BlogLLM Benchmark Scores as Published, Side by Side
GPT-6 Sol: Benchmark Scores as Published
Every result the catalog holds for GPT-6 Sol: 90 tests in 12 areas, from 11 pages. 83 printed by OpenAI itself, the rest by the company named beside each number. Each number is as printed; nothing is ranked or rescored.
Developer OpenAIReleased 2026-09-22Context window 1.05MMax output 128KInput Text, imageOutput TextWeights ClosedData version 2026103001, as of 2026-10-30
Knowledge Work
| Test | Value | Printed by | Setup as printed |
|---|---|---|---|
| AutomationBench | 33.2% | OpenAI, Introducing GPT-6 Sol and GPT-6 Lunachecked 2026-10-19; printed on 1 more page | Effort: xhigh |
| GDPval-AA v2.1 | 1487 | Anthropic, Claude Sonnet 5.5checked 2026-10-14; printed on 1 more page | - |
| AA-Briefcase v1.1 | 1483 | Anthropic, Claude Sonnet 5.5checked 2026-10-14; printed on 1 more page | - |
| AutomationBench (cost per task)lower is better | $0.27 | OpenAI, Introducing GPT-6 Sol and GPT-6 Lunachecked 2026-10-19 | - |
Agentic Coding
| Test | Value | Printed by | Setup as printed |
|---|---|---|---|
| DeepSWE v1.1 | 68.8% | OpenAI, Introducing GPT-6 Sol and GPT-6 Lunachecked 2026-10-19 | Effort: max |
| FrontierCode v1.1 Main | 49.3% | Anthropic, Claude Sonnet 5.5checked 2026-10-14; printed on 1 more page | - |
| FrontierSWE v2 | 32.2% | Anthropic, Claude Sonnet 5.5 System Cardchecked 2026-10-19 | Effort: max; Harness: Proximal agent harness |
ML Engineering
| Test | Value | Printed by | Setup as printed |
|---|---|---|---|
| Internal Research Debugging Evaluation | 64.2% | OpenAI, GPT-6.1 Sol system card addendumchecked 2026-10-19 | - |
Science and Math
| Test | Value | Printed by | Setup as printed |
|---|---|---|---|
| ProtocolQA (open-ended) | 25.62% | OpenAI, GPT-6 Sol and GPT-6 Luna: October 2026 updatechecked 2026-10-19; printed on 2 more pages | - |
Computer Use
| Test | Value | Printed by | Setup as printed |
|---|---|---|---|
| OSWorld 2.0 offline partial | 60.5% | OpenAI, Introducing GPT-6 Sol and GPT-6 Lunachecked 2026-10-19 | Effort: xhigh |
Multimodal Understanding
| Test | Value | Printed by | Setup as printed |
|---|---|---|---|
| Chartography (no tools) | 53.6% | Anthropic, Claude Sonnet 5.5checked 2026-10-14 | Tools: none |
Cybersecurity
| Test | Value | Printed by | Setup as printed |
|---|---|---|---|
| ExploitBench | 82.62% | OpenAI, GPT-6 Sol and GPT-6 Luna: October 2026 updatechecked 2026-10-19; printed on 1 more page | - |
| ExploitGym | 22.1% | OpenAI, GPT-6.1 Sol system card addendumchecked 2026-10-19 | - |
| SEC-Bench Pro | 68.85% | OpenAI, GPT-6 Sol and GPT-6 Luna: October 2026 updatechecked 2026-10-19; printed on 1 more page | - |
| CWE-bench v1 | 52% | Google, Gemini 4 Carbon: our next frontier modelchecked 2026-10-29 | Harness: Codex |
| Production Chat | 0.973 | OpenAI, GPT-6 Sol and GPT-6 Luna: October 2026 updatechecked 2026-10-19; printed on 2 more pages | - |
| Synthetic Agentic Envs | 0.999 | OpenAI, GPT-6 Sol and GPT-6 Luna: October 2026 updatechecked 2026-10-19; printed on 2 more pages | - |
| Semi-Synthetic Agentic Envs | 0.984 | OpenAI, GPT-6.1 Sol system card addendumchecked 2026-10-19; printed on 1 more page | - |
General Knowledge and Reasoning
| Test | Value | Printed by | Setup as printed |
|---|---|---|---|
| Internal factuality evaluation (answers with at least one factual error)lower is better | 11.4% | OpenAI, GPT-6.1 Solchecked 2026-10-14 | - |
Tool Use and Workflows
| Test | Value | Printed by | Setup as printed |
|---|---|---|---|
| Agents' Last Exam (score) | 56.4% | OpenAI, Introducing GPT-6 Sol and GPT-6 Lunachecked 2026-10-19 | Effort: max |
Healthcare
Biosecurity
Safety and Alignment
Price
API list prices in US dollars per one million tokens, as printed on the developer's pricing page on the day checked. Cost per task is measured by Vals AI.
| Price | Value | Printed by | Setup as printed |
|---|---|---|---|
| Input | $2 | OpenAI, OpenAI API pricingchecked 2026-10-15 | Context: up to 272,000 tokens; Long context: $4 per 1M tokens above 272,000 tokens |
| Cached input | $0.2 | OpenAI, OpenAI API pricingchecked 2026-10-15 | Context: up to 272,000 tokens; Long context: $0.4 per 1M tokens above 272,000 tokens |
| Cache write | $2.5 | OpenAI, OpenAI API pricingchecked 2026-10-15 | Context: up to 272,000 tokens; Long context: $5 per 1M tokens above 272,000 tokens |
| Output | $10 | OpenAI, OpenAI API pricingchecked 2026-10-15 | Context: up to 272,000 tokens; Long context: $15 per 1M tokens above 272,000 tokens |
| Input, batch | $1 | OpenAI, OpenAI API pricingchecked 2026-10-15 | Context: up to 272,000 tokens; Long context: $2 per 1M tokens above 272,000 tokens |
| Cached input, batch | $0.1 | OpenAI, OpenAI API pricingchecked 2026-10-15 | Context: up to 272,000 tokens; Long context: $0.2 per 1M tokens above 272,000 tokens |
| Cache write, batch | $1.25 | OpenAI, OpenAI API pricingchecked 2026-10-15 | Context: up to 272,000 tokens; Long context: $2.5 per 1M tokens above 272,000 tokens |
| Output, batch | $5 | OpenAI, OpenAI API pricingchecked 2026-10-15 | Context: up to 272,000 tokens; Long context: $7.5 per 1M tokens above 272,000 tokens |
| Input, flex | $1 | OpenAI, OpenAI API pricingchecked 2026-10-15 | Context: up to 272,000 tokens; Long context: $2 per 1M tokens above 272,000 tokens |
| Cached input, flex | $0.1 | OpenAI, OpenAI API pricingchecked 2026-10-15 | Context: up to 272,000 tokens; Long context: $0.2 per 1M tokens above 272,000 tokens |
| Cache write, flex | $1.25 | OpenAI, OpenAI API pricingchecked 2026-10-15 | Context: up to 272,000 tokens; Long context: $2.5 per 1M tokens above 272,000 tokens |
| Output, flex | $5 | OpenAI, OpenAI API pricingchecked 2026-10-15 | Context: up to 272,000 tokens; Long context: $7.5 per 1M tokens above 272,000 tokens |
| Input, fast | $4 | OpenAI, OpenAI API pricingchecked 2026-10-15 | Context: up to 272,000 tokens; Long context: $8 per 1M tokens above 272,000 tokens |
| Cached input, fast | $0.4 | OpenAI, OpenAI API pricingchecked 2026-10-15 | Context: up to 272,000 tokens; Long context: $0.8 per 1M tokens above 272,000 tokens |
| Cache write, fast | $5 | OpenAI, OpenAI API pricingchecked 2026-10-15 | Context: up to 272,000 tokens; Long context: $10 per 1M tokens above 272,000 tokens |
| Output, fast | $20 | OpenAI, OpenAI API pricingchecked 2026-10-15 | Context: up to 272,000 tokens; Long context: $30 per 1M tokens above 272,000 tokens |
| Cost per taskVals AI, USD, lower is better | $26.36 | Vals AI, Vibe Code Bench v1.1 leaderboardchecked 2026-10-27 | Harness: OpenHands |
More from OpenAI
- GPT-6.1 Terra
- GPT-6.1 Sol
- GPT-6 Luna
- GPT-6 Astra
- GPT-5.6 Luna
- GPT-5.6 Sol
- GPT-5.6 Terra
- GPT-5.5
- GPT-5.5 Pro
- GPT-5.4 mini
- GPT-5.4 nano
- GPT-5.4
- GPT-5.4 Pro
- GPT-5.3-Codex
- GPT-5.2-Codex
- GPT-5.2
- GPT-5.2 Instant
- GPT-5.2 Pro
- GPT-5.1-Codex-Max
- GPT-5.1
- GPT-5.1 Instant
- GPT-5-Codex
- GPT-5
- GPT-5 mini
- GPT-5 Pro
- gpt-oss-120b
- gpt-oss-20b
- ChatGPT agent
- codex-1
- o3
- OpenAI o4-mini
- GPT-4.1
- GPT-4.5
- Deep research
- o3-mini
- o1
- o1-mini
- GPT-4o
- GPT-5.5 Instant
- gpt-5.6-cyber
Every number here is read from the same catalog file as the benchmark table, data version 2026103001. Where one page printed the model under several setups, each value is listed. The catalog is public in armanobosyan/sugra-llm-benchmarks; a wrong number can be reported from the table, with Report an error under the value, or as an issue in that repository.