# Gemma 2B vs Qwen3-Next 80B-A3B Instruct

> Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 42.5 to 29.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemma-2b-vs-qwen3-next-80b-a3b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 11

## Summary

- They share 11 benchmarks with published results for both. Gemma 2B scores higher in 0 categories and Qwen3-Next 80B-A3B Instruct in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3-Next 80B-A3B Instruct leads 58.2 to 24.1.

## Snapshot

| | Gemma 2B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Provider | Google | Alibaba (Qwen) |
| Noometry Index | 29.1 | 42.5 |
| Rank | 305 | 100 |
| Context | — | 131K |
| Input $/M | — | $0.50 |
| Output $/M | — | $2 |
| Weights | Open | Open |

## Coding

- Gemma 2B: 28.9 (#300)
- Qwen3-Next 80B-A3B Instruct: 41.9 (#101)

| Benchmark | Gemma 2B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | 1010 | 1441 |
| HumanEval+ | 20.7% | — |
| MBPP+ | 34.1% | — |

## Reasoning

- Gemma 2B: 17.9 (#275)
- Qwen3-Next 80B-A3B Instruct: 30.1 (#79)

| Benchmark | Gemma 2B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Hard Prompts | 989 | 1428 |
| Kagi LLM Benchmark | — | 66.7% |
| BIG-Bench Hard | 35.2% | — |
| Epoch Capabilities Index | 93.57 | — |
| HellaSwag | 71.4% | — |
| PIQA | 77.3% | — |
| WinoGrande | 65.4% | — |

## Math

- Gemma 2B: 27.6 (#237)
- Qwen3-Next 80B-A3B Instruct: 36.3 (#118)

| Benchmark | Gemma 2B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Math | 1009 | 1440 |
| Omni-MATH | — | 46.7% |
| GSM8K | 17.7% | — |

## Knowledge

- Gemma 2B: —
- Qwen3-Next 80B-A3B Instruct: 41.3 (#102)

| Benchmark | Gemma 2B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| MMLU-Pro | — | 78.6% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 63% |
| LMArena Expert | — | 1416 |
| ARC (AI2) Challenge | 42.1% | — |
| BoolQ | 69.4% | — |
| MMLU | 42.3% | — |
| TriviaQA | 53.2% | — |

## Multilingual

- Gemma 2B: 23.1 (#289)
- Qwen3-Next 80B-A3B Instruct: 52.3 (#88)

| Benchmark | Gemma 2B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | 958 | 1407 |
| LMArena Chinese | 986 | 1461 |
| LMArena Russian | 937 | 1403 |
| LMArena French | — | 1415 |
| LMArena German | — | 1416 |
| LMArena Japanese | — | 1398 |
| LMArena Korean | — | 1366 |
| LMArena Spanish | — | 1436 |

## Instruction Following

- Gemma 2B: 48.8 (#297)
- Qwen3-Next 80B-A3B Instruct: 71.0 (#154)

| Benchmark | Gemma 2B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Instruction Following | 971 | 1388 |
| IFEval | — | 81% |

## Long Context

- Gemma 2B: 29.9 (#286)
- Qwen3-Next 80B-A3B Instruct: 37.0 (#218)

| Benchmark | Gemma 2B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Longer Query | 981 | 1403 |
| Fiction.LiveBench | — | 55.6% |

## Writing & Preference

- Gemma 2B: 24.1 (#303)
- Qwen3-Next 80B-A3B Instruct: 58.2 (#116)

| Benchmark | Gemma 2B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | 1002 | 1417 |
| LMArena Creative Writing | 986 | 1333 |
| LMArena Multi-Turn | 945 | 1415 |
| WildBench | — | 80.7% |

## FAQ

### Is Gemma 2B better than Qwen3-Next 80B-A3B Instruct?

Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 42.5 to 29.1 on the Noometry Index.

### Is Gemma 2B or Qwen3-Next 80B-A3B Instruct better for coding?

Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 41.9 versus 28.9 in the Noometry coding category.

### How many benchmarks do Gemma 2B and Qwen3-Next 80B-A3B Instruct share?

11 benchmarks have published results for both models. Gemma 2B has 23 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.