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Favicon for openai

OpenAI: GPT-6 Sol

openai/gpt-6-sol

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GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional work, agentic coding, business workflow automation, and computer use, and is particularly strong at long-horizon software engineering tasks in real codebases. It approaches Astra-level factual reliability at a much lower cost and shares Astra's clearer, more concise communication style in technical and coding conversations.

Modalities
In / Out Price
$2 / $10per 1M
Context
1.1M
Released
Sep 22, 2026
Compare
ProvidersPricingPerformanceUptimeBenchmarksAppsActivityDocumentationFAQExplore

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), Floor (cheapest), or Exacto (highest tool-calling accuracy).

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for OpenAI: GPT-6 Sol (Artificial Analysis and Vals AI)
SourceBenchmarkScore
Artificial AnalysisGPT-6 Sol (Max) Intelligence Index47.6
Artificial AnalysisGPT-6 Sol (Max) HLE47.9%
Artificial AnalysisGPT-6 Sol (Max) AA-LCR83.7%
Artificial AnalysisGPT-6 Sol (Max) GDPval-AA50.4%
Artificial AnalysisGPT-6 Sol (Max) CritPt30.9%
Artificial AnalysisGPT-6 Sol (Max) SciCode57.6%
Artificial AnalysisGPT-6 Sol (Max) Terminal-Bench 4.043.9%
Artificial AnalysisGPT-6 Sol (Max) AA-Omniscience Accuracy54.5%
Artificial AnalysisGPT-6 Sol (Max) AA-Omniscience Non-Hallucination Rate39.9%
Artificial AnalysisGPT-6 Sol (Low) Intelligence Index34.2
Artificial AnalysisGPT-6 Sol (Low) HLE34.9%
Artificial AnalysisGPT-6 Sol (Low) AA-LCR79.3%
Artificial AnalysisGPT-6 Sol (Low) GDPval-AA35.2%
Artificial AnalysisGPT-6 Sol (Low) CritPt16.3%
Artificial AnalysisGPT-6 Sol (Low) SciCode50.2%
Artificial AnalysisGPT-6 Sol (Low) Terminal-Bench 4.09.1%
Artificial AnalysisGPT-6 Sol (Low) AA-Omniscience Accuracy51.2%
Artificial AnalysisGPT-6 Sol (Low) AA-Omniscience Non-Hallucination Rate49.3%
Artificial AnalysisGPT-6 Sol (High) Intelligence Index42.4
Artificial AnalysisGPT-6 Sol (High) HLE44.1%
Artificial AnalysisGPT-6 Sol (High) AA-LCR83.7%
Artificial AnalysisGPT-6 Sol (High) GDPval-AA44.8%
Artificial AnalysisGPT-6 Sol (High) CritPt25.4%
Artificial AnalysisGPT-6 Sol (High) SciCode54.9%
Artificial AnalysisGPT-6 Sol (High) Terminal-Bench 4.026.3%
Artificial AnalysisGPT-6 Sol (High) AA-Omniscience Accuracy53.7%
Artificial AnalysisGPT-6 Sol (High) AA-Omniscience Non-Hallucination Rate41.9%
Artificial AnalysisGPT-6 Sol (Xhigh) Intelligence Index44.2
Artificial AnalysisGPT-6 Sol (Xhigh) HLE46.3%
Artificial AnalysisGPT-6 Sol (Xhigh) AA-LCR81.3%
Artificial AnalysisGPT-6 Sol (Xhigh) GDPval-AA47.9%
Artificial AnalysisGPT-6 Sol (Xhigh) CritPt28.0%
Artificial AnalysisGPT-6 Sol (Xhigh) SciCode55.1%
Artificial AnalysisGPT-6 Sol (Xhigh) Terminal-Bench 4.030.3%
Artificial AnalysisGPT-6 Sol (Xhigh) AA-Omniscience Accuracy53.8%
Artificial AnalysisGPT-6 Sol (Xhigh) AA-Omniscience Non-Hallucination Rate41.1%
Artificial AnalysisGPT-6 Sol (Medium) Intelligence Index39.8
Artificial AnalysisGPT-6 Sol (Medium) HLE41.0%
Artificial AnalysisGPT-6 Sol (Medium) AA-LCR82.3%
Artificial AnalysisGPT-6 Sol (Medium) GDPval-AA42.5%
Artificial AnalysisGPT-6 Sol (Medium) CritPt24.6%
Artificial AnalysisGPT-6 Sol (Medium) SciCode53.8%
Artificial AnalysisGPT-6 Sol (Medium) Terminal-Bench 4.018.7%
Artificial AnalysisGPT-6 Sol (Medium) AA-Omniscience Accuracy53.4%
Artificial AnalysisGPT-6 Sol (Medium) AA-Omniscience Non-Hallucination Rate43.2%
Artificial AnalysisGPT-6 Sol (Non-reasoning) Intelligence Index28.5
Artificial AnalysisGPT-6 Sol (Non-reasoning) HLE18.4%
Artificial AnalysisGPT-6 Sol (Non-reasoning) AA-LCR64.0%
Artificial AnalysisGPT-6 Sol (Non-reasoning) GDPval-AA37.6%
Artificial AnalysisGPT-6 Sol (Non-reasoning) CritPt4.0%
Artificial AnalysisGPT-6 Sol (Non-reasoning) SciCode47.3%
Artificial AnalysisGPT-6 Sol (Non-reasoning) Terminal-Bench 4.013.1%
Artificial AnalysisGPT-6 Sol (Non-reasoning) AA-Omniscience Accuracy45.2%
Artificial AnalysisGPT-6 Sol (Non-reasoning) AA-Omniscience Non-Hallucination Rate16.0%
Vals AIGPT-6 Sol Code Migration57.2%
Vals AIGPT-6 Sol CyberBench v1.178.0%
Vals AIGPT-6 Sol EMB71.5%
Vals AIGPT-6 Sol Finance Agent (v2)49.0%
Vals AIGPT-6 Sol Harvey's Legal Agent Benchmark1.7%
Vals AIGPT-6 Sol IOI82.6%
Vals AIGPT-6 Sol Legal Research Bench28.8%
Vals AIGPT-6 Sol MedCode47.1%
Vals AIGPT-6 Sol MedScribe82.0%
Vals AIGPT-6 Sol ProgramBench2.0%
Vals AIGPT-6 Sol ProofBench v1.183.0%
Vals AIGPT-6 Sol Vals RSI Index28.1%
Vals AIGPT-6 Sol SAGE44.8%
Vals AIGPT-6 Sol SRE Bench30.5%
Vals AIGPT-6 Sol Tax Agent Bench53.0%
Vals AIGPT-6 Sol Terminal-Bench 4.044.4%
Vals AIGPT-6 Sol Vals Index57.5%
Vals AIGPT-6 Sol Vibe Code Bench v1.187.8%

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

API

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

Documentation

Guides, cookbooks, and tools for building with OpenAI: GPT-6 Sol on OpenRouter.

  • GPT-6 Migration GuideCookbook

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Throughput
71tok/s

P50, best across providers

Latency
2.46s

P50, best provider

AutoExacto benchmarks
GPQA DiamondTAU-BenchOpenAI92.1%70.4%Azure92.2%69.3%auto-routing91.9%69.3%Amazon Bedrock91.9%69.4%Azure (US)92.4%67.2%Azure (EU)92.5%65.5%
Uptime (3d)The model was reachable. Request routed to a provider.
100.00%
Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
99.86%

Availability over the last 3 days

Last 72 hours
Availability 99.86%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.86%
Without Routing
95.10%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.

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Frequently asked questions

GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional work, agentic coding, business workflow automation, and computer use, and is particularly strong at long-horizon software engineering tasks in real codebases.

The GPT-6 Sol documentation on OpenRouter includes the GPT-6 Migration Guide cookbook. The quickstart covers API keys and your first request, and the API reference lists every parameter.

GPT-6 Sol costs $2.00/M input tokens and $10.00/M output tokens, with separate rates for Cache Read at $0.20/M tokens, Cache Write at $2.50/M tokens, and Web Search at $10.00/1K calls.

GPT-6 Sol has a 1,050,000 token context window. It supports up to 128,000 completion tokens.

Yes. GPT-6 Sol accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

Yes. OpenAI caches prompts of 1024 tokens or more automatically, and GPT-6 Sol bills a cache write on each cached prompt whether or not the cached prefix is read again. To turn caching off for a request, set prompt_cache_options.mode to "explicit" at the request root and do not mark any content block with prompt_cache_breakpoint. Explicit mode disables OpenAI-managed breakpoints, so a request with none of your own has no cacheable prefix and is billed at the plain input rate. See the prompt caching guide.

GPT-6 Sol accepts files such as PDFs, images, and text as input and returns text.

GPT-6 Sol is served by 3 providers on OpenRouter: OpenAI, Azure, and Amazon Bedrock. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.

GPT-6 Sol was released on September 22, 2026.

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GPT-6 Luna Decisions is GPT-6 Luna served through OpenAI's Decisions API. Instead of generating text, it reads the content passed as state (text, JSON, or images) and returns typed, probabilistic answers to named questions in a single request: the probability of yes for a yes/no question (noul), a probability for every option plus the most likely one (choice), or a probability for every level of an ordered rubric plus the expected score (score).

It is built for classification, routing, moderation, and rubric grading where application code thresholds the returned numbers rather than parsing a chat reply. A request can carry up to 200 questions about the same content.

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GPT-6.1 Sol Pro

GPT-6.1 Sol Pro is the same underlying model as GPT-6.1 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

Text1.1M context$2 / $10
GPT-6.1 Sol

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional work, and multi-step business workflow automation, and approaches Astra-level results on these tasks at a much lower cost. Compared with GPT-6 Sol, it makes fewer factual errors and is more reliable at respecting explicit restrictions and user intent during agentic tasks.

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GPT-6 Luna Pro

GPT-6 Luna Pro is the same underlying model as GPT-6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Luna and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Luna instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

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Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

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GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks, and at higher reasoning effort it can take on complex software engineering and computer-use tasks that previously called for a Sol-tier model. It shares the GPT-6 family's gains in factual reliability and its clearer, more concise communication style.

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Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

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Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

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Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

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