OpenAI model product
6 family for coding, knowledge work, cybersecurity, and science.
Updated Sep 8, 2026. Default version: GPT-5.6 Sol
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for GPT-5.6 Sol.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkArtificial Analysis | Score59.00% | Rank01 | Participants8 | Percentile100.00% | EvidenceB | Evaluated |
| BenchmarkBenchCAD | Score70.60% | Rank01 | Participants4 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkBig Finance Bench | Score53.00% | Rank01 | Participants3 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkCapture-the-Flag Challenges (Internal) | Score96.70% | Rank01 | Participants3 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkDeepSWE | Score72.70% | Rank01 | Participants13 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkFrontierMath | Score89.00% | Rank01 | Participants17 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkGraphwalks BFS >128k | Score90.70% | Rank01 | Participants11 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkGraphwalks BFS 1M | Score77.10% | Rank01 | Participants3 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkHealthBench Consensus | Score95.50% | Rank01 | Participants4 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkInternal Research Debugging Evaluation | Score68.30% | Rank01 | Participants3 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkKernelGen 1P | Score61.10% | Rank01 | Participants3 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkManagement Consulting Tasks (Internal) | Score43.20% | Rank01 | Participants3 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkMedChemBench (Internal) | Score48.30% | Rank01 | Participants3 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkMMMU-Pro (with tools) | Score84.60% | Rank01 | Participants4 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkRSI Index | Score57.90% | Rank01 | Participants3 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkLM Arena Agent Tool Hallucination | Score0.78% | Rank01 | Participants49 | Percentile100.00% | EvidenceA | Evaluated |
| BenchmarkLM Arena Search | Score1,257.26 rating | Rank01 | Participants28 | Percentile100.00% | EvidenceA | Evaluated |
| BenchmarkLM Arena Search Factuality | Score1,247.52 rating | Rank01 | Participants28 | Percentile100.00% | EvidenceA | Evaluated |
| BenchmarkLM Arena Search Style Control | Score1,255.76 rating | Rank01 | Participants28 | Percentile100.00% | EvidenceA | Evaluated |
| BenchmarkAgents' Last Exam | Score52.70% | Rank02 | Participants16 | Percentile93.33% | EvidenceC | Evaluated |
| BenchmarkBenchCAD (with Python tool) | Score83.40% | Rank02 | Participants4 | Percentile66.67% | EvidenceC | Evaluated |
| BenchmarkConnectors | Score100.00% | Rank02 | Participants3 | Percentile50.00% | EvidenceC | Evaluated |
| BenchmarkExploitGym | Score33.70% | Rank02 | Participants5 | Percentile75.00% | EvidenceC | Evaluated |
| BenchmarkFrontierMath Tier 4 (v2) | Score83.00% | Rank02 | Participants4 | Percentile66.67% | EvidenceC | Evaluated |
| BenchmarkGeneBench-Pro | Score28.70% | Rank02 | Participants4 | Percentile66.67% | EvidenceC | Evaluated |
| BenchmarkHealthBench Hard | Score33.10% | Rank02 | Participants9 | Percentile87.50% | EvidenceC | Evaluated |
| BenchmarkLifeSciBench | Score59.90% | Rank02 | Participants4 | Percentile66.67% | EvidenceC | Evaluated |
| BenchmarkMRCR v2 (8-needle, 512K-1M) | Score73.80% | Rank02 | Participants4 | Percentile66.67% | EvidenceC | Evaluated |
| BenchmarkNanoGPT | Score9.69% | Rank02 | Participants3 | Percentile50.00% | EvidenceC | Evaluated |
| BenchmarkPostTrainBench Lite | Score50.30% | Rank02 | Participants3 | Percentile50.00% | EvidenceC | Evaluated |
Preference and agent-evaluation results for the default version.
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenaagent tool hallucination | Categoryoverall | Rank01 | Rating / score0.01 | VotesN/A | Observations3M | Result date |
| Arenasearch | Categoryoverall | Rank01 | Rating / score1,257.26 | Votes29,663 | ObservationsN/A | Result date |
| Arenasearch factuality | Categoryoverall | Rank01 | Rating / score1,247.52 | Votes29,663 | ObservationsN/A | Result date |
| Arenasearch style control | Categoryoverall | Rank01 | Rating / score1,255.76 | Votes29,663 | ObservationsN/A | Result date |
| Arenaagent praise complaint | Categoryoverall | Rank02 | Rating / score0.22 | VotesN/A | Observations7.8K | Result date |
| Arenatext style control | Categoryjapanese | Rank02 | Rating / score1,522.47 | Votes347 | ObservationsN/A | Result date |
| Arenaagent | Categoryoverall | Rank04 | Rating / score0.09 | VotesN/A | Observations3.1M | Result date |
| Arenawebdev | Categoryimage to webdev | Rank04 | Rating / score1,606.48 | Votes1,758 | ObservationsN/A | Result date |
| Arenaagent steerability | Categoryoverall | Rank05 | Rating / score0.09 | VotesN/A | Observations26.4K | Result date |
| Arenatext factuality | Categoryexpert | Rank05 | Rating / score1,529.83 | Votes2,152 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryindustry legal and government | Rank05 | Rating / score1,510.44 | Votes1,544 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryinstruction following | Rank05 | Rating / score1,487.32 | Votes8,020 | ObservationsN/A | Result date |
| Arenatext style control | Categorygerman | Rank05 | Rating / score1,500.44 | Votes350 | ObservationsN/A | Result date |
| Arenatext | Categoryjapanese | Rank06 | Rating / score1,495.96 | Votes347 | ObservationsN/A | Result date |
| Arenatext factuality | Categorychinese | Rank06 | Rating / score1,533.34 | Votes1,240 | ObservationsN/A | Result date |
| Arenatext style control | Categoryexpert | Rank06 | Rating / score1,530.53 | Votes2,531 | ObservationsN/A | Result date |
| Arenatext style control | Categoryindustry entertainment and sports and media | Rank06 | Rating / score1,473.89 | Votes5,815 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryfrench | Rank07 | Rating / score1,508.02 | Votes532 | ObservationsN/A | Result date |
| Arenadocument | Categoryoverall | Rank08 | Rating / score1,478.68 | Votes1,152 | ObservationsN/A | Result date |
| Arenadocument style control | Categoryoverall | Rank08 | Rating / score1,481.34 | Votes1,152 | ObservationsN/A | Result date |
| Arenatext style control | Categoryindustry business and management and financial operations | Rank08 | Rating / score1,490.60 | Votes4,562 | ObservationsN/A | Result date |
| Arenatext style control | Categoryindustry writing and literature and language | Rank08 | Rating / score1,484.33 | Votes6,120 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryhard prompts | Rank09 | Rating / score1,505.87 | Votes15,347 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryindustry business and management and financial operations | Rank09 | Rating / score1,484.97 | Votes4,269 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryindustry entertainment and sports and media | Rank09 | Rating / score1,460.37 | Votes5,717 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryindustry mathematical | Rank09 | Rating / score1,486.53 | Votes985 | ObservationsN/A | Result date |
| Arenatext style control | Categorycreative writing | Rank09 | Rating / score1,476.74 | Votes4,670 | ObservationsN/A | Result date |
| Arenatext style control | Categoryfrench | Rank09 | Rating / score1,508.29 | Votes806 | ObservationsN/A | Result date |
| Arenatext style control | Categoryindustry mathematical | Rank09 | Rating / score1,507.72 | Votes1,246 | ObservationsN/A | Result date |
| Arenatext | Categoryexpert | Rank10 | Rating / score1,512.84 | Votes2,531 | ObservationsN/A | Result date |
Official vendor API pricing appears first, followed by individual provider offers.
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| ProviderKenari | Provider model IDgpt-5-6-sol | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context1.1M | Updated |
| ProviderXpersona | Provider model IDgpt-5.6-sol | Regionglobal | Input / 1M$1.5 | Output / 1M$12 | Context372K | Updated |
| ProviderNanoGPT | Provider model IDopenai/gpt-5.6-sol | Regionglobal | Input / 1M$2 | Output / 1M$10 | Context1.1M | Updated |
| ProviderOpenRouter | Provider model IDopenai/gpt-5.6-sol | Regionglobal | Input / 1M$2 | Output / 1M$10 | Context1.1M | Updated |
| ProviderCloudflare AI Gateway | Provider model IDopenai/gpt-5.6-sol | Regionglobal | Input / 1M$2 | Output / 1M$10 | Context1.1M | Updated |
| ProviderOpenCode Zen | Provider model IDgpt-5.6-sol | Regionglobal | Input / 1M$2 | Output / 1M$10 | Context1.1M | Updated |
| ProviderVercel AI Gateway | Provider model IDopenai/gpt-5.6-sol | Regionglobal | Input / 1M$2 | Output / 1M$10 | Context1.1M | Updated |
| Providerrouting.run | Provider model IDgpt-5.6-sol | Regionglobal | Input / 1M$2.5 | Output / 1M$15 | Context1M | Updated |
| ProviderOfox | Provider model IDopenai/gpt-5.6-sol | Regionglobal | Input / 1M$2.5 | Output / 1M$15 | Context1.1M | Updated |
| ProviderVenice AI | Provider model IDopenai-gpt-56-sol | Regionglobal | Input / 1M$2.5 | Output / 1M$12.5 | Context1M | Updated |
| ProviderOrcaRouter | Provider model IDopenai/gpt-5.6-sol | Regionglobal | Input / 1M$4 | Output / 1M$20 | Context1.1M | Updated |
| ProviderCrossModel | Provider model IDopenai/gpt-5.6-sol | Regionglobal | Input / 1M$4 | Output / 1M$20 | Context1.1M | Updated |
| ProviderOpenAI | Provider model IDgpt-5.6-sol | Regionglobal | Input / 1M$4 | Output / 1M$20 | Context1.1M | Updated |
| ProviderRequesty | Provider model IDgpt-5.6-sol | Regionglobal | Input / 1M$4 | Output / 1M$20 | Context1.1M | Updated |
| ProviderAzure | Provider model IDgpt-5.6-sol | Regionglobal | Input / 1M$4 | Output / 1M$20 | Context1.1M | Updated |
| ProviderEden AI | Provider model IDopenai/gpt-5.6-sol | Regionglobal | Input / 1M$4 | Output / 1M$20 | Context1.1M | Updated |
| ProviderGitHub Copilot | Provider model IDgpt-5.6-sol | Regionglobal | Input / 1M$4 | Output / 1M$20 | Context1.1M | Updated |
| ProviderKilo Gateway | Provider model IDopenai/gpt-5.6-sol | Regionglobal | Input / 1M$4 | Output / 1M$20 | Context1.1M | Updated |
| ProviderKilo Gateway | Provider model IDopenai/gpt-5.6-sol-pro | Regionglobal | Input / 1M$4 | Output / 1M$20 | Context1.1M | Updated |
| ProviderAmazon Bedrock | Provider model IDopenai.gpt-5.6-sol | Regionglobal | Input / 1M$4.4 | Output / 1M$22 | Context1.1M | Updated |
| ProviderAI-ROUTER | Provider model IDgpt-5.6-sol | Regionglobal | Input / 1M$5 | Output / 1M$30 | Context1.1M | Updated |
| ProviderImpossibl | Provider model IDopenai/gpt-5.6-sol | Regionglobal | Input / 1M$5 | Output / 1M$30 | Context1.1M | Updated |
| ProviderDatabricks | Provider model IDdatabricks-gpt-5-6-sol | Regionglobal | Input / 1M$5 | Output / 1M$30 | Context1.1M | Updated |
| ProviderOpper | Provider model IDopenai/gpt-5.6-sol | Regionglobal | Input / 1M$5 | Output / 1M$30 | Context1.1M | Updated |
| ProviderLLM Gateway | Provider model IDopenai/gpt-5.6-sol | Regionglobal | Input / 1M$5 | Output / 1M$30 | Context1.1M | Updated |
| ProviderVivgrid | Provider model IDgpt-5.6-sol | Regionglobal | Input / 1M$5 | Output / 1M$30 | Context1.1M | Updated |
| ProviderMerge Gateway | Provider model IDopenai/gpt-5.6-sol | Regionglobal | Input / 1M$5 | Output / 1M$30 | Context1.1M | Updated |
| ProviderZenMux | Provider model IDopenai/gpt-5.6-sol | Regionglobal | Input / 1M$5 | Output / 1M$30 | Context1.1M | Updated |
| ProviderSAP AI Core | Provider model IDgpt-5.6-sol | Regionglobal | Input / 1M$5 | Output / 1M$30 | Context1.1M | Updated |
| ProviderNeon | Provider model IDgpt-5-6-sol | Regionglobal | Input / 1M$5 | Output / 1M$30 | Context1.1M | Updated |
Provider-specific output speed and catalog latency for GPT-5.6 Sol. Runtime does not affect the capability score.
Provider | Output Speed | Catalog Latency | Max Input | Max Output | Updated |
|---|
| ProviderOpenAI | Output Speed2.36 tok/s | Catalog Latency10.43 s | Max Input1.1M | Max Output128K | Updated |
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Technical details for the model's default version.
Available versions of this model. The score column identifies the version used in the overall ranking.
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionGPT-5.6 Sol | Released | LLMBoard90.18 | ParametersN/A | Context1.1M | Max output128K | Open weightsNo | LicenseProprietary |
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Key information about GPT-5.6-Sol and its available data.
6 family, designed for coding, knowledge work, cybersecurity, and science. 6-Sol.
Data as of 2026-09-08.
Common questions about GPT-5.6-Sol.
GPT-5.6-Sol's default version was released on Jul 9, 2026.
GPT-5.6-Sol's official API price is $4 per million input tokens and $20 per million output tokens via OpenAI. The lowest tracked third-party offer starts at $1.5 input and $12 output via Xpersona.
GPT-5.6-Sol was created by OpenAI.
The default version has a 1.1M token context window.
No. The default version is not marked as having publicly available weights.
38 provider offerings are linked to the default version.
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.