Model comparison
Gemini 3.1 Pro vs Qwen2.5-72B
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemini 3.1 Pro #83 (Estimated); Qwen2.5-72B #101 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 3.1 Pro and Qwen2.5-72B share 0 comparable benchmark results. 0 of 8 categories are comparable. 47 results are unique to Gemini 3.1 Pro; 0 to Qwen2.5-72B.
Updated July 21, 2026- Shared results
- 0
- Gemini 3.1 Pro only
- 47
- Qwen2.5-72B only
- 0
- Comparable categories
- 0 / 8
Benchmark data for Gemini 3.1 Pro and Qwen2.5-72B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM does not have sourced benchmark coverage for Qwen2.5-72B yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
Gemini 3.1 Pro is priced at $2.00 input / $12.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen2.5-72B. Gemini 3.1 Pro has the larger context window at 1M, compared with 128K for Qwen2.5-72B.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 3.1 Pro | Qwen2.5-72B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 3.1 Pro$2 input / $12 output | Qwen2.5-72B$0 input / $0 output | Qwen2.5-72B has the lower combined listed price. |
| Generation speedtokens per second | Gemini 3.1 Pro109 tok/s | Qwen2.5-72BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemini 3.1 Pro29.71 s | Qwen2.5-72BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemini 3.1 Pro1M | Qwen2.5-72B128K | Gemini 3.1 Pro lists the larger context window. |
Benchmark Deep Dive
Agentic16 benchmarks
| Benchmark | Gemini 3.1 Pro | Qwen2.5-72B | Result |
|---|---|---|---|
| Claw-EvalSource | 57.8% | — | Not comparable |
| DeepSearchQASource | 69.7% | — | Not comparable |
| τ²-bench resultsSource | 95.6% | — | Not comparable |
| AA Agentic IndexSource | 21.4% | — | Not comparable |
| APEX-Agents-AASource | 32.0% | — | Not comparable |
| GDPval-AASource | 23.3% | — | Not comparable |
| GDPval-AASource | 965 | — | Not comparable |
| Gert LabsSource | 56.87% | — | Not comparable |
| ResearchClawBenchSource | 13.3% | — | Not comparable |
| AA AutomationBenchSource | 37.5% | — | Not comparable |
| AA EnterpriseOps-GymSource | 42.2% | — | Not comparable |
| AA Harvey LABSource | 58.9% | — | Not comparable |
| AA ITBenchSource | 30.3% | — | Not comparable |
| AA Tau3 BankingSource | 16.5% | — | Not comparable |
| terminalBenchHardSource | 53.8% | — | Not comparable |
| aaTerminalBench21Source | 73.8% | — | Not comparable |
Coding5 benchmarks
Reasoning3 benchmarks
Knowledge10 benchmarks
| Benchmark | Gemini 3.1 Pro | Qwen2.5-72B | Result |
|---|---|---|---|
| GPQA-DSource | 94.3% | — | Not comparable |
| HLE w/o toolsSource | 45.4% | — | Not comparable |
| HealthBench HardSource | 20.6% | — | Not comparable |
| MedXpertQA (Text)Source | 71.5% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 46.5% | — | Not comparable |
| AA-GPQA DiamondSource | 94.1% | — | Not comparable |
| AA-HLESource | 44.7% | — | Not comparable |
| AA-Omniscience IndexSource | 32.9% | — | Not comparable |
| AA-Omniscience AccuracySource | 55.3% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 49.9% | — | Not comparable |
Math2 benchmarks
Multilingual1 benchmarks
| Benchmark | Gemini 3.1 Pro | Qwen2.5-72B | Result |
|---|---|---|---|
| AA Global-MMLU-LiteSource | 93.2% | — | Not comparable |
Multimodal9 benchmarks
| Benchmark | Gemini 3.1 Pro | Qwen2.5-72B | Result |
|---|---|---|---|
| MMMU-ProSource | 83.9% | — | Not comparable |
| CharXivSource | 80.2% | — | Not comparable |
| ERQASource | 69.4% | — | Not comparable |
| SimpleVQASource | 72.4% | — | Not comparable |
| ScreenSpot ProSource | 84.4% | — | Not comparable |
| ZeroBenchSource | 29.0% | — | Not comparable |
| MedXpertQA (MM)Source | 81.3% | — | Not comparable |
| AA-MMMU-ProSource | 82.4% | — | Not comparable |
| Design Arena WebsiteSource | 1281 | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Gemini 3.1 Pro | Qwen2.5-72B | Result |
|---|---|---|---|
| AA-IFBenchSource | 77.1% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Gemini 3.1 Pro and Qwen2.5-72B on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Gemini 3.1 Pro and Qwen2.5-72B today?
Gemini 3.1 Pro: $2.00 input / $12.00 output per 1M tokens Qwen2.5-72B: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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