GPT-5
OpenAI
- Ventana de contexto
- 400K 400.000 tokens
- Salida máxima
- 128K 128.000 tokens
- Entrada / Salida
- texto, imagen → texto
Precios de API
USD / 1 millón de tokens
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Cronología
- · Lanzado · enlace de referencia
- · Disponibilidad en API · enlace de referencia · enlace de referencia
Precio entrada/salida · USD / 1 millón de tokens
- · Enlaces de referencia · OpenAI · official articles
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GPT‑5 is starting to roll out today to all Plus, Pro, Team, and Free users, with access for Enterprise and Edu coming next week
- · Enlaces de referencia · OpenAI · official articles
- · Uso confirmado · OpenAI · official articles · Introducing Aardvark: OpenAI’s agentic security researcher
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Today, we’re announcing Aardvark, an agentic security researcher powered by GPT‑5
- · Enlaces de referencia · OpenAI · official articles
- · Enlaces de referencia · OpenAI · official articles
- · Enlaces de referencia · OpenAI · official articles
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Our Priority Processing(opens in a new window) customers will also experience noticeably faster performance with GPT‑5.1 over GPT‑5
- · Enlaces de referencia · OpenAI · Model release notes
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GPT-5 will be available to ChatGPT Enterprise and Edu plans soon
- · Entrada de catálogo · GitHub · openai/openai-node · code
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reference/resources/models/methods/list) * API to see all of your available models, or see our * [Model overview](https://developers.openai.com/api/docs/models) for descriptions * of them. */ model?: | (string & {}) | 'gpt-5' | 'gpt-5-mini' | 'gpt-5-nano' | 'gpt-5-2025-08-07' | 'gpt-5-mini-2025-08-07' | 'gpt-5-nano-2025-08-07' | 'gpt-4.1' | 'gpt-4.1-mini' | 'gpt-4.1-nano' | 'gpt-4.1-2025-04-14' | 'gpt-4.1-mini-2025-04-14' | 'gpt-4.1-nano-2025-04-14' | 'o3-mini' | 'o3-mini-2025-01-31' | 'o1' | 'o1-2024-12-17' | 'gpt-4o' | 'gpt-4o-2024-11-20' | 'gpt-4o-2024-08-06' | 'gpt-4o-2024-05-13' | 'gpt-4o-mini' | 'gpt-4o-mini-2024-07-18' | 'gpt-4.5-preview' | 'gpt-4.5-preview-2025-02-27' | 'gpt-4-turbo' | 'gpt-4-turbo-2024-04-09' | 'gpt-4-0125-preview' | 'gp
- · Entrada de catálogo · GitHub · openai/codex · code
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ec timeout from killing a 15s helper script. #[command(name = "live-elicitation-timeout-pause")] LiveElicitationTimeoutPause { /// Model passed to `thread/start`. #[arg(long, env = "CODEX_E2E_MODEL", default_value = "gpt-5")] model: String, /// Existing workspace path used as the turn cwd. #[arg(long, value_name = "path", default_value = ".")] workspace: PathBuf, /// Helper script to run from the model; defaults to the repo-local /// live elicitation hold script. #[arg(long, value_name = "path")] script: Option<PathBuf>, /// Seconds the helper script should sleep while the timeout is paused. #[arg(long, default_value_t = 15)] hold_seconds: u64, }, /// Exercise remote plugin analytics through production app-server RPC paths. #[command(name = "plugin-ana
- · Entrada de catálogo · GitHub · openai/openai-agents-python · code
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""" if any(pattern.fullmatch(model_name) for pattern in _GPT_5_CHAT_MODEL_PATTERNS): # Chat-latest aliases do not accept reasoning.effort. return False # matches any of gpt-5 models return model_name.startswith("gpt-5") def is_gpt_5_default() -> bool: """ Returns True if the default model is a GPT-5 model. This is used to determine if the default model settings are compatible with GPT-5 models. If the default model is not a GPT-5 model, the model settings are compatible with other models. """ return gpt_5_reasoning_settings_required(get_default_model()) def get_default_model() -> str: """ Returns the default model name. """ return os.getenv(OPENAI_DEFAULT_MODEL_ENV_VARIABLE_NAME, "gpt-5.6-luna").lower() def get_default_model_settings(model: str | None = None) -> ModelSettings: """ Returns the
- · Entrada de catálogo · GitHub · openai/codex · code
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-1".to_string(), thread_id: thread_id.to_string(), product_surface: Some("codex".to_string()), model_slug: Some("gpt-5.1-codex".to_string()), completed_at: 1, repo_hash: None, accepted_added_lines: 1, accepted_deleted_lines: 0, line_fingerprints: [], }, }, )) } fn sample_skill_track_event(thread_id: &str, plugin_id: Option<&str>) -
Esta referencia en el código no confirma un identificador de modelo en uso.
- · Entrada de catálogo · GitHub · openai/codex · code
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/definitions/WebSearchToolConfig" }, { "type": "null" } ] } }, "type": "object" }, "Verbosity": { "description": "Controls output length/detail on GPT-5 models via the Responses API. Serialized with lowercase values to match the OpenAI API.", "enum": [ "low", "medium", "high" ], "type": "string" }, "WebSearchContextSize": { "enum": [ "low", "medium", "high" ], "type": "string" }, "WebSearchLocation": { "additionalProperties": false, "properties": { "city": { "type": [ "string", "null" ] }, "country": { "type": [ "string", "null" ] }, "region": {
Esta referencia en el código no confirma un identificador de modelo en uso.
- · Entrada de catálogo · GitHub · openai/openai-agents-python · code
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n from agents import Agent, RunConfig, Runner agent = Agent( name="Assistant", instructions="You're a helpful agent.", ) result = await Runner.run( agent, "Hello", run_config=RunConfig(model="gpt-5.6-sol"), ) ``` #### GPT-5 モデル {#gpt-5-models} この方法で `gpt-5.6-sol` などの GPT-5 モデルを使用すると、SDK はデフォルトの `ModelSettings` を適用します。これには、ほとんどのユースケースで最適に機能する設定が含まれます。デフォルトモデルの推論労力を調整するには、独自の `ModelSettings` を渡します。 ```python from openai.types.shared import Reasoning from agents import Agent, ModelSettings my_agent = Agent( name="My Agent", instructions="You're a helpful agent.", # If OPENAI_DEFAULT_MODEL=gpt-5.6-sol is set, passing only model_settings works. # It's also fine to pass a GPT-5 model name explicitly: model="gpt-5.6-sol", model_settings=ModelSettings(reasoning=Reasoning(effort="high"), verbosity="low"), ) ``` レイテンシーを抑えるには、GPT-5 モデ
Esta referencia en el código no confirma un identificador de modelo en uso.
- · Entrada de catálogo · GitHub · openai/openai-python · code
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chat-latest", "gpt-5.2-pro", "gpt-5.2-pro-2025-12-11", "gpt-5.1", "gpt-5.1-2025-11-13", "gpt-5.1-codex", "gpt-5.1-mini", "gpt-5.1-chat-latest", "gpt-5", "gpt-5-mini", "gpt-5-nano", "gpt-5-2025-08-07", "gpt-5-mini-2025-08-07", "gpt-5-nano-2025-08-07", "gpt-5-chat-latest", "gpt-4.1", "gpt-4.1-mini", "gpt-4.1-nano", "gpt-4.1-2025-04-14", "gpt-4.1-mini-2025-04-14", "gpt-4.1-nano-2025-04-14", "o4-mini", "o4-mini-2025-04-16", "o3", "o3-2025-04-16", "o3-mini", "o3-mini-2025-01-31", "o1", "o1-2024-12-17", "o1-preview", "o1-previ
- · Entrada de catálogo · GitHub · openai/openai-agents-js · code
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oadEnv } from './config'; import { ModelSettings, ModelSettingsReasoningEffort } from './model'; export const OPENAI_DEFAULT_MODEL_ENV_VARIABLE_NAME = 'OPENAI_DEFAULT_MODEL'; const GPT_5_CHAT_MODEL_PATTERNS = [ /^gpt-5-chat-latest$/, /^gpt-5\.1-chat-latest$/, /^gpt-5\.2-chat-latest$/, /^gpt-5\.3-chat-latest$/, ] as const; /** * Returns True if the model name is a GPT-5 model and reasoning settings are required. */ export function gpt5ReasoningSettingsRequired(modelName: string): boolean { if (GPT_5_CHAT_MODEL_PATTERNS.some((pattern) => pattern.test(modelName))) { // Chat-latest aliases do not accept reasoning.effort. return false; } // matches any of gpt-5 models return modelName.startsWith('gpt-5'); } /** * Identifies the GPT-5-and-newer settings family, excluding known chat aliases. * Membership does not require a model-specific default reas
- · Enlaces de referencia · OpenAI · Model release notes
- · Enlaces de referencia · OpenAI · Model release notes
- · Enlaces de referencia · OpenAI · API changelog
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Use it to opt in to longer GPT-5+ reasoning web search runs for high-effort research and evaluation workloads
- · Enlaces de referencia · OpenAI · news
- · Enlaces de referencia · OpenAI · news
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Introducing GPT-5 in our API platform—offering high reasoning performance, new controls for devs, and best-in-class results on real coding tasks
- · Enlaces de referencia · OpenAI · Codex changelog
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Starting April 7, the model picker no longer shows gpt-5.2-codex , gpt-5.1-codex-mini , gpt-5.1-codex-max , gpt-5.1-codex , gpt-5.1 , or gpt-5
- · Enlaces de referencia · OpenAI · ChatGPT release notes
- · Enlaces de referencia · OpenAI · ChatGPT release notes
- · Enlaces de referencia · OpenAI · ChatGPT release notes
- · Enlaces de referencia · OpenAI · ChatGPT release notes
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GPT-5 will be available to ChatGPT Enterprise and Edu plans soon
- · Publicaciones de Alex · Alex Getman
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GPT-6 Luna may already be in A/B testing. Some GPT-5.6 Luna requests are being served as GPT-6 Luna behind the scenes.
- · Publicaciones de Alex · Alex Getman
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Jev is out, a new AI model from startup TypeSafe AI It is built for fast decision making inside apps. You give it context and possible actions, and it picks the best option with probability and confidence. TypeSafe says Jev reaches GPT 5.6 Terra level on these tasks, responds in 70 to 500ms, and costs $0.042 per 1M input tokens. Output is free. It can route support tickets, score risk, and check AI agent actions.
- · Publicaciones de Alex · Alex Getman
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🚨 DeepSeek V4.1 Flash is out • New architecture: it only uses the part of the model it actually needs, making it faster and cheaper. • New KV cache: long conversations and agent workflows are noticeably cheaper to run. • On coding and agent tasks, it’s already close to Opus 5 and GPT-5.6 Sol. • And all of that at 15x lower cost.
- · Publicaciones de Alex · Alex Getman
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Claude is no longer the best model for frontend GPT-6 Astra just took the #1 spot, knocking Claude Fable 5.1 off the top The jump is massive: the previous GPT generation, GPT-5.6 Sol, was #13 A GPT model hasn’t led frontend since August 2025
- · Publicaciones de Alex · Alex Getman
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⚡️ Muse Spark takes 3rd place on the AA Intelligence Index, tying Claude Fable 5 and beating GPT-5.6 Sol
- · Publicaciones de Alex · Alex Getman
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🚨 Meta released Muse Spark 1.3 • beats GPT 5.6 Sol and Opus 5 on long coding tasks • matches GPT 5.6 Sol on terminal coding • huge jump in long context, scoring 98%+ • uses around 20% fewer tool calls and 25% fewer tokens than Spark 1.2
- · Publicaciones de Alex · Alex Getman
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🚨 Google released Gemini 3.8 Flash • still $0.75 per 1M input tokens • at the same price, it is noticeably stronger than Gemini 3.7 Flash across almost the entire table • especially big gains in autonomous computer use and complex scientific tasks • beats GPT 5.6 Terra, a model in the same class, on almost every benchmark
- · Publicaciones de Alex · Alex Getman
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⚡️ OpenAI added Luna Reserve after you hit your usage limits The official docs now mention Luna Reserve. Selected Plus and Pro accounts can keep working in Codex and ChatGPT Work with GPT 5.6 Luna after hitting their regular usage limit. Luna Reserve has its own separate limit and isn't available to everyone yet.
- · Publicaciones de Alex · Alex Getman
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⚡️ Qwen 3.8 27B beat GPT 5.6 Terra This happened in the AA Agentic Index, a benchmark that tests how well models handle agentic tasks. And you can run Qwen 3.8 27B locally on a single RTX 3090.
- · Publicaciones de Alex · Alex Getman
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GPT 5.6 Luna is now a native subagent It can now work alongside Sol and Terra. Until now, Luna was on the previous subagent system, so users had to rely on workarounds to plug it in.
- · Publicaciones de Alex · Alex Getman
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⚡️ Z.ai released GLM 5.3 The new model is noticeably stronger than GLM 5.2 in coding, agents, and cybersecurity. Across benchmarks, GLM 5.3 is already very close to GPT 5.6 Sol. API pricing isn’t public yet, but I’m pretty sure it’ll be at least 2 to 3x cheaper than Sol. Open weights are coming in 2 weeks.
- · Publicaciones de Alex · Alex Getman
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Very few people know this, but Muse Spark 1.2 might be the best value model on the market right now. Its intelligence is around GPT-5.6 Terra. But if you use Muse Code and agree to code analysis through the Contributor tier, the price drops 10–20x. So you basically get Terra-level intelligence at Luna-level cost.
- · Publicaciones de Alex · Alex Getman
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⚡️ Grok 4.6 is out It’s a solid jump over Grok 4.5 in agents, coding and long project work. On Artificial Analysis, it’s already matching GPT 5.6 Sol. API pricing is $2 input and $6 output, versus $5 and $30 for Sol.
- · Publicaciones de Alex · Alex Getman
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⚡️ OpenAI released GPT-5.6 Cyber It is a new model built to find and fix vulnerabilities. GPT-5.6 Cyber handles 95% of cybersecurity requests, compared with just 1.5% for GPT-5.6 Sol. The model has already found two previously unknown vulnerabilities in Chrome’s engine. Access requires OpenAI approval.
- · Publicaciones de Alex · Alex Getman
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🎉 GPT 5 is one year old OpenAI had a rough start, but over the past year the lineup has evolved into GPT 5.6 Sol, a full fledged flagship and one of the strongest models on the market. The next big step should be Astra, the leading candidate for GPT 6 and a competitor to Claude Fable and Mythos.
- · Publicaciones de Alex · Alex Getman
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Over the last few days, I burned through around 1.5 billion tokens using GPT-5.6 Luna. At first, I ran it on Max reasoning because that’s what everyone was recommending. Later I switched to xHigh. Max costs about twice as much as xHigh and, from what I can tell, also takes about twice as long to think. My main takeaway is that the model is genuinely very good. For short and medium tasks, I often had Claude Opus 5 double check Luna’s work, and most of the time it agreed with the result. Longer tasks are a different story. Luna can overthink things, lose track of what it was doing at the beginning, handle the middle well, and then fail to finish the last part properly. On these longer task
- · Publicaciones de Alex · Alex Getman
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⚡️ OpenAI just upgraded GPT 5.6 Sol for paid ChatGPT users It now gives tighter, more accurate answers, makes fewer factual mistakes, and feels consistent in both quick and deep thinking modes. Plus and Pro users also get a new slider to control how much thinking goes into each response.
- · Publicaciones de Alex · Alex Getman
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⚡️ GPT 5.6 Luna is becoming the default model for ChatGPT Free and Go users Starting next week, it will also come with unlimited text chats and a new Think button for harder questions.
- · Publicaciones de Alex · Alex Getman
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⚡️ Alibaba released Qwen 3.8 Max The new 2.4T parameter flagship benchmarks in the same league as GPT-5.6 Sol, Claude Opus 4.8 and Fable 5. API pricing is $2/M input and $6/M output, roughly half the cost of GPT-5.6 Terra and Claude Sonnet. Now it’s up to users to see whether Qwen can beat DeepSeek-V4-Flash and GPT-5.6 Luna on price to performance.
- · Publicaciones de Alex · Alex Getman
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Yesterday GPT 5.6 Luna pushed the Pareto frontier for intelligence and cost. Today DeepSeek V4 Flash did it again and pushed it even further.
- · Publicaciones de Alex · Alex Getman
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Using GPT 5.6 Luna Max, you get the power of March’s flagship GPT 5.4 xhigh for one thirteenth of its price.
- · Publicaciones de Alex · Alex Getman
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⚡️ OpenAI just slashed GPT 5.6 prices Luna is now 80% cheaper, while Terra dropped 20%. The cuts also apply to subscriptions, with both models now using less of your quota. Luna is now cheaper than DeepSeek V4 Pro on input. One million tokens cost $0.20 vs $0.435.
- · Publicaciones de Alex · Alex Getman
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⚡️ GPT 5.6 Sol Ultrafast drops tomorrow The model will run on Cerebras chips and generate up to 750 tokens per second. It has already appeared on OpenRouter under the codename Ra, named after the ancient Egyptian sun god.
- · Publicaciones de Alex · Alex Getman
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🚨 OPENAI RESET CODEX LIMITS • GPT-5.6 Sol now drains your limits 18% slower. • The five-hour limit returns tomorrow.
- · Publicaciones de Alex · Alex Getman
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🚨 LEAK: Two new OpenAI models, Zinc and Magnesium, appeared in DesignArena. Likely GPT 5.6 Sol and Terra upgrades built to take on Claude Opus 5.
- · Publicaciones de Alex · Alex Getman
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OpenAI’s AI hacked Hugging Face to cheat on a benchmark GPT-5.6 Sol and a more powerful unreleased model were running an internal cybersecurity benchmark with reduced safety restrictions. At some point, the agent figured the answers might be stored on Hugging Face and started looking for a way to reach them. The model found a zero-day inside OpenAI’s infrastructure, escalated its privileges and gained internet access. It then stole credentials, broke into Hugging Face systems and reached the database containing ExploitGym solutions. The whole operation was carried out autonomously. Hugging Face reconstructed more than 17,000 actions performed by the agent. The company had to use the Chine
- · Publicaciones de Alex · Alex Getman
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GPT-5.6 Sol brought RollerCoaster Tycoon 2 to the iPad Developer Chris Sotiradis used Codex to build a native iPad version of the game. He took the open-source OpenRCT2 engine, compiled it for ARM64, and added full touchscreen controls. You can build coasters and paths, play through scenarios, manage your park, move around the map, zoom in, and rotate objects directly on the screen. Mouse, trackpad, and keyboard are supported too.
- · Publicaciones de Alex · Alex Getman
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Alibaba just teased Qwen3.8 with 2.4T parameters This is the new Qwen flagship, with open weights coming soon. Alibaba ranks it right below Claude Fable 5. Public benchmarks are still missing, so nobody really knows how close it actually is to Fable, or how it stacks up against GPT-5.6 Sol and Kimi K3. Pricing is the fun part. Kimi K3 costs $3/$15, so Qwen3.8 will probably land in the same range. The preview is already live in Qoder. It uses 10x fewer credits during the day and 50x fewer at night, so you can basically test it for free.
- · Publicaciones de Alex · Alex Getman
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⚡️ RELEASE: KIMI K3 Moonshot just dropped its new flagship: 2.8T parameters, a 1M-token context window, native vision, and a focus on large projects, coding, games, and 3D. Full weights are expected in the next few days. API: $3 / $15 per million input/output tokens. Pricing-wise, that puts it around Sonnet 5 or GPT-5.6 Terra, while Moonshot’s own benchmarks have it taking shots at Opus 4.8 and Sol. So basically: Opus-class performance at Sonnet pricing. You can already try it for free on the Kimi website or through Kimi Code CLI.
- · Publicaciones de Alex · Alex Getman
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I teach business owners and leaders how to use AI, while building my own bilingual presence as a creator across my website and social platforms. Publishing across multiple platforms in two languages means keeping drafts, videos, schedules, platform-specific requirements, analytics, and notifications in sync - without letting anything fall through the cracks. So, as a solo developer, I’m building my own open-source publishing system with GPT-5.6 Sol: https://github.com/alexgetmancom/alexgetman.com The latest major update is the core of Studio: a single system that connects the entire content workflow - from creating and editing content to publishing it across different platforms, deliverin
- · Publicaciones de Alex · Alex Getman
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CODEX GIVEAWAY $100 in API credits Post about GPT-5.6 Sol on Twitter. First 10K get the bag.
- · Publicaciones de Alex · Alex Getman
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CODEX NEWS • GPT-5.6 Sol now uses 10% fewer tokens. • The context window was rolled back from 372K to 272K. They’re investigating why the larger window became more resource-hungry. • Subagent launches have been fixed. 🎁 Expect a little gift today: a banked reset.
- · Publicaciones de Alex · Alex Getman
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GPT-5.6 Sol tops the frontend leaderboard Fresh metrics from Arena AI delivered an unexpected result: GPT-5.6 Sol xHigh shares first place with Claude Fable 5 in Code Arena: Frontend. This is the first time an OpenAI model has reached the top of the leaderboard. Sol costs $5 per million input tokens and $30 per million output tokens, roughly half the price of Fable. Yet it can already compete with it in frontend development, web app creation, and agentic coding. Anthropic now has a real competitor. Removing Fable from its subscription or restricting access has become risky, as users could simply switch to GPT-5.6 Sol. It looks like the development of Opus 5.0 may now need to accelerate.
- · Publicaciones de Alex · Alex Getman
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Grok 4.5: a new competitor to GPT and Claude Posting this a little late, but I prepared something interesting. Grok 4.5 is temporarily available to test for free in Grok Build and Cursor. The model runs at around 80 tokens per second, supports a context window of up to 500,000 tokens, and costs $2 per million input tokens and $6 per million output tokens. According to Musk, Grok 4.5 was trained from scratch on SpaceXAI’s own foundation and is not built on top of Kimi like Composer. In terms of quality, Grok 4.5 comes close to GPT-5.6 Terra, while its pricing is closer to Luna. Among Anthropic models, it sits between Haiku and Sonnet, making it especially attractive in terms of price-to-pe
- · Publicaciones de Alex · Alex Getman
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Release: GPT-5.6 Sol, Terra, and Luna OpenAI has released a new GPT-5.6 lineup. Sol is the top model, Terra is for everyday tasks, and Luna is the fastest and cheapest option. The logic is close to Claude with Opus, Sonnet, and Haiku, just in OpenAI’s own naming. The most interesting model is Sol. In price, it sits closer to Claude Opus than to Fable. Fable remains the expensive top-tier Claude model for complex coding, while Sol offers flagship-level capabilities for less money. OpenAI is also pushing frontend: better layout, visual hierarchy, design, and understanding of what the user wanted. The model can write code, open the result, spot issues, and fix them. Ultra mode runs multiple
- · Publicaciones de Alex · Alex Getman
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⚡ GPT-5.6 DROPS THURSDAY
- · Publicaciones de Alex · Alex Getman
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AI completes 16% of the freelance tasks in Remote Labor Index CAIS updated the Remote Labor Index — a benchmark where AI agents complete real client projects: design, video, CAD, architecture, analytics, and web apps. The work is reviewed by humans and compared against a professional deliverable that a paying client would accept. New results: • Claude Fable 5 — 16.1% • Claude Opus 4.8 — 8.3% • GPT-5.5 — 6.3% Fable 5 is now the top model in RLI and almost 2x higher than Opus 4.8. When the benchmark launched, the best result was 2.5%.
- · Publicaciones de Alex · Alex Getman
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GPT-5.6 Sol: not just a safety question A limited Sol rollout is understandable: powerful models need testing. But the problem is access. While regular users wait, some partners are already getting the model. If Sol is actually better at coding, research, and product work, early access gives them an advantage. The main question is: who gets these models first, under what rules, and for how long?
- · Publicaciones de Alex · Alex Getman
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GPT 5.6 Sol vs Mythos: no clear winner Based on the numbers, there is no blowout in either direction. GPT 5.6 Sol looks stronger on terminal-based tasks and slightly beats Claude Mythos in CyberGym. But in cyber exploitation and medicine, the advantage remains with Mythos / Fable 5. At the same time, I wouldn’t draw big conclusions from benchmarks alone. What matters more now is real feedback from developers, the model’s behavior on long tasks, and testing it yourself in actual workflows.
- · Publicaciones de Alex · Alex Getman
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GPT-5.6 Sol - not a new brain, but a new build Sol is not a new base model trained from scratch. This has already been confirmed in the release discussion. Base training is the stage where a model forms its foundation: language, knowledge, logic, world understanding, and the ability to solve tasks. So GPT-5.6 is not a new foundation, but an improvement of the existing line: additional training, reasoning, tools, and operating modes. The real revolution will start with a new base model. Most likely, that will be GPT-6.
- · Publicaciones de Alex · Alex Getman
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The most powerful AI models are starting to look less like products and more like passes into a closed club. Publicly, we hear: “safety,” “staged rollout,” “available soon.” In practice: some people get GPT-5.6 now, while everyone else waits for permission. That is a dangerous precedent. Because the real divide won’t be between people who use AI and people who don’t. It will be between those who got the best AI in time — and those who got it after the game had already started.
- · Publicaciones de Alex · Alex Getman
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Feedback on GPT-5.6 from the founder of OpenCode • Dax says he usually doesn’t hype new models. But GPT-5.6 has noticeably changed how his team works. • The key point: he doesn’t think the model writes good code on its own. What he likes is not the out-of-the-box result, but the process of getting to good code with it. • According to him, GPT-5.6 understands the task better and loses fewer details along the way. It also catches things the developer may have forgotten. • The problems are still there: the model can still be overly defensive and write unnecessary code. Sometimes they do another pass afterward and delete half of what it wrote. • The most telling fact: his team’s token usage is
- · Publicaciones de Alex · Alex Getman
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OpenAI announced GPT-5.6 Sol, Terra, and Luna • Sol — the new flagship model for complex agentic workflows • GPT-5.6 introduces max reasoning and ultra modes with subagents • Key focus areas include coding, biology, and cybersecurity • Access is currently limited following a request from the U.S. government • Pricing ranges from $1/M input tokens to $30/M output tokens • In July, Sol will launch on Cerebras at up to 750 tokens/sec
- · Publicaciones de Alex · Alex Getman
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GPT-5.6 delayed at Trump’s request? The Trump administration asked OpenAI to release its new model gradually over security concerns, The Information reports.
Señales 1
Especificaciones
GPT-5 es un modelo de OpenAI, lanzado el 2025-08-07. La ventana de contexto es de 400.000 tokens. El máximo de salida es de 128.000 tokens. El precio por millón de tokens es de $1,25 para la entrada y $10,00 para la salida.
- Ventana de contexto
- 400.000
- Salida máxima
- 128.000
- Entrada
- texto · imagen
- Salida
- texto
- Entrada · USD / 1 millón de tokens
- $1,25
- Salida · USD / 1 millón de tokens
- $10,00
- Entrada en caché · USD / 1 millón de tokens
- $0,125
Preguntas
¿Cuál es la ventana de contexto de GPT-5?
La ventana de contexto es de 400.000 tokens. El máximo de salida es de 128.000 tokens.
¿Cuánto cuesta GPT-5?
El precio por millón de tokens es de $1,25 para la entrada y $10,00 para la salida. La entrada en caché cuesta $0,125 por millón.
¿Cuándo se lanzó GPT-5?
El 2025-08-07.