RankingGPT-6 Astra
GPT-6 Astra
85 published benchmark measures · 13 benchmark families contribute across 5 task areas. 5 capability estimates available in the full profile. See all results ↓ · Compare published benchmarks →
Model evidence summary
This profile combines published settings. It is not a runnable configuration or a leaderboard rank. Compare measured configurations →
Performance profile
Capabilities
Filled points are supported; hollow points are preliminary. Lines stop at unknown capabilities. Exact values and sources follow below.
Scores estimate outcomes against a shared reference panel; they are not accuracy percentages. Sparse or disconnected evidence cannot qualify an overall profile. Open a capability to inspect its evidence.
Reported effort · Mixed settings
Settings reported in this model's published benchmark results, including results outside the aggregate. Effort names are provider-specific. These are not API defaults or equal compute budgets.
- Best across efforts: 34 observations
- High: 6 observations
- Low: 6 observations
- Max: 10 observations
- Medium: 6 observations
- XHigh: 7 observations
- Not specified: 62 observations
Mixed settings means multiple settings occur in the evidence. Best across efforts means the source selected its best reported result across settings; it does not mean Max. Unspecified settings stay unknown. This model-summary chart combines reported settings. The leaderboard keeps identified configurations separate and excludes unknown effort.
Inspect each result and its source ↓ · Download effort evidenceScore contributions and missing evidence
13 contributing families across 5 capabilities. Fixed reference panels do not change when the catalog expands.
Capability is fitted jointly across families. Capability estimates below describe different task areas; their weighted sum is not the Capability score.
Results without reviewed compatibility or a reference match remain in the raw evidence below. Coverage counts only contributing results.
Model information & shareable badge
- Lab
- OpenAI
- Catalog status
- active
- Availability
- Public provider catalog; account and region restrictions may apply
- Family
- GPT-6
- Released
- —
- Context
- 1,050,000 tokens
- License
- proprietary
- Model card
- https://developers.openai.com/api/docs/models/all
- Default Capability family coverage
/badge/gpt-6-astra.svg
Benchmark scores & sources
Original results, evaluation harnesses, and evidence behind this model.
| Benchmark | Bucket | Score | Harness | Evidence | Source-recorded date |
|---|---|---|---|---|---|
| Coronavirus-ACE2 Cell-Entry Screen · not specified | Supporting evidence | 0.42 composite scoreReported settings & sourceSystem-card reported configuration; reasoning effort unspecified Observed named-model performance; helpful-only checkpoint omitted as distinct noncatalog identity. GPT-6 Astra System Card · Section10.1.1.2.3 · reviewed 2026-09-06 | Published configuration | lab self-report | Reviewed 2026-09-06 |
| CWE-bench · 1 | Supporting evidence | 68%Reported settings & sourceComparator maximum available thinking/reasoning when reported, otherwise best available result; exact setting not identified by this grid. Official public leaderboard; ranking uses pass@1 with pass@4 tiebreaks. Grid records pass@1 only. Provider-published launch claim, not independent measurement by Google for every row. Official public leaderboard; ranking uses pass@1 with pass@4 tiebreaks. Grid records pass@1 only. Methodology https://deepmind.google/models/evals-methodology/gemini-4-argon, SHA256 ff1df6bdeddc4c0f48840c09a8a7813b10ae7ad9e053892da68dabf64f09bff7. Preserve source rounding. Methodology says capabilities as of September 2026 and results as of October 2026; review date is source retrieval, not evaluation date. Comparison limit: Provider-published claim. Independent source results are admitted separately with exact checkpoint, effort and compatible protocol; this grid does not establish a matched comparison. Google Gemini 4 Argon launch and evaluation methodology · Launch grid row 19: CWE-bench 1 / GPT-6 Astra; methodology Additional Details · reviewed 2026-09-30 | Published configuration | lab self-report | Reviewed 2026-09-30 |
| DAYJOB Finance | Supporting evidence | 21.5% | DAYJOB Finance · max | official board | 2026-10-21 |
| DAYJOB Healthcare | Supporting evidence | 11.6% | DAYJOB Healthcare · max | official board | 2026-10-21 |
| DeepSWE · 1.1 | Coding | 74.1%Reported settings & sourceComparator maximum available thinking/reasoning when reported, otherwise best available result; exact setting not identified by this grid. Argon self-computed with mini-swe agent. Astra from the official public leaderboard; Fable and Opus from their system cards. Highest scoring thinking level per Datacurve. Provider-published launch claim, not independent measurement by Google for every row. Argon self-computed with mini-swe agent. Astra from the official public leaderboard; Fable and Opus from their system cards. Highest scoring thinking level per Datacurve. Methodology https://deepmind.google/models/evals-methodology/gemini-4-argon, SHA256 ff1df6bdeddc4c0f48840c09a8a7813b10ae7ad9e053892da68dabf64f09bff7. Preserve source rounding. Methodology says capabilities as of September 2026 and results as of October 2026; review date is source retrieval, not evaluation date. Comparison limit: Provider-published claim. Independent source results are admitted separately with exact checkpoint, effort and compatible protocol; this grid does not establish a matched comparison. Google Gemini 4 Argon launch and evaluation methodology · Launch grid row 5: DeepSWE 1.1 / GPT-6 Astra; methodology Additional Details · reviewed 2026-09-30 | Published configuration | lab self-report | Reviewed 2026-09-30 |
| DeepSWE v1.1 | Coding | 74.1% | DeepSWE v1.1 reportedcontributes to capability | official board | 2026-09-22 |
| DeepSWE v1.1 · v1.1 | Coding | 74.1%Reported settings & sourceMaximum reported across reasoning efforts; OpenAI research environment or API Provider-published result; comparator measurements are not automatically independently reproduced. GPT-6 Astra: A new generation of intelligence · Coding table / DeepSWE v1.1 / GPT‑6 Astra · reviewed 2026-09-06 | Published configurationcontributes to capability | lab self-report | Reviewed 2026-09-06 |
| DeepSWE v1.1 · v1.1 | Coding | 67.04%Reported settings & sourceReported reasoning effort low. Complex software-engineering tasks in original real codebases. OpenAI research environment or API; same named metric and evaluation chart. No fallback is reported for this OpenAI configuration. Provider-published lab self-report. Published chart cost per task $1.5952; source-specific cost does not establish consensus workload efficiency. Competitor results are republished from public reports; the page does not establish independent reproduction by OpenAI. Introducing GPT-6.1 Sol · Chart: DeepSWE / GPT-6 Astra / low · reviewed 2026-09-29 | Published configurationcontributes to capability | lab self-report | Reviewed 2026-09-29 |
| DeepSWE v1.1 · v1.1 | Coding | 72.79%Reported settings & sourceReported reasoning effort medium. Complex software-engineering tasks in original real codebases. OpenAI research environment or API; same named metric and evaluation chart. No fallback is reported for this OpenAI configuration. Provider-published lab self-report. Published chart cost per task $3.0755; source-specific cost does not establish consensus workload efficiency. Competitor results are republished from public reports; the page does not establish independent reproduction by OpenAI. Introducing GPT-6.1 Sol · Chart: DeepSWE / GPT-6 Astra / medium · reviewed 2026-09-29 | Published configurationcontributes to capability | lab self-report | Reviewed 2026-09-29 |
| DeepSWE v1.1 · v1.1 | Coding | 73.23%Reported settings & sourceReported reasoning effort high. Complex software-engineering tasks in original real codebases. OpenAI research environment or API; same named metric and evaluation chart. No fallback is reported for this OpenAI configuration. Provider-published lab self-report. Published chart cost per task $3.9237; source-specific cost does not establish consensus workload efficiency. Competitor results are republished from public reports; the page does not establish independent reproduction by OpenAI. Introducing GPT-6.1 Sol · Chart: DeepSWE / GPT-6 Astra / high · reviewed 2026-09-29 | Published configurationcontributes to capability | lab self-report | Reviewed 2026-09-29 |
| DeepSWE v1.1 · v1.1 | Coding | 74.12%Reported settings & sourceReported reasoning effort xhigh. Complex software-engineering tasks in original real codebases. OpenAI research environment or API; same named metric and evaluation chart. No fallback is reported for this OpenAI configuration. Provider-published lab self-report. Published chart cost per task $4.4291; source-specific cost does not establish consensus workload efficiency. Competitor results are republished from public reports; the page does not establish independent reproduction by OpenAI. Introducing GPT-6.1 Sol · Chart: DeepSWE / GPT-6 Astra / xhigh · reviewed 2026-09-29 | Published configurationcontributes to capability | lab self-report | Reviewed 2026-09-29 |
| DeepSWE v1.1 · v1.1 | Coding | 73.23%Reported settings & sourceReported reasoning effort max. Complex software-engineering tasks in original real codebases. OpenAI research environment or API; same named metric and evaluation chart. No fallback is reported for this OpenAI configuration. Provider-published lab self-report. Published chart cost per task $7.4978; source-specific cost does not establish consensus workload efficiency. Competitor results are republished from public reports; the page does not establish independent reproduction by OpenAI. Introducing GPT-6.1 Sol · Chart: DeepSWE / GPT-6 Astra / max · reviewed 2026-09-29 | Published configurationcontributes to capability | lab self-report | Reviewed 2026-09-29 |
| ExploitBench · not specified | Supporting evidence | 100%Reported settings & sourceMaximum reported across reasoning efforts; OpenAI research environment or API; reduced or absent production safeguards Provider-published result; comparator measurements are not automatically independently reproduced. GPT-6 Astra: A new generation of intelligence · Cybersecurity table / ExploitBench / GPT‑6 Astra · reviewed 2026-09-06 | Published configuration | lab self-report | Reviewed 2026-09-06 |
| ExploitBench (June-Aug 2026) · June-Aug2026 | Supporting evidence | 39%Reported settings & sourceMaximum reported across reasoning efforts; OpenAI research environment or API; reduced or absent production safeguards; 20 vulnerabilities / 13 Chrome releases Provider-published result; comparator measurements are not automatically independently reproduced. GPT-6 Astra: A new generation of intelligence · Cybersecurity table / ExploitBench (June-Aug 2026) / GPT‑6 Astra · reviewed 2026-09-06 | Published configuration | lab self-report | Reviewed 2026-09-06 |
| ExploitGym · not specified | Supporting evidence | 42.4%Reported settings & sourceMaximum reported across reasoning efforts; OpenAI research environment or API; reduced or absent production safeguards; v1 offline environment; no runtime package installation; token capped, no wall-clock cap Provider-published result; comparator measurements are not automatically independently reproduced. GPT-6 Astra: A new generation of intelligence · Cybersecurity table / ExploitGym / GPT‑6 Astra · reviewed 2026-09-06 | Published configuration | lab self-report | Reviewed 2026-09-06 |
| Factual error rate on difficult prompts · Sol 6.1 launch / user-flagged conversations | Supporting evidence | 6.26%Reported settings & sourceReported reasoning effort low. Share of answers with at least one factual error on de-identified conversations where users flagged an earlier model error; deliberately difficult, not representative of typical usage. OpenAI research environment or API; same named metric and evaluation chart. No fallback is reported for this OpenAI configuration. Provider-published lab self-report. Published chart cost per task $0.2417; source-specific cost does not establish consensus workload efficiency. Competitor results are republished from public reports; the page does not establish independent reproduction by OpenAI. Comparison limit: Private user-flagged prompt protocol needs separate review before capability scoring; retained as an exact lower-is-better sourced claim. Introducing GPT-6.1 Sol · Chart: Factual error rate on difficult prompts (lower is better) / GPT-6 Astra / low · reviewed 2026-09-29 | Published configuration | lab self-report | Reviewed 2026-09-29 |
| Factual error rate on difficult prompts · Sol 6.1 launch / user-flagged conversations | Supporting evidence | 4.41%Reported settings & sourceReported reasoning effort medium. Share of answers with at least one factual error on de-identified conversations where users flagged an earlier model error; deliberately difficult, not representative of typical usage. OpenAI research environment or API; same named metric and evaluation chart. No fallback is reported for this OpenAI configuration. Provider-published lab self-report. Published chart cost per task $0.3103; source-specific cost does not establish consensus workload efficiency. Competitor results are republished from public reports; the page does not establish independent reproduction by OpenAI. Comparison limit: Private user-flagged prompt protocol needs separate review before capability scoring; retained as an exact lower-is-better sourced claim. Introducing GPT-6.1 Sol · Chart: Factual error rate on difficult prompts (lower is better) / GPT-6 Astra / medium · reviewed 2026-09-29 | Published configuration | lab self-report | Reviewed 2026-09-29 |
| Factual error rate on difficult prompts · Sol 6.1 launch / user-flagged conversations | Supporting evidence | 3.9%Reported settings & sourceReported reasoning effort high. Share of answers with at least one factual error on de-identified conversations where users flagged an earlier model error; deliberately difficult, not representative of typical usage. OpenAI research environment or API; same named metric and evaluation chart. No fallback is reported for this OpenAI configuration. Provider-published lab self-report. Published chart cost per task $0.477; source-specific cost does not establish consensus workload efficiency. Competitor results are republished from public reports; the page does not establish independent reproduction by OpenAI. Comparison limit: Private user-flagged prompt protocol needs separate review before capability scoring; retained as an exact lower-is-better sourced claim. Introducing GPT-6.1 Sol · Chart: Factual error rate on difficult prompts (lower is better) / GPT-6 Astra / high · reviewed 2026-09-29 | Published configuration | lab self-report | Reviewed 2026-09-29 |
| Factual error rate on difficult prompts · Sol 6.1 launch / user-flagged conversations | Supporting evidence | 3.99%Reported settings & sourceReported reasoning effort xhigh. Share of answers with at least one factual error on de-identified conversations where users flagged an earlier model error; deliberately difficult, not representative of typical usage. OpenAI research environment or API; same named metric and evaluation chart. No fallback is reported for this OpenAI configuration. Provider-published lab self-report. Published chart cost per task $0.6032; source-specific cost does not establish consensus workload efficiency. Competitor results are republished from public reports; the page does not establish independent reproduction by OpenAI. Comparison limit: Private user-flagged prompt protocol needs separate review before capability scoring; retained as an exact lower-is-better sourced claim. Introducing GPT-6.1 Sol · Chart: Factual error rate on difficult prompts (lower is better) / GPT-6 Astra / xhigh · reviewed 2026-09-29 | Published configuration | lab self-report | Reviewed 2026-09-29 |
| Factual error rate on difficult prompts · Sol 6.1 launch / user-flagged conversations | Supporting evidence | 3.91%Reported settings & sourceReported reasoning effort max. Share of answers with at least one factual error on de-identified conversations where users flagged an earlier model error; deliberately difficult, not representative of typical usage. OpenAI research environment or API; same named metric and evaluation chart. No fallback is reported for this OpenAI configuration. Provider-published lab self-report. Published chart cost per task $0.7865; source-specific cost does not establish consensus workload efficiency. Competitor results are republished from public reports; the page does not establish independent reproduction by OpenAI. Comparison limit: Private user-flagged prompt protocol needs separate review before capability scoring; retained as an exact lower-is-better sourced claim. Introducing GPT-6.1 Sol · Chart: Factual error rate on difficult prompts (lower is better) / GPT-6 Astra / max · reviewed 2026-09-29 | Published configuration | lab self-report | Reviewed 2026-09-29 |
| Failure to disclose a broken search tool · Sol 6.1 launch / safety stress test | Supporting evidence | 1.5%Reported settings & sourceReported reasoning effort max. Adversarial test of whether agents disclose a broken search tool. OpenAI research environment or API; same named metric and evaluation chart. No fallback is reported for this OpenAI configuration. Provider-published lab self-report. Safety stress outcomes are retained for inspection and excluded from capability scoring. Competitor results are republished from public reports; the page does not establish independent reproduction by OpenAI. Comparison limit: Safety failure behavior is not a capability or intelligence score. Introducing GPT-6.1 Sol · Chart: Failure to disclose a broken search tool (lower is better) / GPT-6 Astra / max · reviewed 2026-09-29 | Published configuration | lab self-report | Reviewed 2026-09-29 |
| FrontierCode 1.1 Extended (score) · 1.1 | Supporting evidence | 64.5%Reported settings & sourceMaximum reported across reasoning efforts; OpenAI research environment or API; Codex-style developer instruction on tests, reuse and repository conventions Provider-published result; comparator measurements are not automatically independently reproduced. GPT-6 Astra: A new generation of intelligence · Coding table / FrontierCode 1.1 Extended (score) / GPT‑6 Astra · reviewed 2026-09-06 | Published configuration | lab self-report | Reviewed 2026-09-06 |
| FrontierCode 1.1 Main (score) · 1.1 | Supporting evidence | 53.3%Reported settings & sourceMaximum reported across reasoning efforts; OpenAI research environment or API; Codex-style developer instruction on tests, reuse and repository conventions Provider-published result; comparator measurements are not automatically independently reproduced. GPT-6 Astra: A new generation of intelligence · Coding table / FrontierCode 1.1 Main (score) / GPT‑6 Astra · reviewed 2026-09-06 | Published configuration | lab self-report | Reviewed 2026-09-06 |
| FrontierMath Erdős | Supporting evidence | 3% | FrontierMath Erdős proof scorer | official board | 2026-08-28 |
| FrontierMath Tier 4 (v2) · v2 | Hard reasoning | 97.6%Reported settings & sourceMaximum reported across reasoning efforts; OpenAI research environment or API Provider-published result; comparator measurements are not automatically independently reproduced. GPT-6 Astra: A new generation of intelligence · Academic table / FrontierMath Tier 4 (v2) / GPT‑6 Astra · reviewed 2026-09-06 | Published configurationcontributes to capability | lab self-report | Reviewed 2026-09-06 |