GPT-5.6 Terra
- Input price
- $2.00
- Per 1 million tokens (USD)
- Output price
- $12.00
- Per 1 million tokens (USD)
- Effort levels
- 6total
- Default: Med
- Benchmark results
- 16total
- Benchmark types: 10
Model information
- API model ID
- gpt-5.6-terra
- release date
- 2026-07-09
- effort
- None / Low / Med (default) / High / Xhigh / Max
- Effort source
- Based on the model page in OpenAI API documentation (developers.openai.com/api/docs/models/gpt-5.6-terra): "Reasoning.effort supports: none, low, medium (default), high, xhigh, and max." (retrieved 2026-11-13)
- Claude Code
- unavailable
- Codex
- unknown
- Availability notes
- Claude Code's official model list (code.claude.com/docs/en/model-config alias table) contains only Anthropic models, so claudeCode is false (connections via a gateway are not counted as official options).
- Availability source
- https://developers.openai.com/api/docs/pricing
Price (USD per 1 million tokens)
Prices do not vary by effort; token consumption does.
| input | $2.00 |
|---|---|
| output | $12.00 |
| cache read | $0.20 |
| cache write | $2.50 |
Prompts with more than 272K input tokens are priced at 2x input and cache rates and 1.5x output for the full request. Batch/Flex 50%, Fast 2x. Price reduced by 20% on 2026-07-30
| gpt-5.6-terra | $2.00 | $12.00 | $0.20 | $2.50 | $5.00 | $4.00 | $18.00 | $0.40 | $5.00 | $10.00 |Benchmark results
| Benchmark | effort | Score | Source cost (metric) | measured/reported by | source | Conditions and extraction method |
|---|---|---|---|---|---|---|
| HealthBench Professional (length-adjusted score)not stated | not stated | 57.7 | — | OpenAI | GPT-6 Astra System Card (Table 6. HealthBench Evaluations)official · Retrieved 2026-11-12 | Vendor-reported value. Self-reported by OpenAI. effort not stated. length-adjusted scoretranscribed from tableSource excerpt57.7Location Table 6 "HealthBench Evaluations - reported as length-adjusted score", HealthBench Professional row |
| HealthBench Hard (length-adjusted score)not stated | not stated | 32.7 | — | OpenAI | GPT-6 Astra System Card (Table 6. HealthBench Evaluations)official · Retrieved 2026-11-12 | Vendor-reported value. Self-reported by OpenAI. effort not stated. length-adjusted scoretranscribed from tableSource excerpt32.7Location Table 6 "HealthBench Evaluations - reported as length-adjusted score", HealthBench Hard row |
| GPQA DiamondNone | None | 77.3% | — | Epoch AI | Epoch AI, Capabilities & benchmarking (benchmark_data.zip, gpqa_diamond.csv) CC BY 4.0third-party · Retrieved 2026-11-12 | Run by Epoch AI (third-party measurement). Source label "GPT-5.6 Terra (none)". effort is indicated by the suffix _none in Epoch's Model version. Data retrieved 2026-11-12.transcribed from tableSource excerptgpqa_diamond.csv: Model version=gpt-5.6-terra_none, Best score (across scorers)=0.7727272727272727, stderr=0.029857515673386438, Started at=2026-08-07T00:50:06.000ZLocation gpqa_diamond.csv, data row 87 (file line 144), id=F7v3JtKFb27j2YVmsndLM5, Model version=gpt-5.6-terra_none |
| GPQA DiamondLow | Low | 87.4% | — | Epoch AI | Epoch AI, Capabilities & benchmarking (benchmark_data.zip, gpqa_diamond.csv) CC BY 4.0third-party · Retrieved 2026-11-12 | Run by Epoch AI (third-party measurement). Source label "GPT-5.6 Terra (low)". effort is indicated by the suffix _low in Epoch's Model version. Data retrieved 2026-11-12.transcribed from tableSource excerptgpqa_diamond.csv: Model version=gpt-5.6-terra_low, Best score (across scorers)=0.8737373737373737, stderr=0.023664359402880177, Started at=2026-08-07T00:35:04.000ZLocation gpqa_diamond.csv, data row 96 (file line 154), id=JcuoAWhcnngPEZBPmiUyLF, Model version=gpt-5.6-terra_low |
| GPQA DiamondMax | Max | 93.3% | — | Epoch AI | Epoch AI, Capabilities & benchmarking (benchmark_data.zip, gpqa_diamond.csv) CC BY 4.0third-party · Retrieved 2026-11-12 | Run by Epoch AI (third-party measurement). Source label "GPT-5.6 Terra (max)". effort is indicated by the suffix _max in Epoch's Model version. Data retrieved 2026-11-12.transcribed from tableSource excerptgpqa_diamond.csv: Model version=gpt-5.6-terra_max, Best score (across scorers)=0.9330808080808081, stderr=0.015363672147634115, Started at=2026-07-09T17:07:54.000ZLocation gpqa_diamond.csv, data row 168 (file line 238), id=4bLcFNu5zF6YuZf3qVKoHE, Model version=gpt-5.6-terra_max |
| FrontierMath Tiers 1-3(v2)Max | Max | 86.0% | — | Epoch AI | Epoch AI, Capabilities & benchmarking (benchmark_data.zip, frontiermath_tiers_1_3_v2.csv) CC BY 4.0third-party · Retrieved 2026-11-12 | Run by Epoch AI (third-party measurement). Source label "GPT-5.6 Terra (max)". effort is indicated by the suffix _max in Epoch's Model version. Data retrieved 2026-11-12.transcribed from tableSource excerptfrontiermath_tiers_1_3_v2.csv: Model version=gpt-5.6-terra_max, Best score (across scorers)=0.8596491228070176, stderr=0.020611471958164294, Started at=2026-07-09T15:58:30.000ZLocation frontiermath_tiers_1_3_v2.csv, data row 90 (file line 120), id=J6evjTMgHkrun8txnEvzdN, Model version=gpt-5.6-terra_max |
| FrontierMath Tier 4(v2)Max | Max | 70.7% | — | Epoch AI | Epoch AI, Capabilities & benchmarking (benchmark_data.zip, frontiermath_tier_4_v2.csv) CC BY 4.0third-party · Retrieved 2026-11-12 | Run by Epoch AI (third-party measurement). Source label "GPT-5.6 Terra (max)". effort is indicated by the suffix _max in Epoch's Model version. Data retrieved 2026-11-12.transcribed from tableSource excerptfrontiermath_tier_4_v2.csv: Model version=gpt-5.6-terra_max, Best score (across scorers)=0.7073170731707317, stderr=0.07194088392074452, Started at=2026-07-09T15:58:30.000ZLocation frontiermath_tier_4_v2.csv, data row 45 (file line 82), id=ZUygpkXqg3NjchXXfedAWV, Model version=gpt-5.6-terra_max |
| OTIS Mock AIME 2024-2025None | None | 53.3% | — | Epoch AI | Epoch AI, Capabilities & benchmarking (benchmark_data.zip, otis_mock_aime_2024_2025.csv) CC BY 4.0third-party · Retrieved 2026-11-12 | Run by Epoch AI (third-party measurement). Source label "GPT-5.6 Terra (none)". effort is indicated by the suffix _none in Epoch's Model version. Data retrieved 2026-11-12.transcribed from tableSource excerptotis_mock_aime_2024_2025.csv: Model version=gpt-5.6-terra_none, Best score (across scorers)=0.5333333333333333, stderr=0.07521014330903548, Started at=2026-08-07T00:42:38.000ZLocation otis_mock_aime_2024_2025.csv, data row 95 (file line 159), id=cjUVqF2qQJ4qhFKBU5BQpW, Model version=gpt-5.6-terra_none |
| OTIS Mock AIME 2024-2025Low | Low | 88.9% | — | Epoch AI | Epoch AI, Capabilities & benchmarking (benchmark_data.zip, otis_mock_aime_2024_2025.csv) CC BY 4.0third-party · Retrieved 2026-11-12 | Run by Epoch AI (third-party measurement). Source label "GPT-5.6 Terra (low)". effort is indicated by the suffix _low in Epoch's Model version. Data retrieved 2026-11-12.transcribed from tableSource excerptotis_mock_aime_2024_2025.csv: Model version=gpt-5.6-terra_low, Best score (across scorers)=0.8888888888888888, stderr=0.04737793696791343, Started at=2026-08-07T00:20:21.000ZLocation otis_mock_aime_2024_2025.csv, data row 104 (file line 169), id=Z6S3nMC2tnkpKUixCPLiDj, Model version=gpt-5.6-terra_low |
| OTIS Mock AIME 2024-2025Max | Max | 99.7% | — | Epoch AI | Epoch AI, Capabilities & benchmarking (benchmark_data.zip, otis_mock_aime_2024_2025.csv) CC BY 4.0third-party · Retrieved 2026-11-12 | Run by Epoch AI (third-party measurement). Source label "GPT-5.6 Terra (max)". effort is indicated by the suffix _max in Epoch's Model version. Data retrieved 2026-11-12.transcribed from tableSource excerptotis_mock_aime_2024_2025.csv: Model version=gpt-5.6-terra_max, Best score (across scorers)=0.9972222222222222, stderr=0.002777777777777778, Started at=2026-07-09T17:07:54.000ZLocation otis_mock_aime_2024_2025.csv, data row 176 (file line 251), id=jUmmCNezoW7jWiK72SVCaP, Model version=gpt-5.6-terra_max |
| SimpleQA VerifiedMax | Max | 43.2% | — | Epoch AI | Epoch AI, Capabilities & benchmarking (benchmark_data.zip, simpleqa_verified.csv) CC BY 4.0third-party · Retrieved 2026-11-12 | Run by Epoch AI (third-party measurement). Source label "GPT-5.6 Terra (max)". effort is indicated by the suffix _max in Epoch's Model version. Data retrieved 2026-11-12.transcribed from tableSource excerptsimpleqa_verified.csv: Model version=gpt-5.6-terra_max, Best score (across scorers)=0.432, stderr=0.015672320237336324, Started at=2026-08-10T23:44:21.000ZLocation simpleqa_verified.csv, data row 93 (file line 143), id=DienatPbgfgn3EzM7Gvzxr, Model version=gpt-5.6-terra_max |
| Chess Puzzles(Epoch AI)None | None | 5.0% | — | Epoch AI | Epoch AI, Capabilities & benchmarking (benchmark_data.zip, chess_puzzles.csv) CC BY 4.0third-party · Retrieved 2026-11-12 | Run by Epoch AI (third-party measurement). Source label "GPT-5.6 Terra (none)". effort is indicated by the suffix _none in Epoch's Model version. Data retrieved 2026-11-12.transcribed from tableSource excerptchess_puzzles.csv: Model version=gpt-5.6-terra_none, Best score (across scorers)=0.05, stderr=0.02190429135575903, Started at=2026-10-13T13:50:17.000ZLocation chess_puzzles.csv, data row 87 (file line 138), id=HzNnNaRmyNExSVaMjmFCHe, Model version=gpt-5.6-terra_none |
| Chess Puzzles(Epoch AI)Low | Low | 27.0% | — | Epoch AI | Epoch AI, Capabilities & benchmarking (benchmark_data.zip, chess_puzzles.csv) CC BY 4.0third-party · Retrieved 2026-11-12 | Run by Epoch AI (third-party measurement). Source label "GPT-5.6 Terra (low)". effort is indicated by the suffix _low in Epoch's Model version. Data retrieved 2026-11-12.transcribed from tableSource excerptchess_puzzles.csv: Model version=gpt-5.6-terra_low, Best score (across scorers)=0.27, stderr=0.044619604333847374, Started at=2026-10-13T13:51:29.000ZLocation chess_puzzles.csv, data row 86 (file line 137), id=bA5j9K2shzZVFGTMQ5g6EU, Model version=gpt-5.6-terra_low |
| Chess Puzzles(Epoch AI)Max | Max | 47.0% | — | Epoch AI | Epoch AI, Capabilities & benchmarking (benchmark_data.zip, chess_puzzles.csv) CC BY 4.0third-party · Retrieved 2026-11-12 | Run by Epoch AI (third-party measurement). Source label "GPT-5.6 Terra (max)". effort is indicated by the suffix _max in Epoch's Model version. Data retrieved 2026-11-12.transcribed from tableSource excerptchess_puzzles.csv: Model version=gpt-5.6-terra_max, Best score (across scorers)=0.47, stderr=0.05016135580465918, Started at=2026-10-13T13:53:13.000ZLocation chess_puzzles.csv, data row 85 (file line 136), id=J2ZgtxyaQZfyDMPTPxS8nm, Model version=gpt-5.6-terra_max |
| MirrorCodeMax | Max | 41.1% | — | Epoch AI | Epoch AI, Capabilities & benchmarking (benchmark_data.zip, mirrorcode.csv) CC BY 4.0third-party · Retrieved 2026-11-12 | Run by Epoch AI (third-party measurement). Source label "GPT-5.6 Terra (max)". effort is indicated by the suffix _max in Epoch's Model version. Data retrieved 2026-11-12.transcribed from tableSource excerptmirrorcode.csv: Model version=gpt-5.6-terra_max, Best score (across scorers)=0.4111111111111111, stderr=0.12372809695177825, Started at=2026-10-20T20:32:26.000ZLocation mirrorcode.csv, data row 27 (file line 45), id=Vubr2UGkJt5WdCCxePP6bL, Model version=gpt-5.6-terra_max |
| Epoch Capabilities Index(ECI)not stated | not stated | 160.73 | — | Epoch AI | Epoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)third-party · Retrieved 2026-11-12 | A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.transcribed from tableSource excerpteci_scores.csv: Model=GPT-5.6 Terra, eci=160.73, eci_ci_low=158.47, eci_ci_high=163.25Location epoch_capabilities_index/eci_scores.csv, data row 17 (file line 18), Model=GPT-5.6 Terra |
Related rankings
- Overall ranking (all models, records)
- HealthBench Professional (length-adjusted score) ranking by metric (all models, records)
- HealthBench Hard (length-adjusted score) ranking by metric (all models, records)
- GPQA Diamond ranking by metric (all models, records)
- FrontierMath Tiers 1-3(v2) ranking by metric (all models, records)
- FrontierMath Tier 4(v2) ranking by metric (all models, records)
- OTIS Mock AIME 2024-2025 ranking by metric (all models, records)
- SimpleQA Verified ranking by metric (all models, records)
- Chess Puzzles(Epoch AI) ranking by metric (all models, records)
- MirrorCode ranking by metric (all models, records)
- Epoch Capabilities Index(ECI) ranking by metric (all models, records)
- Recommendations by role