Models › Text › GPT-5.6 Sol
OpenAI · Model details, evidence, and API facts
GPT-5.6 Sol is the flagship model in OpenAI’s GPT-5.6 series.
Starting provider API rate; context tiers apply
A concise catalog overview. Technical limits and published evaluation evidence are listed separately below.
GPT-5.6 Sol is the flagship model in OpenAI’s GPT-5.6 series.
Only results mapped to this exact model and backed by a named source appear here. Different evaluation protocols are not treated as interchangeable.
| Benchmark | Score | Evaluation details | Source |
|---|---|---|---|
AutomationBench-AA A 657-task benchmark of multi-step work across simulated SaaS applications in six business domains. |
51.2% Guardrail-aware score |
Version: AutomationBench-AA 2026 · Split: 657 tasks across Finance, HR, Marketing, Operations, Sales, and Support · Harness: Artificial Analysis independent implementation · Attempts: One evaluated run per task · Evaluator: Programmatic end-state grader with guardrail checks · Reasoning effort: max | Methodology Artificial Analysis Independently reproduced |
DeepSWE 1.1 A long-horizon software-engineering benchmark with 113 original tasks graded by hand-written tests. |
73.0%±3 Pass@1 |
Version: DeepSWE 1.1 · Split: 113 tasks across 91 repositories · Harness: mini-swe-agent · Reasoning effort: max · Confidence interval: ±3 | Methodology DataCurve Benchmark owner |
GPQA Diamond The highest-quality subset of Graduate-Level Google-Proof Q&A, designed to test expert-level scientific reasoning in biology, physics, and chemistry. |
94.1% Accuracy |
Version: GPQA Diamond 198 · Split: 198 Diamond questions · Harness: Artificial Analysis independent evaluation · Reasoning effort: max | Methodology Artificial Analysis Independently reproduced |
Humanity's Last Exam A 2,500-question expert-level benchmark spanning dozens of academic fields. Tool-assisted and no-tools results are separate protocols. |
49.5% Accuracy |
Version: May 2025 text-only revision · Split: 2,158 text-only questions · Attempts: pass@1 · Tools: No browser or retrieval tools · Evaluator: LLM equality checker · Reasoning effort: max | Methodology Artificial Analysis Independently reproduced |
LiveBench A contamination-resistant benchmark refreshed on a fixed release cadence. Scores from different LiveBench releases must never be compared as the same protocol. |
81.0% Mean of category averages |
Version: LiveBench 2026-06-25 · Split: 2026-06-25 release, 23 tasks across seven categories · Reasoning effort: max | Methodology LiveBench Benchmark owner |
Arena scores come from blind human preference votes. They are reported separately from task benchmarks and are not used as substitutes for missing benchmark results.
No exact Arena match is available for this model. Similar names and provider variants are not merged automatically.
Technical limits and reference provider prices come from the current catalog unless a reviewed external source is listed. Missing values stay marked as unavailable.
| Model | |
| Provider | OpenAI |
| Release date | Not available in reviewed sources |
| Catalog added | Jul 9, 2026 |
| Context window | 1,050,000 tokens |
| Maximum output | 128,000 tokens |
| Knowledge cutoff | 2026-02-16 |
| License | Not available in reviewed sources |
| Capabilities and API | |
| Input types | File, Image, Text |
| Output types | Text |
| Reasoning | Supported |
| Provider endpoint tool parameters | Accepts tool parameters |
| Base provider API input | $2.00 / 1M tokens |
| Base provider cached input | $0.20 / 1M tokens |
| Base provider API output | $10 / 1M tokens |
| Provider tier at ≥ 272,000 prompt tokens | Input $4.00 / 1M · Output $15 / 1M · Cached input $0.40 / 1M |
Provider token rates are context-dependent. The base rates apply below the listed prompt thresholds; the matching tier applies at or above each threshold. These are reference provider API rates, not Pyxa AI checkout charges — access in Pyxa AI follows the allowances of your Pyxa AI plan.
Source links are attached to the facts and evaluations they support. Catalog-only values are not presented as independently verified claims.
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