GPT-6.1 Terra

OpenAICurrent

Input price
$1.00
Per 1 million tokens (USD)
Output price
$5.00
Per 1 million tokens (USD)
Effort levels
6total
Default: Med
Benchmark results
9total
Benchmark types: 9

Model information

API model ID
gpt-6.1-terra
release date
2026-10-26
effort
None / Low / Med (default) / High / Xhigh / Max
Effort source
Based on reasoning effort on the OpenAI model page (developers.openai.com/api/docs/models/gpt-6.1-terra).
Claude Code
unavailable
Codex
available
Availability notes
Codex desktop app / CLI (0.159.0 or later stated as required; CLI changelog adds it to the catalog in 0.166.0). IDE extension is not stated. 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://learn.chatgpt.com/docs/models

Price (USD per 1 million tokens)

Prices do not vary by effort; token consumption does.

input$1.00
output$5.00
cache read$0.05
cache write$1.25

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.

| gpt-6.1-terra | $1.00 | $5.00 | $0.05 | $1.25 | $2.50 | $2.00 | $7.50 | $0.10 | $2.50 | $5.00 |

Source: https://developers.openai.com/api/docs/pricing

Benchmark results

BenchmarkeffortScoreSource cost (metric)measured/reported bysourceConditions and extraction method
HealthBench Professional (length-adjusted score)not statednot stated62.7—OpenAIAddendum to GPT-6 Astra System Card: GPT-6.1 Terraofficial · Retrieved 2026-11-14Vendor-reported value. Self-reported by OpenAI. effort not stated. length-adjusted score. Parentheses contain the unadjusted score and mean response length in characters; only the leading value is used as score. Cost not stated.transcribed from table
Source excerpt62.7 (64.2, 2531)Location §5.1 Table 5, HealthBench Professional length-adjusted row, gpt-6-1-terra column
HealthBench Hard (length-adjusted score)not statednot stated31.4—OpenAIAddendum to GPT-6 Astra System Card: GPT-6.1 Terraofficial · Retrieved 2026-11-14Vendor-reported value. Self-reported by OpenAI. effort not stated. length-adjusted score. Parentheses contain the unadjusted score and mean response length in characters; only the leading value is used as score. Cost not stated.transcribed from table
Source excerpt31.4 (26.0, 1306)Location §5.1 Table 5, HealthBench Hard length-adjusted row, gpt-6-1-terra column
GPQA DiamondMaxMax94.3%—Epoch AIEpoch AI, Capabilities & benchmarking (benchmark_data.zip, gpqa_diamond.csv) CC BY 4.0third-party · Retrieved 2026-11-12Run by Epoch AI (third-party measurement). Source label "GPT-6.1 Terra (max)". effort is indicated by the suffix _max in Epoch's Model version. Data retrieved 2026-11-12.transcribed from table
Source excerptgpqa_diamond.csv: Model version=gpt-6.1-terra_max, Best score (across scorers)=0.9431818181818182, stderr=0.014911672683567374, Started at=2026-10-26T20:00:37.000Z
FrontierMath Tiers 1-3(v2)MaxMax90.9%—Epoch AIEpoch AI, Capabilities & benchmarking (benchmark_data.zip, frontiermath_tiers_1_3_v2.csv) CC BY 4.0third-party · Retrieved 2026-11-12Run by Epoch AI (third-party measurement). Source label "GPT-6.1 Terra (max)". effort is indicated by the suffix _max in Epoch's Model version. Data retrieved 2026-11-12.transcribed from table
Source excerptfrontiermath_tiers_1_3_v2.csv: Model version=gpt-6.1-terra_max, Best score (across scorers)=0.9087719298245615, stderr=0.017085690144166794, Started at=2026-10-26T20:00:37.000Z
FrontierMath Tier 4(v2)MaxMax92.7%—Epoch AIEpoch AI, Capabilities & benchmarking (benchmark_data.zip, frontiermath_tier_4_v2.csv) CC BY 4.0third-party · Retrieved 2026-11-12Run by Epoch AI (third-party measurement). Source label "GPT-6.1 Terra (max)". effort is indicated by the suffix _max in Epoch's Model version. Data retrieved 2026-11-12.transcribed from table
Source excerptfrontiermath_tier_4_v2.csv: Model version=gpt-6.1-terra_max, Best score (across scorers)=0.926829268292683, stderr=0.04117547077105886, Started at=2026-10-26T20:00:37.000Z
OTIS Mock AIME 2024-2025MaxMax100.0%—Epoch AIEpoch AI, Capabilities & benchmarking (benchmark_data.zip, otis_mock_aime_2024_2025.csv) CC BY 4.0third-party · Retrieved 2026-11-12Run by Epoch AI (third-party measurement). Source label "GPT-6.1 Terra (max)". effort is indicated by the suffix _max in Epoch's Model version. Data retrieved 2026-11-12.transcribed from table
Source excerptotis_mock_aime_2024_2025.csv: Model version=gpt-6.1-terra_max, Best score (across scorers)=1.0, stderr=0.0, Started at=2026-10-26T20:00:37.000Z
SimpleQA VerifiedMaxMax57.3%—Epoch AIEpoch AI, Capabilities & benchmarking (benchmark_data.zip, simpleqa_verified.csv) CC BY 4.0third-party · Retrieved 2026-11-12Run by Epoch AI (third-party measurement). Source label "GPT-6.1 Terra (max)". effort is indicated by the suffix _max in Epoch's Model version. Data retrieved 2026-11-12.transcribed from table
Source excerptsimpleqa_verified.csv: Model version=gpt-6.1-terra_max, Best score (across scorers)=0.573, stderr=0.01564978964446219, Started at=2026-10-26T20:00:37.000Z
MirrorCodeMaxMax76.7%—Epoch AIEpoch AI, Capabilities & benchmarking (benchmark_data.zip, mirrorcode.csv) CC BY 4.0third-party · Retrieved 2026-11-12Run by Epoch AI (third-party measurement). Source label "GPT-6.1 Terra (max)". effort is indicated by the suffix _max in Epoch's Model version. Data retrieved 2026-11-12.transcribed from table
Source excerptmirrorcode.csv: Model version=gpt-6.1-terra_max, Best score (across scorers)=0.7666666666666667, stderr=0.09315175080076958, Started at=2026-10-30T11:34:52.000Z
Epoch Capabilities Index(ECI)not statednot stated167.67—Epoch AIEpoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)third-party · Retrieved 2026-11-12A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.transcribed from table
Source excerpteci_scores.csv: Model=GPT-6.1 Terra, eci=167.67, eci_ci_low=164.73, eci_ci_high=170.98

Related rankings

References