Model comparison
Gemini 3.1 Pro Preview vs Qwen2.5 32B Instruct
Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 30.1 on the Noometry Index. Qwen2.5 32B Instruct costs 3.7× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.
Last verified . 4 shared benchmarks.
Summary
- They share 4 benchmarks with published results for both. Gemini 3.1 Pro Preview scores higher in 4 categories and Qwen2.5 32B Instruct in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.1 Pro Preview leads 71.7 to 19.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 95.6% for Gemini 3.1 Pro Preview and 7.4% for Qwen2.5 32B Instruct.
- Qwen2.5 32B Instruct is cheaper at $0.70 / $2.80 per million input/output tokens, against $2 / $12 for Gemini 3.1 Pro Preview.
- Gemini 3.1 Pro Preview accepts more context: 1.05M tokens versus 131K.
- Qwen2.5 32B Instruct has downloadable open weights; the other is API-only.
Side by side
| Gemini 3.1 Pro Preview | Qwen2.5 32B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 56.7 | 30.1 |
| Released | 2026-02-19 | 2024-09 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 131K |
| Max output | 66K | 8K |
| Input $ / M tokens | $2 | $0.70 |
| Output $ / M tokens | $12 | $2.80 |
| Results tracked | 71 | 7 |
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Category by category
Coding Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 42.5 (#99), Qwen2.5 32B Instruct: 38.7 (#169)
| Benchmark | Gemini 3.1 Pro Preview | Qwen2.5 32B Instruct |
|---|---|---|
| SWE-bench Verified | 75.6% | — |
| DeepSWE | 11.7% | — |
| LMArena WebDev | 1447 | — |
| SciCode | 58.9% | — |
| GSO | 22.6% | — |
| WeirdML | 72.1% | — |
| BigCodeBench Instruct | — | 45% |
| LMArena Coding | 1484 | — |
| MirrorCode | 8.9% | — |
| BigCodeBench Complete | — | 52.3% |
| ALE-Bench | 1,161 | — |
| AlgoTune | 2.02 | — |
Agentic & Tool Use Not comparable
Gemini 3.1 Pro Preview: 37.7 (#34), Qwen2.5 32B Instruct: —
| Benchmark | Gemini 3.1 Pro Preview | Qwen2.5 32B Instruct |
|---|---|---|
| Terminal-Bench | 80.2% | — |
| APEX-Agents | 35.3% | — |
| τ²-bench Banking | 26% | — |
| DeepResearch Bench | 47.8% | — |
| PostTrainBench | 22% | — |
| BALROG | 57% | — |
| ExploitBench | 26.1% | — |
| GBAEval | 0.8% | — |
| GDP.pdf | 17% | — |
| LMArena Search | 1211 | — |
| METR Time Horizons | 77% | — |
| Vending-Bench 2 | 3,774 | — |
Reasoning Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 71.7 (#12), Qwen2.5 32B Instruct: 19.2 (#266)
| Benchmark | Gemini 3.1 Pro Preview | Qwen2.5 32B Instruct |
|---|---|---|
| Chess Puzzles | 55% | 0% |
| Epoch Capabilities Index | 154.77 | 128.52 |
| ARC-AGI-2 | 77.1% | — |
| SimpleBench | 79.6% | — |
| NYT Connections (extended) | 97.4% | — |
| ARC-AGI-1 | 98% | — |
| CritPt | 17.7% | — |
| EnigmaEval | 36.8% | — |
| Thematic Generalization | 79.4% | — |
| EBR-Bench | 14.3% | — |
| LMArena Hard Prompts | 1485 | — |
| Mystery Game Puzzles | 34% | — |
| DTBench | 97.1% | — |
| LMCA | 53.8% | — |
| ForecastBench | 59 | — |
Math Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 62.1 (#34), Qwen2.5 32B Instruct: 16.2 (#296)
| Benchmark | Gemini 3.1 Pro Preview | Qwen2.5 32B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 95.6% | 7.4% |
| FrontierMath (Tiers 1-3) | 59.6% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 86.5% | — |
| ProofBench | 26% | — |
| LMArena Math | 1485 | — |
| MATH Level 5 | — | 56.1% |
| FrontierMath (Feb 2025 set) | 36.9% | — |
| FrontierMath Tier 4 (v1) | 16.7% | — |
Knowledge Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 71.8 (#3), Qwen2.5 32B Instruct: 24.9 (#266)
| Benchmark | Gemini 3.1 Pro Preview | Qwen2.5 32B Instruct |
|---|---|---|
| GPQA Diamond | 94.4% | 46.1% |
| Humanity's Last Exam | 46.4% | — |
| SimpleQA Verified | 73.5% | — |
| Vectara Hallucination Rate | 10.4% | — |
| LMArena Expert | 1485 | — |
Multimodal Not comparable
Gemini 3.1 Pro Preview: 37.9 (#69), Qwen2.5 32B Instruct: —
| Benchmark | Gemini 3.1 Pro Preview | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Vision | 1296 | — |
| Blueprint-Bench 2 | 26.5% | — |
| Furniture Assembly | 26.7% | — |
| LMArena Document | 1444 | — |
Multilingual Not comparable
Gemini 3.1 Pro Preview: 57.0 (#12), Qwen2.5 32B Instruct: —
| Benchmark | Gemini 3.1 Pro Preview | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Non-English | 1477 | — |
| LMArena Chinese | 1529 | — |
| LMArena French | 1487 | — |
| LMArena German | 1491 | — |
| LMArena Japanese | 1493 | — |
| LMArena Korean | 1455 | — |
| LMArena Russian | 1498 | — |
| LMArena Spanish | 1479 | — |
Instruction Following Not comparable
Gemini 3.1 Pro Preview: 77.0 (#32), Qwen2.5 32B Instruct: —
| Benchmark | Gemini 3.1 Pro Preview | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Instruction Following | 1466 | — |
Long Context Not comparable
Gemini 3.1 Pro Preview: 47.4 (#18), Qwen2.5 32B Instruct: —
| Benchmark | Gemini 3.1 Pro Preview | Qwen2.5 32B Instruct |
|---|---|---|
| CL-bench | 20.8% | — |
| CL-bench Life | 16.9% | — |
| LMArena Longer Query | 1483 | — |
Writing & Preference Not comparable
Gemini 3.1 Pro Preview: 66.1 (#37), Qwen2.5 32B Instruct: —
| Benchmark | Gemini 3.1 Pro Preview | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Text | 1481 | — |
| LMArena Creative Writing | 1482 | — |
| EQ-Bench Creative Writing | 1491 | — |
| EQ-Bench 4 | 1142 | — |
| LMArena Multi-Turn | 1488 | — |
Frequently asked questions
Is Gemini 3.1 Pro Preview better than Qwen2.5 32B Instruct?
Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 30.1 on the Noometry Index. Qwen2.5 32B Instruct costs 3.7× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.
Which is cheaper, Gemini 3.1 Pro Preview or Qwen2.5 32B Instruct?
Qwen2.5 32B Instruct is cheaper. It lists at $0.70 per million input tokens and $2.80 per million output tokens; Gemini 3.1 Pro Preview lists at $2 and $12.
Is Gemini 3.1 Pro Preview or Qwen2.5 32B Instruct better for coding?
Gemini 3.1 Pro Preview scores higher on coding benchmarks: 42.5 versus 38.7 in the Noometry coding category.
Which has the bigger context window?
Gemini 3.1 Pro Preview does, with 1.05M tokens against 131K.
How many benchmarks do Gemini 3.1 Pro Preview and Qwen2.5 32B Instruct share?
4 benchmarks have published results for both models. Gemini 3.1 Pro Preview has 71 scored results on Noometry and Qwen2.5 32B Instruct has 7.