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Model details

GPT-5.6 Sol

GPT-5.6 Sol Pro is positioned as a higher-quality serving of the GPT-5.6 Sol base model, distinguished by a "pro" reasoning mode that the provider targets at complex tasks where deeper deliberation pays off. Because it shares the same underlying weights as the standard GPT-5.6 Sol, it inherits that model's general-purpose language capabilities while prioritizing stronger multi-step reasoning responses. The OpenRouter listing frames it as the go-to choice when callers want maximum reasoning depth from the Sol family rather than the default balance of speed and quality.

Practically, the model fits workflows that combine long documents with structured reasoning and tool use: roughly a one-million-token context window lets teams feed substantial codebases, transcripts, or report sets in a single turn, while tool calling and structured output support agents that must return machine-readable results. Compared with the base Sol, the "pro" configuration leans toward more thorough chain-of-thought on hard prompts, which can mean longer latency and higher token spend per answer. Teams selecting between Sol tiers can treat Pro as the quality-first option and route simpler, latency-sensitive queries to the standard Sol variant.

Kilo Gatewayopenai/gpt-5.6-sol-progpt-sol

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Provider
Kilo Gateway
Model key
openai/gpt-5.6-sol-pro
Release date
Jul 9, 2026
Last updated
Jul 9, 2026
Knowledge cutoff
2026-02-16
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$4.00
Output token cost
$20.00

Limits

Input tokens
922,000 tokens
Output tokens
128,000 tokens
Context window
1,050,000 tokens

Transparent token rates

Compare GPT-5.6 Sol pricing

Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about GPT-5.6 Sol

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Coverage

On August 6, 2026, OpenAI published a ChatGPT product update describing post-launch tuning of GPT-5.6 Sol for Plus and Pro users, emphasizing more reliable factual responses, tighter formatting, and answers that adapt their level of detail to the question. The same model now powers both Instant responses and deeper rea The update also expanded GPT-5.6 Luna access for Free-tier users, making it the default model with unlimited text chats and adding a Think button to invoke higher reasoning on harder questions. OpenAI noted that GPT-5.6 Sol is now used by roughly 1 billion people weekly across quick questions, web searches, planning, r

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CoverageBenchmark

LayerLens published a GPT-5.6 benchmark review on July 14, 2026, evaluating the Sol, Terra, and Luna tiers across 12 benchmarks using their Stratix harness. The page explicitly reports GPT-5.6 Sol's performance, including 53.6% on Agents' Last Exam (beating Claude Fable 5 by 13.1 points on long-horizon professional wor The review also documents Sol's 1.05M-token context window retaining 91.5% on MRCR 8-needle recall at 256K-512K, and describes an "Ultra" multi-agent mode available only on Sol that pushes BrowseComp to 92.2% at 4x token cost. Tier-positioning guidance is concrete: Terra for development loops, Sol for production gates,

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CoverageBenchmark

The llm-stats.com tracking page for GPT-5.6 Sol reports a composite LLM Stats Score of 55.0 at a blended price of $6.19 per million tokens. The page tracks performance across conversation depths, showing stable quality with a +0.79σ Quality Tracker reading based on 374 votes. Sol is ranked above Gemma 4 E4B (13.8), GPT Benchmark detail visible in the excerpt includes a perfect 1.00 score on OpenAI's Connectors production benchmark (measuring reliable connector-based tool use in agentic workflows) and 0.97 on internal Capture-the-Flag Challenges at max reasoning effort under OpenAI's Preparedness Framework. Performance metrics are bro

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CoverageBenchmark

CodeRabbit published an engineering review on July 9, 2026, examining where GPT-5.6 Sol and Terra fit in coding-agent stacks and code-review workflows. The post explicitly names both Sol (flagship) and Terra (lower-cost) variants and frames Sol's distinguishing trait as long-horizon follow-through: persistence across f The review reports CodeRabbit harness results showing Sol finds more review issues than prior OpenAI models, while positioning Sol as stronger on practical task completion rather than architectural taste (where Fable 5 is described as still stronger). It notes Sol and Sonnet 5 trade wins across comment quality and revi

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CoveragePreview

OpenAI's official preview post dated June 26, 2026, announces a limited preview of the GPT-5.6 series with three tiers: Sol as the flagship, Terra as a balanced model for everyday work competitive with GPT-5.5 at roughly 2x lower cost, and Luna as the fast and affordable tier. The post explicitly names GPT-5.6 Sol as " The post explains that the limited preview was conducted with a small group of trusted partners whose participation was shared with the U.S. government, and that OpenAI plans broader availability in the coming weeks. It teases upcoming evaluation results covering improved agentic capabilities in coding, biology, and cy

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