在 Artificial Analysis 發現 GPT-6.1 Sol
已確認5個參考連結
英文原文

OpenAI
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| 模型 | 參考連結 | 輸入/輸出價格 |
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gpt-6.1-solbatch · long context | openai API 路由無法使用 | $2.00 (輸入 > 272,000 token) / $7.50 (輸入 > 272,000 token) |
gpt-6.1-solbatch · short context | openai API 路由無法使用 | $1.00 (輸入 ≤ 272,000 token) / $5.00 (輸入 ≤ 272,000 token) |
gpt-6.1-solfast · long context | openai API 路由無法使用 | $8.00 (輸入 > 272,000 token) / $30.00 (輸入 > 272,000 token) |
gpt-6.1-solfast · short context | openai API 路由無法使用 | $4.00 (輸入 ≤ 272,000 token) / $20.00 (輸入 ≤ 272,000 token) |
gpt-6.1-solflex · long context | openai API 路由無法使用 | $2.00 (輸入 > 272,000 token) / $7.50 (輸入 > 272,000 token) |
gpt-6.1-solflex · short context | openai API 路由無法使用 | $1.00 (輸入 ≤ 272,000 token) / $5.00 (輸入 ≤ 272,000 token) |
gpt-6.1-solstandard · long context | openai API 路由無法使用 | $4.00 (輸入 > 272,000 token) / $15.00 (輸入 > 272,000 token) |
gpt-6.1-solstandard · short context | openai API 路由無法使用 | $2.00 (輸入 ≤ 272,000 token) / $10.00 (輸入 ≤ 272,000 token) |
gpt-6.1-solultrafast · long context | openai API 路由無法使用 | $24.00 (輸入 > 272,000 token) / $90.00 (輸入 > 272,000 token) |
gpt-6.1-solultrafast · short context | openai API 路由無法使用 | $12.00 (輸入 ≤ 272,000 token) / $60.00 (輸入 ≤ 272,000 token) |
openai/gpt-6.1-sol-prostandard | openrouter | $2.00 / $10.00 |
openai/gpt-6.1-sol-pro:batchbatch | openrouter | $1.00 / $5.00 |
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
CodeRabbit reports using GPT‑6.1 Sol to flag security-related issues across thousands of repositories and organizations
GPT-6.1 Sol is available starting today to all Plus, Pro, Business, Enterprise, and Edu users in ChatGPT Work and Codex
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
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();
此程式碼引用並不能證實這是實際使用中的模型識別碼。
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
"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
此程式碼引用並不能證實這是實際使用中的模型識別碼。
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",
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
#51794 Advertise Ultrafast for GPT-6.1 Sol on Amazon Bedrock
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.
#49342 [0.159] Backport GPT-6.1 Sol Bedrock catalogs
#49339 Add GPT-6.1 Sol to Bedrock catalogs and make it the default
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?
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
#49318 Add GPT-6.1 Sol as the default catalog model
🚨 GPT-6.1 Sol IS OUT!
gpt-6.1-solGPT-6.1 Sol 是 OpenAI 的 AI 模型,於 2026-09-22 發布。 上下文視窗為1,050,000 token。 最大輸出為128,000 token。 每百萬 token 的價格為:輸入 $2.00,輸出 $10.00。
上下文視窗為1,050,000 token。 最大輸出為128,000 token。
每百萬 token 的價格為:輸入 $2.00,輸出 $10.00。 快取輸入價格為每百萬 token $0.10。
2026-09-22。