# Gemini 3.1 Pro Preview vs Qwen3 Coder Next

> Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 34.3 on the Noometry Index. Qwen3 Coder Next costs 16× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemini-3-1-pro-preview-vs-qwen3-coder-next
- Last updated: 2026-10-11
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. Gemini 3.1 Pro Preview scores higher in 2 categories and Qwen3 Coder Next in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.1 Pro Preview leads 71.7 to 22.4.
- The biggest single-benchmark swing is WeirdML: 72.1% for Gemini 3.1 Pro Preview and 34.4% for Qwen3 Coder Next.
- Qwen3 Coder Next is cheaper at $0.12 / $0.80 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 262K.
- Qwen3 Coder Next has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 3.1 Pro Preview | Qwen3 Coder Next |
|---|---|---|
| Provider | Google | Alibaba (Qwen) |
| Noometry Index | 56.7 | 34.3 |
| Rank | 23 | 232 |
| Context | 1.05M | 262K |
| Input $/M | $2 | $0.12 |
| Output $/M | $12 | $0.80 |
| Weights | Proprietary | Open |

## Coding

- Gemini 3.1 Pro Preview: 42.5 (#99)
- Qwen3 Coder Next: 36.3 (#210)

| Benchmark | Gemini 3.1 Pro Preview | Qwen3 Coder Next |
|---|---|---|
| SciCode | 58.9% | 32.3% |
| WeirdML | 72.1% | 34.4% |
| SWE-bench Verified | 75.6% | — |
| DeepSWE | 11.7% | — |
| LMArena WebDev | 1447 | — |
| GSO | 22.6% | — |
| LMArena Coding | 1484 | — |
| MirrorCode | 8.9% | — |
| ALE-Bench | 1,161 | — |
| AlgoTune | 2.02 | — |

## Agentic & Tool Use

- Gemini 3.1 Pro Preview: 37.7 (#34)
- Qwen3 Coder Next: —

| Benchmark | Gemini 3.1 Pro Preview | Qwen3 Coder Next |
|---|---|---|
| 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: 71.7 (#12)
- Qwen3 Coder Next: 22.4 (#196)

| Benchmark | Gemini 3.1 Pro Preview | Qwen3 Coder Next |
|---|---|---|
| CritPt | 17.7% | 0% |
| ARC-AGI-2 | 77.1% | — |
| SimpleBench | 79.6% | — |
| NYT Connections (extended) | 97.4% | — |
| ARC-AGI-1 | 98% | — |
| Chess Puzzles | 55% | — |
| 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% | — |
| Epoch Capabilities Index | 154.77 | — |
| ForecastBench | 59 | — |

## Math

- Gemini 3.1 Pro Preview: 62.1 (#34)
- Qwen3 Coder Next: —

| Benchmark | Gemini 3.1 Pro Preview | Qwen3 Coder Next |
|---|---|---|
| FrontierMath (Tiers 1-3) | 59.6% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 86.5% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| ProofBench | 26% | — |
| LMArena Math | 1485 | — |
| FrontierMath (Feb 2025 set) | 36.9% | — |
| FrontierMath Tier 4 (v1) | 16.7% | — |

## Knowledge

- Gemini 3.1 Pro Preview: 71.8 (#3)
- Qwen3 Coder Next: —

| Benchmark | Gemini 3.1 Pro Preview | Qwen3 Coder Next |
|---|---|---|
| GPQA Diamond | 94.4% | — |
| Humanity's Last Exam | 46.4% | — |
| SimpleQA Verified | 73.5% | — |
| Vectara Hallucination Rate | 10.4% | — |
| LMArena Expert | 1485 | — |

## Multimodal

- Gemini 3.1 Pro Preview: 37.9 (#69)
- Qwen3 Coder Next: —

| Benchmark | Gemini 3.1 Pro Preview | Qwen3 Coder Next |
|---|---|---|
| LMArena Vision | 1296 | — |
| Blueprint-Bench 2 | 26.5% | — |
| Furniture Assembly | 26.7% | — |
| LMArena Document | 1444 | — |

## Multilingual

- Gemini 3.1 Pro Preview: 57.0 (#12)
- Qwen3 Coder Next: —

| Benchmark | Gemini 3.1 Pro Preview | Qwen3 Coder Next |
|---|---|---|
| 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

- Gemini 3.1 Pro Preview: 77.0 (#32)
- Qwen3 Coder Next: —

| Benchmark | Gemini 3.1 Pro Preview | Qwen3 Coder Next |
|---|---|---|
| LMArena Instruction Following | 1466 | — |

## Long Context

- Gemini 3.1 Pro Preview: 47.4 (#18)
- Qwen3 Coder Next: —

| Benchmark | Gemini 3.1 Pro Preview | Qwen3 Coder Next |
|---|---|---|
| CL-bench | 20.8% | — |
| CL-bench Life | 16.9% | — |
| LMArena Longer Query | 1483 | — |

## Writing & Preference

- Gemini 3.1 Pro Preview: 66.1 (#37)
- Qwen3 Coder Next: —

| Benchmark | Gemini 3.1 Pro Preview | Qwen3 Coder Next |
|---|---|---|
| LMArena Text | 1481 | — |
| LMArena Creative Writing | 1482 | — |
| EQ-Bench Creative Writing | 1491 | — |
| EQ-Bench 4 | 1142 | — |
| LMArena Multi-Turn | 1488 | — |

## FAQ

### Is Gemini 3.1 Pro Preview better than Qwen3 Coder Next?

Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 34.3 on the Noometry Index. Qwen3 Coder Next costs 16× 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 Qwen3 Coder Next?

Qwen3 Coder Next is cheaper. It lists at $0.12 per million input tokens and $0.80 per million output tokens; Gemini 3.1 Pro Preview lists at $2 and $12.

### Is Gemini 3.1 Pro Preview or Qwen3 Coder Next better for coding?

Gemini 3.1 Pro Preview scores higher on coding benchmarks: 42.5 versus 36.3 in the Noometry coding category.

### Which has the bigger context window?

Gemini 3.1 Pro Preview does, with 1.05M tokens against 262K.

### How many benchmarks do Gemini 3.1 Pro Preview and Qwen3 Coder Next share?

3 benchmarks have published results for both models. Gemini 3.1 Pro Preview has 71 scored results on Noometry and Qwen3 Coder Next has 3.