Alex GetmanAI के शुरुआती संकेत

GPT-6.1 Sol

OpenAI

जारी अपडेट
संदर्भ विंडो
1M
10,50,000 टोकन
अधिकतम आउटपुट
128K
1,28,000 टोकन
इनपुट / आउटपुट
टेक्स्ट, चित्र → टेक्स्ट

API कीमतें

USD / दस लाख टोकन

इनपुटआउटपुटकैश इनपुट
  • $2.00
openrouter
  • $10.00
openrouter
  • $0.10
openrouter

समयरेखा

  1. · API में उपलब्धता · संदर्भ लिंक · संदर्भ लिंक
  2. · API में उपलब्धता · संदर्भ लिंक
  3. · उत्पाद अपडेट · संदर्भ लिंक
इनपुट/आउटपुट कीमत · USD / दस लाख टोकन
मॉडलसंदर्भ लिंकइनपुट/आउटपुट कीमत
gpt-6.1-sol
batch · long context
openai
API मार्ग उपलब्ध नहीं है
$2.00 (इनपुट > 2,72,000 टोकन) / $7.50 (इनपुट > 2,72,000 टोकन)
gpt-6.1-sol
batch · short context
openai
API मार्ग उपलब्ध नहीं है
$1.00 (इनपुट ≤ 2,72,000 टोकन) / $5.00 (इनपुट ≤ 2,72,000 टोकन)
gpt-6.1-sol
fast · long context
openai
API मार्ग उपलब्ध नहीं है
$8.00 (इनपुट > 2,72,000 टोकन) / $30.00 (इनपुट > 2,72,000 टोकन)
gpt-6.1-sol
fast · short context
openai
API मार्ग उपलब्ध नहीं है
$4.00 (इनपुट ≤ 2,72,000 टोकन) / $20.00 (इनपुट ≤ 2,72,000 टोकन)
gpt-6.1-sol
flex · long context
openai
API मार्ग उपलब्ध नहीं है
$2.00 (इनपुट > 2,72,000 टोकन) / $7.50 (इनपुट > 2,72,000 टोकन)
gpt-6.1-sol
flex · short context
openai
API मार्ग उपलब्ध नहीं है
$1.00 (इनपुट ≤ 2,72,000 टोकन) / $5.00 (इनपुट ≤ 2,72,000 टोकन)
gpt-6.1-sol
standard · long context
openai
API मार्ग उपलब्ध नहीं है
$4.00 (इनपुट > 2,72,000 टोकन) / $15.00 (इनपुट > 2,72,000 टोकन)
gpt-6.1-sol
standard · short context
openai
API मार्ग उपलब्ध नहीं है
$2.00 (इनपुट ≤ 2,72,000 टोकन) / $10.00 (इनपुट ≤ 2,72,000 टोकन)
gpt-6.1-sol
ultrafast · long context
openai
API मार्ग उपलब्ध नहीं है
$24.00 (इनपुट > 2,72,000 टोकन) / $90.00 (इनपुट > 2,72,000 टोकन)
gpt-6.1-sol
ultrafast · short context
openai
API मार्ग उपलब्ध नहीं है
$12.00 (इनपुट ≤ 2,72,000 टोकन) / $60.00 (इनपुट ≤ 2,72,000 टोकन)
openai/gpt-6.1-sol-pro
standard
openrouter$2.00 / $10.00
openai/gpt-6.1-sol-pro:batch
batch
openrouter$1.00 / $5.00
  1. · पुष्टि किया गया उपयोग · OpenAI · official articles · How Third Moment Research runs 10,000 agents for 36+ hours
  2. · संदर्भ लिंक · OpenAI · official articles
    अंश
    Uber will benefit from models like GPT‑6.1 Sol⁠ which will be deployed as the default capability within ChatGPT Work, balancing frontier performance and cost efficiency
  3. · पुष्टि किया गया उपयोग · OpenAI · official articles · GPT-6.1 Sol helps CodeRabbit strengthen security across complex codebases
    अंश
    CodeRabbit reports using GPT‑6.1 Sol to flag security-related issues across thousands of repositories and organizations
  4. · पुष्टि किया गया उपयोग · OpenAI · official articles · DevRev delivers autonomous self-service with GPT-6.1 Sol
  5. · संदर्भ लिंक · OpenAI · official articles
    अंश
    GPT-6.1 Sol is available starting today to all Plus, Pro, Business, Enterprise, and Edu users in ChatGPT Work and Codex
  6. · कैटलॉग में प्रविष्टि · GitHub · openai/openai-node · code
    अंश
    mended replacements. * - "gpt-3.5-turbo-1106": Announced shutdown date: 2026-09-28. See * https://developers.openai.com/api/docs/deprecations for details and * recommended replacements. */ model: | 'gpt-6-astra' | 'gpt-6.1-sol' | 'gpt-6.1-terra' | 'gpt-6-sol' | 'gpt-6-luna' | 'gpt-5.6-sol' | 'gpt-5.6-terra' | 'gpt-5.6-luna' | 'gpt-5.5' | 'gpt-5.5-2026-04-23' | 'gpt-5.4' | 'gpt-5.4-mini' | 'gpt-5.4-nano' | 'gpt-5.4-mini-2026-03-17' | 'gpt-5.4-nano-2026-03-17' | 'gpt-5.3-chat-latest' | 'gpt-5.2' | 'gpt-5.2-2025-12-11' | 'gpt-5.2-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
  7. · पुष्टि किया गया उपयोग · OpenAI · official articles · Cogent and OpenAI build cyber defense factories for enterprises
  8. · कैटलॉग में प्रविष्टि · GitHub · openai/codex · code
    अंश
    o"), AuthCredentialsStoreMode::File, )?; let config = load_default_config_for_test(&codex_home).await; let models = [MODEL, "gpt-5.6-luna", "gpt-6.1-sol"] .into_iter() .map(|slug| { let mut info = codex_core::test_support::construct_model_info_offline(slug, &config); if slug == MODEL { info.auto_review_model_override = Some("gpt-6.1-sol".to_owned()); } info }) .collect();

    कोड में यह उल्लेख उपयोग में आने वाले मॉडल पहचानकर्ता की पुष्टि नहीं करता।

  9. · कैटलॉग में प्रविष्टि · GitHub · openai/codex · code
    अंश
    NDOW: i64 = 272_000; const GPT_5_6_SOL_OPENAI_MODEL_ID: &str = "gpt-5.6-sol"; const GPT_5_6_TERRA_OPENAI_MODEL_ID: &str = "gpt-5.6-terra"; const GPT_5_6_LUNA_OPENAI_MODEL_ID: &str = "gpt-5.6-luna"; const GPT_6_1_SOL_OPENAI_MODEL_ID: &str = "gpt-6.1-sol"; const GPT_6_1_TERRA_OPENAI_MODEL_ID: &str = "gpt-6.1-terra"; const GPT_6_SOL_OPENAI_MODEL_ID: &str = "gpt-6-sol"; const GPT_6_LUNA_OPENAI_MODEL_ID: &str = "gpt-6-luna"; const GPT_6_ASTRA_OPENAI_MODEL_ID: &str = "gpt-6-astra"; const GPT_5_5_OPENAI_MODEL_ID: &str = "gpt-5.5"; pub(crate) fn static_model_catalog() -> ModelsResponse { let catalog = ModelsResponse { models: vec![ bedrock_model( bundled_openai_model(GPT_6_1_SOL_OPENAI_MODEL_ID), AMAZON_BEDROCK_GPT_6_1_SOL_MODEL_ID, "GPT-6.1 Sol", /*priority*/ 0, ), bedrock_mo
  10. · कैटलॉग में प्रविष्टि · GitHub · openai/openai-agents-python · code
    अंश
    "direct", "function", ModelSettings(extra_body={"reasoning_effort": "low"}), False, "low", ), ("gpt-6-sol", "string", "none", ModelSettings(), False, None), ("gpt-6.1-sol", "string", "function", ModelSettings(), False, None), ("gpt-6-astra", "string", "function", ModelSettings(), False, None), ("gpt-6-sol-unknown", "string", "function", ModelSettings(), False, None), ("gpt-6-sol", "string", "function", ModelSettings(), True, None), ], ) @pytest.mark.parametrize("stream", [False, True]) async def test_gpt6_tool_request_defaults( name: str, entry: str, tools: str, settings: ModelSettings, responses: bool, expected: str | None, stream: bool, ) -> None: if responses and stream: pytest.skip("Responses preservation is covered by the non-s

    कोड में यह उल्लेख उपयोग में आने वाले मॉडल पहचानकर्ता की पुष्टि नहीं करता।

  11. · कैटलॉग में प्रविष्टि · GitHub · openai/openai-python · code
    अंश
    ects via API or the dashboard. Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters. """ model: Union[ Literal[ "gpt-6-astra", "gpt-6.1-sol", "gpt-6.1-terra", "gpt-6-sol", "gpt-6-luna", "gpt-5.6-sol", "gpt-5.6-terra", "gpt-5.6-luna", "gpt-5.5", "gpt-5.5-2026-04-23", "gpt-5.4", "gpt-5.4-mini", "gpt-5.4-nano", "gpt-5.4-mini-2026-03-17", "gpt-5.4-nano-2026-03-17", "gpt-5.3-chat-latest", "gpt-5.2", "gpt-5.2-2025-12-11", "gpt-5.2-chat-latest", "gpt-5.2-pro", "gpt-5.2-pro-2025-12-11", "gpt-5.1", "gpt-5.1-2025-11-13",
  12. · कैटलॉग में प्रविष्टि · GitHub · openai/openai-agents-js · code
    अंश
    rCase(); const withoutPinnedDate = normalized.replace(/-\d{4}-\d{2}-\d{2}$/u, ''); return [...new Set([normalized, withoutPinnedDate])]; } const SANDBOX_CONTEXT_WINDOWS_1M = new Set([ 'gpt-6-astra', 'gpt-6-sol', 'gpt-6-luna', 'gpt-6.1-sol', 'gpt-5.6', 'gpt-5.6-sol', 'gpt-5.6-terra', 'gpt-5.6-luna', 'gpt-5.4', 'gpt-5.4-2026-03-05', 'gpt-5.4-pro', 'gpt-5.4-pro-2026-03-05', 'gpt-4.1', 'gpt-4.1-2025-04-14', 'gpt-4.1-mini', 'gpt-4.1-mini-2025-04-14', 'gpt-4.1-nano', 'gpt-4.1-nano-2025-04-14', ]); const SANDBOX_CONTEXT_WINDOWS_400K = new Set([ 'gpt-5', 'gpt-5-codex', 'gpt-5-mini', 'gpt-5-nano', 'gpt-5-pro', 'gpt-5.1', 'gpt-5.1-codex', 'gpt-5.1-codex-max', 'gpt-5.1-codex-mini', 'gpt-5.2', 'gpt-5.2-codex', 'gpt-5.2-codex-cyber', 'gpt-5.2-pro', 'gpt-5.3-codex', 'gpt-5.3-codex-spark', 'gpt-5.4-mini', 'gpt-5.4-nano
  13. · कैटलॉग में प्रविष्टि · Vertex AI · quotas
  14. · संदर्भ लिंक · GitHub · openai/codex · PR
    अंश
    #51794 Advertise Ultrafast for GPT-6.1 Sol on Amazon Bedrock
  15. · Alex की पोस्ट · Alex Getman
    अंश
    I’m seeing a lot of negativity around OpenAI, so let’s separate the real issues from the noise. Since GPT-6.1 Sol came out, I’ve been using it nonstop. In terms of usage, it honestly feels almost like Luna. My limits barely move. I even run it at the Max reasoning level, and it’s still more than enough for the project I’m building. And that’s the main thing. For the most part, people got what they actually needed. As for the complaints about the $500 plan and the $200 limits, I completely agree with those. And the new Dots feature still isn’t available on my plan. Once it rolls out to me, I’ll definitely try it, although right now I don’t really see much potential in it.
  16. · संदर्भ लिंक · GitHub · openai/codex · PR
    अंश
    #49342 [0.159] Backport GPT-6.1 Sol Bedrock catalogs
  17. · संदर्भ लिंक · GitHub · openai/codex · PR
    अंश
    #49339 Add GPT-6.1 Sol to Bedrock catalogs and make it the default
  18. · Alex की पोस्ट · Alex Getman
    अंश
    GPT-6.1 Sol ranks 5th on the AA Intelligence Index Honestly, it feels like they just took Astra, cut the price, and called it Sol. Kind of a rushed rebrand after people roasted OpenAI, let’s be real. I genuinely don’t understand these model names anymore. We got Sol, but it feels like Astra. Before that we had Sol, but it was basically Terra. Anthropic shipped this supposedly incredible Fable, and now Opus is their strongest model. At this point it feels like they basically have two models: the strong one and the weaker one. Everything else is just some weird mix in between. Why make it this confusing?
  19. · Alex की पोस्ट · Alex Getman
    अंश
    OpenAI dropped a bunch of new stuff today. Here’s my quick take: 1. Dots Some kind of OpenClaw alternative, I guess. I didn’t even understand half of it and honestly I don’t care. 2. GPT-6.1 Sol Good. Actually good. Performance is almost at Astra level, but at Sol pricing. Pretty much exactly what we were waiting for, something that can finally put up at least some fight against Opus 5.5. 3. The new $500 plan with Ultra Fast I mostly don’t care about the plan itself, but I hate the fact that OpenAI were the first to push into the $500 subscription territory. Now Anthropic can easily follow. OpenAI basically paved the road for even more user tier discrimination. And the funniest part
  20. · संदर्भ लिंक · GitHub · openai/codex · PR
    अंश
    #49318 Add GPT-6.1 Sol as the default catalog model
  21. · कैटलॉग में प्रविष्टि · OpenAI API
  22. · Alex की पोस्ट · Alex Getman
    अंश
    🚨 GPT-6.1 Sol IS OUT!

संदर्भ लिंक

संकेत 6

विनिर्देश

GPT-6.1 Sol, OpenAI का AI मॉडल है। रिलीज़ की तारीख: 2026-09-22। कॉन्टेक्स्ट विंडो 10,50,000 टोकन है। अधिकतम आउटपुट 1,28,000 टोकन है। प्रति दस लाख टोकन की कीमत इनपुट के लिए $2.00 और आउटपुट के लिए $10.00 है।

संदर्भ विंडो
10,50,000
अधिकतम आउटपुट
1,28,000
इनपुट
टेक्स्ट · चित्र
आउटपुट
टेक्स्ट
इनपुट · USD / दस लाख टोकन
$2.00
आउटपुट · USD / दस लाख टोकन
$10.00
कैश इनपुट · USD / दस लाख टोकन
$0.10

प्रश्न

GPT-6.1 Sol की संदर्भ विंडो कितनी है?

कॉन्टेक्स्ट विंडो 10,50,000 टोकन है। अधिकतम आउटपुट 1,28,000 टोकन है।

GPT-6.1 Sol की कीमत कितनी है?

प्रति दस लाख टोकन की कीमत इनपुट के लिए $2.00 और आउटपुट के लिए $10.00 है। कैश इनपुट की कीमत प्रति दस लाख टोकन $0.10 है।

GPT-6.1 Sol कब जारी हुआ?

2026-09-22 को।