GPT-6 Astra vs Gemini 3.1 Pro
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| Comparison | GPT-6 Astragpt-6-astra | Gemini 3.1 Progemini-3.1-pro-preview |
|---|---|---|
| Type | Chat | Chat |
| Best for | Chat, writing, coding and reasoning tasks | Complex reasoning, multi-step analysis and difficult coding |
| TokenRex price | $10.00 in / $50.00 out per 1M tokens | $2.00 in / $12.00 out per 1M tokens |
| Cached input / 1M tokens | $1.00 per 1M tokens | $0.20 per 1M tokens |
| Cache write / 1M tokens | $12.50 per 1M tokens | No extra fee |
| Cached output | Not offered · standard output rate applies | Not offered · standard output rate applies |
| Market price | $10.00 in / $50.00 out per 1M tokens | $2.00 in / $12.00 out per 1M tokens |
| Context window (provider) | 1,050,000 tokens | Not applicable |
| Input token limit (provider) | Within the context window | 1,048,576 tokens |
| Maximum output | 128,000 tokens | 65,536 tokens |
| Knowledge cutoff | Apr 30, 2026 | — |
| Vendor input modalities | Text, Image | Text, Image, Audio, Video |
| Vendor output modalities | Text | Text |
| TokenRex endpoints | POST /v1/chat/completions | POST /v1/chat/completions |
| TokenRex input | Text, Image/PDF content through the chat bridge | — |
| TokenRex output | Text | — |
| Benchmarks | ||
| Benchmark evidence | 6 source-linked results | 5 source-linked results |
| FrontierMath Tier 4 (v2) | 97.6% Third-party reproduction of OpenAI’s announcement table; reported maximum effort unless noted, not a TokenRex run. Direct launch page could not be fetched during this audit. Vellum · GPT-6 Astra launch-table analysis | — |
| ARC-AGI-3 | 99.9% Semi-private ARC-AGI-3, Provider Adapter harness, high reasoning: 99.9%. Standard harness at max reasoning instead reports 62.7%; opaque state reuse and compaction materially change the result. ARC Prize · GPT-6 Astra evaluated results | — |
| ExploitBench | 100% Third-party reproduction of OpenAI’s announcement table; reported maximum effort unless noted, not a TokenRex run. Direct launch page could not be fetched during this audit. Evaluated without production safeguards. Vellum · GPT-6 Astra launch-table analysis | — |
| Terminal-Bench-Science 0.1 | 64.6% Third-party reproduction of OpenAI’s announcement table; reported maximum effort unless noted, not a TokenRex run. Direct launch page could not be fetched during this audit. Vellum · GPT-6 Astra launch-table analysis | — |
| FrontierCode v1.1 (Extended) | 60.25% Cognition FrontierCode 1.1; GPT-6 Astra; medium effort; codex harness; Extended subset (150 tasks). Published weighted rubric score (new_score × 100), not the all-or-nothing pass rate; solution-source violations score zero. Source field new_score=0.6025. Publisher evaluation, not a TokenRex measurement; provider effort configuration is not a guarantee of the API's fixed thinking budget. Cognition · FrontierCode 1.1 original leaderboard | — |
| FrontierCode v1.1 (Main) | 48.83% Cognition FrontierCode 1.1; GPT-6 Astra; medium effort; codex harness; Main subset (100 tasks). Published weighted rubric score (new_score × 100), not the all-or-nothing pass rate; solution-source violations score zero. Source field new_score=0.4883. Publisher evaluation, not a TokenRex measurement; provider effort configuration is not a guarantee of the API's fixed thinking budget. Cognition · FrontierCode 1.1 original leaderboard | — |
| ARC-AGI-2 | — | 77.1% ARC Prize Verified, semi-private set, self-computed by Google per official gemini_3-1_pro_model_evaluation.pdf methodology (pass@1, single attempt, default gemini-3.1-pro-preview sampling). Published source text: On ARC-AGI-2 ... 3.1 Pro achieved a verified score of 77.1%. This is more than double the reasoning performance of 3 Pro. Google Blog – Gemini 3.1 Pro: A smarter model for your most complex tasks |
| GPQA Diamond | — | 94.3% Self-computed by Google per official Gemini 3.1 Pro model-evaluation methodology PDF (pass@1, single-attempt, gemini-3.1-pro-preview default settings, Feb 2026). Published source text: 94.3% on GPQA Diamond NxCode – Gemini 3.1 Pro Complete Guide 2026 (citing Google launch benchmarks) |
| SWE-bench Verified | — | 80.6% Self-computed per official methodology PDF: single-attempt scaffolding, averaged over 10x runs, gemini-3.1-pro-preview, Feb 2026. Published source text: 80.6% on SWE-Bench Verified NxCode – Gemini 3.1 Pro Complete Guide 2026 (citing Google launch benchmarks) |
| LiveCodeBench Pro Elo | — | 2887elo Public leaderboard Elo score as reported in Google's official Gemini 3.1 Pro model-evaluation PDF (Feb 2026). Published source text: LiveCodeBench Pro | 2887 Elo | Coding evaluation S5 Labs – Gemini 3.1 Pro Leads 12 of 18 Benchmarks |
| BrowseComp | — | 85.9% Deep Research configuration (search, python, browsing access) per official Gemini 3.1 Pro evaluation methodology, Feb 2026. Published source text: BrowseComp | 85.9% | Web browsing comprehension S5 Labs – Gemini 3.1 Pro Leads 12 of 18 Benchmarks |
No overall score, winner or cost-versus-score frontier is calculated without comparable, attributable benchmark evidence. Different test configurations appear separately. Vendor capabilities are distinct from TokenRex API support.
— means no published value or no matching capability. Provider token limits are not tested gateway guarantees; TokenRex media controls and response formats are listed separately.
GPT-6 Astra
Sources and verification
Provider specifications describe the upstream model, not a guarantee of every feature through TokenRex. Prices come from the enabled catalog; benchmark results belong to the exact tested model.
- Provider model specifications
Vendor-reported
Last checked - Vellum · GPT-6 Astra launch-table analysis
Third-party report
Last checked - ARC Prize · GPT-6 Astra evaluated results
Third-party report
Last checked - Cognition · FrontierCode 1.1 original leaderboard
Third-party report
Last checked
Research notes (1)
- Published provider limits; maximum-capacity requests have not been independently exercised through TokenRex. Thinking-level variants use the same provider model; reasoning and answer tokens share the output budget.
Gemini 3.1 Pro
Sources and verification
Provider specifications describe the upstream model, not a guarantee of every feature through TokenRex. Prices come from the enabled catalog; benchmark results belong to the exact tested model.
- Provider model specifications
Vendor-reported
Last checked - Google Blog – Gemini 3.1 Pro: A smarter model for your most complex tasks
Vendor-reported
Last checked - NxCode – Gemini 3.1 Pro Complete Guide 2026 (citing Google launch benchmarks)
Third-party report
Last checked - S5 Labs – Gemini 3.1 Pro Leads 12 of 18 Benchmarks
Third-party report
Last checked
Research notes (1)
- Published provider limits; maximum-capacity requests have not been independently exercised through TokenRex. Thinking-level variants use the same provider model; reasoning and answer tokens share the output budget.
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