# Gemma 4 31B IT vs Qwen3-1.7B

> Gemma 4 31B IT is the stronger model overall, scoring 43.5 to 26.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemma-4-31b-it-vs-qwen3-1-7b
- Last updated: 2026-10-10
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. Gemma 4 31B IT scores higher in 3 categories and Qwen3-1.7B in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemma 4 31B IT leads 43.2 to 16.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 73.3% for Gemma 4 31B IT and 8.1% for Qwen3-1.7B.

## Snapshot

| | Gemma 4 31B IT | Qwen3-1.7B |
|---|---|---|
| Provider | Google | Alibaba (Qwen) |
| Noometry Index | 43.5 | 26.6 |
| Rank | 90 | 336 |
| Context | 262K | — |
| Input $/M | $0.09 | — |
| Output $/M | $0.34 | — |
| Weights | Open | Open |

## Coding

- Gemma 4 31B IT: 42.3 (#108)
- Qwen3-1.7B: —

| Benchmark | Gemma 4 31B IT | Qwen3-1.7B |
|---|---|---|
| LMArena WebDev | 1366 | — |
| SciCode | 43.4% | — |
| WeirdML | 52.3% | — |
| LMArena Coding | 1459 | — |
| ALE-Bench | 925.5 | — |

## Agentic & Tool Use

- Gemma 4 31B IT: —
- Qwen3-1.7B: 24.7 (#115)

| Benchmark | Gemma 4 31B IT | Qwen3-1.7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.4% |

## Reasoning

- Gemma 4 31B IT: 27.2 (#122)
- Qwen3-1.7B: 19.2 (#267)

| Benchmark | Gemma 4 31B IT | Qwen3-1.7B |
|---|---|---|
| Chess Puzzles | 5% | 0% |
| Kagi LLM Benchmark | 63.5% | — |
| NYT Connections (extended) | 70.6% | — |
| CritPt | 1.4% | — |
| Thematic Generalization | 53% | — |
| LMArena Hard Prompts | 1448 | — |
| DTBench | 82.7% | — |
| LMCA | 39.3% | — |
| Surface Evolver Bench | 30.6% | — |
| Epoch Capabilities Index | 142.74 | — |

## Math

- Gemma 4 31B IT: 43.2 (#81)
- Qwen3-1.7B: 16.3 (#294)

| Benchmark | Gemma 4 31B IT | Qwen3-1.7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 73.3% | 8.1% |
| LMArena Math | 1465 | — |

## Knowledge

- Gemma 4 31B IT: 37.9 (#151)
- Qwen3-1.7B: 19.6 (#278)

| Benchmark | Gemma 4 31B IT | Qwen3-1.7B |
|---|---|---|
| GPQA Diamond | 75.8% | 38% |
| SimpleQA Verified | 10.4% | — |
| Vectara Hallucination Rate | 7.4% | — |
| LMArena Expert | 1465 | — |

## Multimodal

- Gemma 4 31B IT: 41.6 (#34)
- Qwen3-1.7B: —

| Benchmark | Gemma 4 31B IT | Qwen3-1.7B |
|---|---|---|
| LMArena Vision | 1277 | — |
| LMArena Document | 1425 | — |

## Multilingual

- Gemma 4 31B IT: 53.8 (#57)
- Qwen3-1.7B: —

| Benchmark | Gemma 4 31B IT | Qwen3-1.7B |
|---|---|---|
| LMArena Non-English | 1431 | — |
| LMArena Chinese | 1476 | — |
| LMArena French | 1435 | — |
| LMArena Russian | 1460 | — |
| LMArena Spanish | 1444 | — |

## Instruction Following

- Gemma 4 31B IT: 75.5 (#61)
- Qwen3-1.7B: —

| Benchmark | Gemma 4 31B IT | Qwen3-1.7B |
|---|---|---|
| LMArena Instruction Following | 1433 | — |

## Long Context

- Gemma 4 31B IT: 44.2 (#71)
- Qwen3-1.7B: —

| Benchmark | Gemma 4 31B IT | Qwen3-1.7B |
|---|---|---|
| LMArena Longer Query | 1446 | — |

## Writing & Preference

- Gemma 4 31B IT: 60.5 (#96)
- Qwen3-1.7B: —

| Benchmark | Gemma 4 31B IT | Qwen3-1.7B |
|---|---|---|
| LMArena Text | 1443 | — |
| LMArena Creative Writing | 1415 | — |
| EQ-Bench Creative Writing | 1368 | — |
| EQ-Bench 4 | 1120 | — |
| LMArena Multi-Turn | 1452 | — |

## FAQ

### Is Gemma 4 31B IT better than Qwen3-1.7B?

Gemma 4 31B IT is the stronger model overall, scoring 43.5 to 26.6 on the Noometry Index.

### How many benchmarks do Gemma 4 31B IT and Qwen3-1.7B share?

3 benchmarks have published results for both models. Gemma 4 31B IT has 35 scored results on Noometry and Qwen3-1.7B has 4.