BlogLLM Benchmark Scores as Published, Side by Side
GPT-6.1 Terra: Benchmark Scores as Published
Every result the catalog holds for GPT-6.1 Terra: 63 tests in 7 areas, from 5 pages. All were printed by OpenAI itself. Each number is as printed; nothing is ranked or rescored.
Developer OpenAIReleased 2026-10-26Context window 1.05MMax output 128KInput Text, imageOutput TextWeights ClosedData version 2026103001, as of 2026-10-30
Agentic Coding
| Test | Value | Printed by | Setup as printed |
|---|---|---|---|
| Terminal-Bench 4.0 | 50.3% | OpenAI, GPT-6.1 Terrachecked 2026-10-26 | - |
ML Engineering
| Test | Value | Printed by | Setup as printed |
|---|---|---|---|
| Internal Research Debugging Evaluation | 76.39% | OpenAI, GPT-6.1 Terra system card addendumchecked 2026-10-26 | - |
| KernelGen 1P | 45.34% | OpenAI, GPT-6.1 Terra system card addendumchecked 2026-10-26 | - |
Cybersecurity
| Test | Value | Printed by | Setup as printed |
|---|---|---|---|
| ExploitBench | 97.1% | OpenAI, GPT-6.1 Terra system card addendumchecked 2026-10-26 | - |
| SEC-Bench Pro | 83.33% | OpenAI, GPT-6.1 Terra system card addendumchecked 2026-10-26; printed on 1 more page | - |
| Production Chat | 0.98 | OpenAI, GPT-6.1 Terra system card addendumchecked 2026-10-26 | - |
| Synthetic Agentic Envs | 1 | OpenAI, GPT-6.1 Terra system card addendumchecked 2026-10-26 | - |
| Semi-Synthetic Agentic Envs | 0.973 | OpenAI, GPT-6.1 Terra system card addendumchecked 2026-10-26 | - |
| ExploitBench (June-Aug 2026) | 24.5% | OpenAI, GPT-6.1 Terra system card addendumchecked 2026-10-26 | - |
General Knowledge and Reasoning
| Test | Value | Printed by | Setup as printed |
|---|---|---|---|
| Internal factuality evaluation (answers with at least one factual error)lower is better | 4.3% | OpenAI, GPT-6.1 Terrachecked 2026-10-26 | Model setup as reported: Maximum reasoning effort |
| 16.7% | OpenAI, GPT-6.1 Terrachecked 2026-10-26 | Model setup as reported: Low reasoning effort |
Healthcare
Biosecurity
| Test | Value | Printed by | Setup as printed |
|---|---|---|---|
| Dual Use Safe | 0.96 | OpenAI, GPT-6.1 Terra system card addendumchecked 2026-10-26 | - |
| Severe Safe | 0.99 | OpenAI, GPT-6.1 Terra system card addendumchecked 2026-10-26 | - |
| Benign Not overrefuse | 0.982 | OpenAI, GPT-6.1 Terra system card addendumchecked 2026-10-26 | - |
| Coronavirus-ACE2 composite | 0.4741 | OpenAI, GPT-6.1 Terra system card addendumchecked 2026-10-26 | - |
| Multimodal Troubleshooting Virology | 52.54% | OpenAI, GPT-6.1 Terra system card addendumchecked 2026-10-26 | - |
| Phage-plasmid co-evolution (negative log-likelihood)lower is better | 10.8229 | OpenAI, GPT-6.1 Terra system card addendumchecked 2026-10-26 | - |
| SHP2 mean R2 | 0.3696 | OpenAI, GPT-6.1 Terra system card addendumchecked 2026-10-26 | - |
| AAV Capsid Packaging (Spearman) | 0.5285 | OpenAI, GPT-6.1 Terra system card addendumchecked 2026-10-26 | - |
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 | $1 | OpenAI, OpenAI API pricingchecked 2026-10-26 | Context: up to 272,000 tokens; Long context: $2 per 1M tokens above 272,000 tokens |
| Cached input | $0.05 | OpenAI, OpenAI API pricingchecked 2026-10-26 | Context: up to 272,000 tokens; Long context: $0.1 per 1M tokens above 272,000 tokens |
| Cache write | $1.25 | OpenAI, OpenAI API pricingchecked 2026-10-26 | Context: up to 272,000 tokens; Long context: $2.5 per 1M tokens above 272,000 tokens |
| Output | $5 | OpenAI, OpenAI API pricingchecked 2026-10-26 | Context: up to 272,000 tokens; Long context: $7.5 per 1M tokens above 272,000 tokens |
| Input, batch | $0.5 | OpenAI, OpenAI API pricingchecked 2026-10-26 | Context: up to 272,000 tokens; Long context: $1 per 1M tokens above 272,000 tokens |
| Cached input, batch | $0.025 | OpenAI, OpenAI API pricingchecked 2026-10-26 | Context: up to 272,000 tokens; Long context: $0.05 per 1M tokens above 272,000 tokens |
| Cache write, batch | $0.625 | OpenAI, OpenAI API pricingchecked 2026-10-26 | Context: up to 272,000 tokens; Long context: $1.25 per 1M tokens above 272,000 tokens |
| Output, batch | $2.5 | OpenAI, OpenAI API pricingchecked 2026-10-26 | Context: up to 272,000 tokens; Long context: $3.75 per 1M tokens above 272,000 tokens |
| Input, flex | $0.5 | OpenAI, OpenAI API pricingchecked 2026-10-26 | Context: up to 272,000 tokens; Long context: $1 per 1M tokens above 272,000 tokens |
| Cached input, flex | $0.025 | OpenAI, OpenAI API pricingchecked 2026-10-26 | Context: up to 272,000 tokens; Long context: $0.05 per 1M tokens above 272,000 tokens |
| Cache write, flex | $0.625 | OpenAI, OpenAI API pricingchecked 2026-10-26 | Context: up to 272,000 tokens; Long context: $1.25 per 1M tokens above 272,000 tokens |
| Output, flex | $2.5 | OpenAI, OpenAI API pricingchecked 2026-10-26 | Context: up to 272,000 tokens; Long context: $3.75 per 1M tokens above 272,000 tokens |
| Input, fast | $2 | OpenAI, OpenAI API pricingchecked 2026-10-26 | Context: up to 272,000 tokens; Long context: $4 per 1M tokens above 272,000 tokens |
| Cached input, fast | $0.1 | OpenAI, OpenAI API pricingchecked 2026-10-26 | Context: up to 272,000 tokens; Long context: $0.2 per 1M tokens above 272,000 tokens |
| Cache write, fast | $2.5 | OpenAI, OpenAI API pricingchecked 2026-10-26 | Context: up to 272,000 tokens; Long context: $5 per 1M tokens above 272,000 tokens |
| Output, fast | $10 | OpenAI, OpenAI API pricingchecked 2026-10-26 | Context: up to 272,000 tokens; Long context: $15 per 1M tokens above 272,000 tokens |
| Cost per taskVals AI, USD, lower is better | $6 | Vals AI, Vibe Code Bench v1.1 leaderboardchecked 2026-10-27 | Harness: OpenHands |
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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.