Gemini 2.5 Pro vs Gemini 3.1 Pro
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| Comparison | Gemini 2.5 Progemini-2.5-pro | Gemini 3.1 Progemini-3.1-pro-preview |
|---|---|---|
| Type | Chat | Chat |
| Best for | Complex reasoning, multi-step analysis and difficult coding | Complex reasoning, multi-step analysis and difficult coding |
| TokenRex price | $1.25 in / $10.00 out per 1M tokens | $2.00 in / $12.00 out per 1M tokens |
| Cached input / 1M tokens | $0.125 per 1M tokens | $0.20 per 1M tokens |
| Cache write / 1M tokens | No extra fee | No extra fee |
| Cached output | Not offered · standard output rate applies | Not offered · standard output rate applies |
| Market price | $1.25 in / $10.00 out per 1M tokens | $2.00 in / $12.00 out per 1M tokens |
| Context window (provider) | Not applicable | Not applicable |
| Input token limit (provider) | 1,048,576 tokens | 1,048,576 tokens |
| Maximum output | 65,536 tokens | 65,536 tokens |
| Knowledge cutoff | January 2025 | — |
| Vendor input modalities | Text, Image, Audio, Video | Text, Image, Audio, Video |
| Vendor output modalities | Text | Text |
| TokenRex endpoints | POST /v1/chat/completions | POST /v1/chat/completions |
| Benchmarks | ||
| Benchmark evidence | 6 source-linked results | 5 source-linked results |
| GPQA Diamond | 85.3% Official Google-reported score at launch (Gemini 2.5 Pro Experimental, Mar 2025); single-attempt/pass@1 methodology per Gemini technical report conventions. Published source text: GPQA Diamond | Reasoning | 85.3% | accuracy | Official | Mar 25, 2025 evals.report – Gemini 2.5 Pro benchmark scores (sourced from Google's official Mar 25, 2025 launch materials) | 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) |
| Humanity's Last Exam | 21.64% Official Google-reported score, no tools, Mar 2025 launch. Published source text: Humanity's Last Exam | Reasoning | 21.64% | accuracy | Official | Mar 25, 2025 evals.report – Gemini 2.5 Pro benchmark scores | — |
| SWE-bench Verified | 57.6% Official Google-reported single-attempt agentic coding score, Mar 2025 launch. Published source text: SWE-bench Verified | Coding | 57.6% | % resolved | Official | Mar 25, 2025 evals.report – Gemini 2.5 Pro benchmark scores | 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) |
| AIME 2025 (OTIS Mock) | 84.2% Official Google-reported score, no tools, Mar 2025 launch. Published source text: AIME (OTIS Mock) | Reasoning | 84.2% | accuracy | Official | Mar 25, 2025 evals.report – Gemini 2.5 Pro benchmark scores | — |
| LMArena Elo | 1457elo Human-preference blind evaluation, LMArena leaderboard, Mar 2025. Published source text: LMArena | Chat preference | 1457 | source-defined rating | Official | Mar 25, 2025 evals.report – Gemini 2.5 Pro benchmark scores | — |
| Artificial Analysis Intelligence Index | 16index Artificial Analysis Intelligence Index v4.3.2 (current composite methodology as re-scored on AA's exact-model page, default reasoning effort), not the original v1 score at launch. Published source text: Gemini 2.5 Pro scores 16 on the Artificial Analysis Intelligence Index Artificial Analysis – Gemini 2.5 Pro model page | — |
| 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 |
| 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.
Gemini 2.5 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 - evals.report – Gemini 2.5 Pro benchmark scores (sourced from Google's official Mar 25, 2025 launch materials)
Third-party report
Last checked - Artificial Analysis – Gemini 2.5 Pro model page
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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