Alex Getmanearly AI signals

GPT-6.1 Sol

OpenAI

Released Updated
Context window
1M
1,050,000 tokens
Max output
128K
128,000 tokens
Input / Output
text, image → text

API pricing

USD / 1M tokens

InputOutputCached input
  • $2.00
openrouter
  • $10.00
openrouter
  • $0.10
openrouter

Timeline

  1. · API availability · evidence link · evidence link
  2. · API availability · evidence link
  3. · Product update · evidence link
Input / output price · USD / 1M tokens
ModelEvidence linksInput / output price
gpt-6.1-sol
batch · long context
openai
API route unavailable
$2.00 (Input > 272,000 tokens) / $7.50 (Input > 272,000 tokens)
gpt-6.1-sol
batch · short context
openai
API route unavailable
$1.00 (Input ≤ 272,000 tokens) / $5.00 (Input ≤ 272,000 tokens)
gpt-6.1-sol
fast · long context
openai
API route unavailable
$8.00 (Input > 272,000 tokens) / $30.00 (Input > 272,000 tokens)
gpt-6.1-sol
fast · short context
openai
API route unavailable
$4.00 (Input ≤ 272,000 tokens) / $20.00 (Input ≤ 272,000 tokens)
gpt-6.1-sol
flex · long context
openai
API route unavailable
$2.00 (Input > 272,000 tokens) / $7.50 (Input > 272,000 tokens)
gpt-6.1-sol
flex · short context
openai
API route unavailable
$1.00 (Input ≤ 272,000 tokens) / $5.00 (Input ≤ 272,000 tokens)
gpt-6.1-sol
standard · long context
openai
API route unavailable
$4.00 (Input > 272,000 tokens) / $15.00 (Input > 272,000 tokens)
gpt-6.1-sol
standard · short context
openai
API route unavailable
$2.00 (Input ≤ 272,000 tokens) / $10.00 (Input ≤ 272,000 tokens)
gpt-6.1-sol
ultrafast · long context
openai
API route unavailable
$24.00 (Input > 272,000 tokens) / $90.00 (Input > 272,000 tokens)
gpt-6.1-sol
ultrafast · short context
openai
API route unavailable
$12.00 (Input ≤ 272,000 tokens) / $60.00 (Input ≤ 272,000 tokens)
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. · Evidence links · OpenAI · official articles
    Excerpt
    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
  2. · Confirmed use · OpenAI · official articles · GPT-6.1 Sol helps CodeRabbit strengthen security across complex codebases
    Excerpt
    CodeRabbit reports using GPT‑6.1 Sol to flag security-related issues across thousands of repositories and organizations
  3. · Confirmed use · OpenAI · official articles · DevRev delivers autonomous self-service with GPT-6.1 Sol
  4. · Evidence links · OpenAI · official articles
    Excerpt
    GPT-6.1 Sol is available starting today to all Plus, Pro, Business, Enterprise, and Edu users in ChatGPT Work and Codex
  5. · Catalogue listing · GitHub · openai/openai-node · code
    Excerpt
    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
  6. · Confirmed use · OpenAI · official articles · Cogent and OpenAI build cyber defense factories for enterprises
  7. · Catalogue listing · GitHub · openai/codex · code
    Excerpt
    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();

    This code reference does not establish a working model identifier.

  8. · Catalogue listing · GitHub · openai/codex · code
    Excerpt
    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
  9. · Catalogue listing · GitHub · openai/openai-agents-python · code
    Excerpt
    "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

    This code reference does not establish a working model identifier.

  10. · Catalogue listing · GitHub · openai/openai-python · code
    Excerpt
    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",
  11. · Catalogue listing · GitHub · openai/openai-agents-js · code
    Excerpt
    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
  12. · Catalogue listing · Vertex AI · quotas
  13. · Evidence links · GitHub · openai/codex · PR
    Excerpt
    #51794 Advertise Ultrafast for GPT-6.1 Sol on Amazon Bedrock
  14. · Alex's posts · Alex Getman
    Excerpt
    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.
  15. · Evidence links · GitHub · openai/codex · PR
    Excerpt
    #49342 [0.159] Backport GPT-6.1 Sol Bedrock catalogs
  16. · Evidence links · GitHub · openai/codex · PR
    Excerpt
    #49339 Add GPT-6.1 Sol to Bedrock catalogs and make it the default
  17. · Alex's posts · Alex Getman
    Excerpt
    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?
  18. · Alex's posts · Alex Getman
    Excerpt
    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
  19. · Evidence links · GitHub · openai/codex · PR
    Excerpt
    #49318 Add GPT-6.1 Sol as the default catalog model
  20. · Catalogue listing · OpenAI API
  21. · Alex's posts · Alex Getman
    Excerpt
    🚨 GPT-6.1 Sol IS OUT!

Evidence links

Alex's take

Signals 6

OpenAIReleased

GPT-6.1 Sol

Supported2 evidence links

Alex's posts 3

Specifications

GPT-6.1 Sol is a model from OpenAI, released on 22 Sep 2026. The context window is 1,050,000 tokens. The maximum output is 128,000 tokens. Pricing is $2.00 per million input tokens and $10.00 per million output tokens.

Context window
1,050,000
Max output
128,000
Input
text · image
Output
text
Input · USD / 1M tokens
$2.00
Output · USD / 1M tokens
$10.00
Cached input · USD / 1M tokens
$0.10

Questions

What is the context window of GPT-6.1 Sol?

The context window is 1,050,000 tokens. The maximum output is 128,000 tokens.

How much does GPT-6.1 Sol cost?

Pricing is $2.00 per million input tokens and $10.00 per million output tokens. Cached input is $0.10 per million.

When was GPT-6.1 Sol released?

On 22 Sep 2026.