Model comparison
Gemma 7B vs Qwen3.8 27B
Qwen3.8 27B is the stronger model overall, scoring 46.0 to 30.0 on the Noometry Index.
Last verified . 14 shared benchmarks.
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Alibaba (Qwen)Summary
- They share 14 benchmarks with published results for both. Gemma 7B scores higher in 0 categories and Qwen3.8 27B in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.8 27B leads 65.8 to 27.1.
Side by side
| Gemma 7B | Qwen3.8 27B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 30.0 | 46.0 |
| Released | 2024-02-21 | 2026-08-14 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.04 |
| Output $ / M tokens | — | $2.30 |
| Results tracked | 27 | 31 |
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Category by category
Coding Qwen3.8 27B leads
Gemma 7B: 30.5 (#294), Qwen3.8 27B: 50.5 (#44)
| Benchmark | Gemma 7B | Qwen3.8 27B |
|---|---|---|
| LMArena Coding | 1048 | 1482 |
| LMArena WebDev | — | 1593 |
| SciCode | — | 46.6% |
| HumanEval+ | 28.7% | — |
| MBPP+ | 43.4% | — |
Agentic & Tool Use Not comparable
Gemma 7B: —, Qwen3.8 27B: 32.9 (#57)
| Benchmark | Gemma 7B | Qwen3.8 27B |
|---|---|---|
| APEX-Agents | — | 47.5% |
Reasoning Qwen3.8 27B leads
Gemma 7B: 19.9 (#249), Qwen3.8 27B: 41.0 (#54)
| Benchmark | Gemma 7B | Qwen3.8 27B |
|---|---|---|
| LMArena Hard Prompts | 1042 | 1460 |
| Epoch Capabilities Index | 111.99 | 149.38 |
| ARC-AGI-2 | — | 42.4% |
| NYT Connections (extended) | — | 54.5% |
| ARC-AGI-1 | — | 87.5% |
| CritPt | — | 5.4% |
| DTBench | — | 88% |
| LMCA | — | 41.4% |
| Surface Evolver Bench | — | 45% |
| Adversarial NLI | 48.7% | — |
| BIG-Bench Hard | 55.1% | — |
| HellaSwag | 82.2% | — |
| PIQA | 81.2% | — |
| WinoGrande | 79% | — |
Math Qwen3.8 27B leads
Gemma 7B: 31.2 (#228), Qwen3.8 27B: 37.1 (#161)
| Benchmark | Gemma 7B | Qwen3.8 27B |
|---|---|---|
| LMArena Math | 1066 | 1456 |
| ProofBench | — | 16% |
| GSM8K | 46.4% | — |
Knowledge Qwen3.8 27B leads
Gemma 7B: 27.3 (#252), Qwen3.8 27B: 41.6 (#109)
| Benchmark | Gemma 7B | Qwen3.8 27B |
|---|---|---|
| LMArena Expert | 1001 | 1482 |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 83.2% | — |
| MMLU | 66.1% | — |
| OpenBookQA | 78.6% | — |
| TriviaQA | 72.3% | — |
Multimodal Not comparable
Gemma 7B: —, Qwen3.8 27B: 41.3 (#37)
| Benchmark | Gemma 7B | Qwen3.8 27B |
|---|---|---|
| LMArena Vision | — | 1271 |
Multilingual Qwen3.8 27B leads
Gemma 7B: 25.1 (#287), Qwen3.8 27B: 53.7 (#60)
| Benchmark | Gemma 7B | Qwen3.8 27B |
|---|---|---|
| LMArena Non-English | 999 | 1430 |
| LMArena Chinese | 1035 | 1504 |
| LMArena French | 1025 | 1465 |
| LMArena Russian | 993 | 1415 |
| LMArena German | — | 1438 |
| LMArena Japanese | — | 1384 |
| LMArena Korean | — | 1393 |
| LMArena Spanish | — | 1448 |
Instruction Following Qwen3.8 27B leads
Gemma 7B: 51.5 (#295), Qwen3.8 27B: 75.8 (#53)
| Benchmark | Gemma 7B | Qwen3.8 27B |
|---|---|---|
| LMArena Instruction Following | 1017 | 1439 |
Long Context Qwen3.8 27B leads
Gemma 7B: 31.1 (#282), Qwen3.8 27B: 44.3 (#70)
| Benchmark | Gemma 7B | Qwen3.8 27B |
|---|---|---|
| LMArena Longer Query | 1022 | 1450 |
Writing & Preference Qwen3.8 27B leads
Gemma 7B: 27.1 (#302), Qwen3.8 27B: 65.8 (#43)
| Benchmark | Gemma 7B | Qwen3.8 27B |
|---|---|---|
| LMArena Text | 1056 | 1441 |
| LMArena Creative Writing | 1024 | 1384 |
| LMArena Multi-Turn | 963 | 1441 |
| EQ-Bench Creative Writing | — | 1671 |
Frequently asked questions
Is Gemma 7B better than Qwen3.8 27B?
Qwen3.8 27B is the stronger model overall, scoring 46.0 to 30.0 on the Noometry Index.
Is Gemma 7B or Qwen3.8 27B better for coding?
Qwen3.8 27B scores higher on coding benchmarks: 50.5 versus 30.5 in the Noometry coding category.
How many benchmarks do Gemma 7B and Qwen3.8 27B share?
14 benchmarks have published results for both models. Gemma 7B has 27 scored results on Noometry and Qwen3.8 27B has 31.