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OpenAI: GPT-5.6 Sol

openai/gpt-5.6-sol

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GPT-5.6 Sol is the flagship model in OpenAI's GPT-5.6 series. It is suited for complex reasoning, coding, and agentic workflows, and is particularly strong at command-line and multi-step coding tasks and long-horizon problem solving.

Modalities
In / Out Price
50% off
$2 / $10per 1M
Context
1.1M
Released
Jul 9, 2026
Knowledge Cutoff
Feb 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-5.6 Sol (Artificial Analysis)
SourceBenchmarkScore
Artificial AnalysisGPT-5.6 Sol (low) Intelligence Index33.5
Artificial AnalysisGPT-5.6 Sol (low) Coding Index69.7
Artificial AnalysisGPT-5.6 Sol (low) Agentic Index31.6
Artificial AnalysisGPT-5.6 Sol (low) GPQA Diamond89.8%
Artificial AnalysisGPT-5.6 Sol (low) HLE39.4%
Artificial AnalysisGPT-5.6 Sol (low) IFBench66.5%
Artificial AnalysisGPT-5.6 Sol (low) τ²-Bench Telecom76.0%
Artificial AnalysisGPT-5.6 Sol (low) AA-LCR78.0%
Artificial AnalysisGPT-5.6 Sol (low) GDPval-AA39.5%
Artificial AnalysisGPT-5.6 Sol (low) CritPt14.9%
Artificial AnalysisGPT-5.6 Sol (low) SciCode56.4%
Artificial AnalysisGPT-5.6 Sol (low) Terminal-Bench Hard60.6%
Artificial AnalysisGPT-5.6 Sol (low) AA-Omniscience Accuracy57.2%
Artificial AnalysisGPT-5.6 Sol (low) AA-Omniscience Non-Hallucination Rate10.6%
Artificial AnalysisGPT-5.6 Sol (max) Intelligence Index47.0
Artificial AnalysisGPT-5.6 Sol (max) Coding Index77.4
Artificial AnalysisGPT-5.6 Sol (max) Agentic Index50.2
Artificial AnalysisGPT-5.6 Sol (max) GPQA Diamond94.1%
Artificial AnalysisGPT-5.6 Sol (max) HLE49.5%
Artificial AnalysisGPT-5.6 Sol (max) IFBench72.7%
Artificial AnalysisGPT-5.6 Sol (max) τ²-Bench Telecom85.1%
Artificial AnalysisGPT-5.6 Sol (max) AA-LCR84.0%
Artificial AnalysisGPT-5.6 Sol (max) GDPval-AA54.4%
Artificial AnalysisGPT-5.6 Sol (max) CritPt32.3%
Artificial AnalysisGPT-5.6 Sol (max) SciCode57.1%
Artificial AnalysisGPT-5.6 Sol (max) Terminal-Bench Hard65.9%
Artificial AnalysisGPT-5.6 Sol (max) AA-Omniscience Accuracy59.4%
Artificial AnalysisGPT-5.6 Sol (max) AA-Omniscience Non-Hallucination Rate7.8%
Artificial AnalysisGPT-5.6 Sol (high) Intelligence Index42.3
Artificial AnalysisGPT-5.6 Sol (high) Coding Index77.2
Artificial AnalysisGPT-5.6 Sol (high) Agentic Index44.2
Artificial AnalysisGPT-5.6 Sol (high) GPQA Diamond92.8%
Artificial AnalysisGPT-5.6 Sol (high) HLE46.0%
Artificial AnalysisGPT-5.6 Sol (high) IFBench69.2%
Artificial AnalysisGPT-5.6 Sol (high) τ²-Bench Telecom83.3%
Artificial AnalysisGPT-5.6 Sol (high) AA-LCR81.7%
Artificial AnalysisGPT-5.6 Sol (high) GDPval-AA49.0%
Artificial AnalysisGPT-5.6 Sol (high) CritPt25.7%
Artificial AnalysisGPT-5.6 Sol (high) SciCode57.8%
Artificial AnalysisGPT-5.6 Sol (high) Terminal-Bench Hard62.1%
Artificial AnalysisGPT-5.6 Sol (high) AA-Omniscience Accuracy58.4%
Artificial AnalysisGPT-5.6 Sol (high) AA-Omniscience Non-Hallucination Rate8.8%
Artificial AnalysisGPT-5.6 Sol (medium) Intelligence Index39.2
Artificial AnalysisGPT-5.6 Sol (medium) Coding Index76.3
Artificial AnalysisGPT-5.6 Sol (medium) Agentic Index39.7
Artificial AnalysisGPT-5.6 Sol (medium) GPQA Diamond92.6%
Artificial AnalysisGPT-5.6 Sol (medium) HLE42.2%
Artificial AnalysisGPT-5.6 Sol (medium) IFBench69.6%
Artificial AnalysisGPT-5.6 Sol (medium) τ²-Bench Telecom81.0%
Artificial AnalysisGPT-5.6 Sol (medium) AA-LCR80.3%
Artificial AnalysisGPT-5.6 Sol (medium) GDPval-AA45.1%
Artificial AnalysisGPT-5.6 Sol (medium) CritPt22.9%
Artificial AnalysisGPT-5.6 Sol (medium) SciCode57.4%
Artificial AnalysisGPT-5.6 Sol (medium) Terminal-Bench Hard62.9%
Artificial AnalysisGPT-5.6 Sol (medium) AA-Omniscience Accuracy57.8%
Artificial AnalysisGPT-5.6 Sol (medium) AA-Omniscience Non-Hallucination Rate9.2%
Artificial AnalysisGPT-5.6 Sol (xhigh) Intelligence Index44.0
Artificial AnalysisGPT-5.6 Sol (xhigh) Coding Index78.3
Artificial AnalysisGPT-5.6 Sol (xhigh) Agentic Index47.4
Artificial AnalysisGPT-5.6 Sol (xhigh) GPQA Diamond93.1%
Artificial AnalysisGPT-5.6 Sol (xhigh) HLE47.3%
Artificial AnalysisGPT-5.6 Sol (xhigh) IFBench71.0%
Artificial AnalysisGPT-5.6 Sol (xhigh) τ²-Bench Telecom84.8%
Artificial AnalysisGPT-5.6 Sol (xhigh) AA-LCR82.3%
Artificial AnalysisGPT-5.6 Sol (xhigh) GDPval-AA52.4%
Artificial AnalysisGPT-5.6 Sol (xhigh) CritPt28.6%
Artificial AnalysisGPT-5.6 Sol (xhigh) SciCode57.1%
Artificial AnalysisGPT-5.6 Sol (xhigh) Terminal-Bench Hard61.4%
Artificial AnalysisGPT-5.6 Sol (xhigh) AA-Omniscience Accuracy58.8%
Artificial AnalysisGPT-5.6 Sol (xhigh) AA-Omniscience Non-Hallucination Rate8.1%
Artificial AnalysisGPT-5.6 Sol (Non-reasoning) Coding Index65.1
Artificial AnalysisGPT-5.6 Sol (Non-reasoning) Agentic Index28.1
Artificial AnalysisGPT-5.6 Sol (Non-reasoning) GPQA Diamond79.0%
Artificial AnalysisGPT-5.6 Sol (Non-reasoning) HLE16.7%
Artificial AnalysisGPT-5.6 Sol (Non-reasoning) AA-LCR62.3%
Artificial AnalysisGPT-5.6 Sol (Non-reasoning) GDPval-AA36.3%
Artificial AnalysisGPT-5.6 Sol (Non-reasoning) CritPt5.1%
Artificial AnalysisGPT-5.6 Sol (Non-reasoning) SciCode47.7%
Artificial AnalysisGPT-5.6 Sol (Non-reasoning) AA-Omniscience Accuracy48.7%
Artificial AnalysisGPT-5.6 Sol (Non-reasoning) AA-Omniscience Non-Hallucination Rate7.2%

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-5.6 Sol on OpenRouter.

  • GPT-5.6 Migration GuideCookbook

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Latency
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P50, best provider

AutoExacto benchmarks
GPQA DiamondTAU-Benchauto-routing92.4%76.0%Azure (US)92.8%74.3%Amazon Bedrock91.9%72.0%Azure93.1%70.7%OpenAI91.6%71.3%Azure (EU)92.1%69.3%
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.
98.92%

Availability over the last 3 days

Last 72 hours
Availability 98.92%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
98.58%
Without Routing
97.47%

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-5.6 Sol is the flagship model in OpenAI's GPT-5.6 series. It is suited for complex reasoning, coding, and agentic workflows, and is particularly strong at command-line and multi-step coding tasks and long-horizon problem solving.

The GPT-5.6 Sol documentation on OpenRouter includes the GPT-5.6 Migration Guide cookbook. The quickstart covers API keys and your first request, and the API reference lists every parameter.

GPT-5.6 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-5.6 Sol has a 1,050,000 token context window. It supports up to 128,000 completion tokens.

Yes. GPT-5.6 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-5.6 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-5.6 Sol accepts files such as PDFs, images, and text as input and returns text.

GPT-5.6 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-5.6 Sol was released on July 9, 2026. Its knowledge cutoff is February 16, 2026.

More models from OpenAI

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 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$1 / $5
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.

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.

Text1.1M context$1 / $5
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

Text1.1M context$0.10 / $0.50
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

Text1.1M context$0.05 / $0.25
GPT-6 Luna

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.

Text1.1M context$0.10 / $0.50
GPT-6 Luna

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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GPT-6 Sol Pro

GPT-6 Sol Pro is the same underlying model as GPT-6 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 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

Text1.1M context$2 / $10
GPT-6 Sol Pro

GPT-6 Sol Pro is the same underlying model as GPT-6 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 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

Text1.1M context$1 / $5
GPT-6 Sol

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.

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