Model comparison
Gemma 1.1 7b IT vs Qwen3 8B
Qwen3 8B is the stronger model overall, scoring 33.3 to 30.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
Google
Alibaba (Qwen)Summary
- The widest gap is in knowledge, where Qwen3 8B leads 36.1 to 27.8.
Side by side
| Gemma 1.1 7b IT | Qwen3 8B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 30.7 | 33.3 |
| Released | — | 2025-04 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.18 |
| Output $ / M tokens | — | $0.70 |
| Results tracked | 19 | 11 |
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Category by category
Coding Qwen3 8B leads
Gemma 1.1 7b IT: 31.0 (#279), Qwen3 8B: 33.4 (#245)
| Benchmark | Gemma 1.1 7b IT | Qwen3 8B |
|---|---|---|
| SciCode | — | 22.6% |
| LMArena Coding | 1084 | — |
| HumanEval+ | 35.4% | — |
| MBPP+ | 45% | — |
Agentic & Tool Use Not comparable
Gemma 1.1 7b IT: —, Qwen3 8B: 29.9 (#71)
| Benchmark | Gemma 1.1 7b IT | Qwen3 8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 42.6% |
Reasoning Gemma 1.1 7b IT leads
Gemma 1.1 7b IT: 19.6 (#235), Qwen3 8B: 16.1 (#299)
| Benchmark | Gemma 1.1 7b IT | Qwen3 8B |
|---|---|---|
| CritPt | — | 0% |
| Chess Puzzles | — | 5% |
| LMArena Hard Prompts | 1071 | — |
| DTBench | — | 59.7% |
| LMCA | — | 8.8% |
| Epoch Capabilities Index | — | 136.17 |
Math Qwen3 8B leads
Gemma 1.1 7b IT: 29.5 (#217), Qwen3 8B: 33.3 (#176)
| Benchmark | Gemma 1.1 7b IT | Qwen3 8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 56.1% |
| LMArena Math | 1107 | — |
Knowledge Qwen3 8B leads
Gemma 1.1 7b IT: 27.8 (#242), Qwen3 8B: 36.1 (#164)
| Benchmark | Gemma 1.1 7b IT | Qwen3 8B |
|---|---|---|
| GPQA Diamond | — | 56.8% |
| Vectara Hallucination Rate | — | 4.8% |
| LMArena Expert | 1039 | — |
Multilingual Not comparable
Gemma 1.1 7b IT: 28.3 (#268), Qwen3 8B: —
| Benchmark | Gemma 1.1 7b IT | Qwen3 8B |
|---|---|---|
| LMArena Non-English | 1052 | — |
| LMArena Chinese | 1060 | — |
| LMArena French | 1064 | — |
| LMArena German | 1054 | — |
| LMArena Japanese | 971 | — |
| LMArena Korean | 988 | — |
| LMArena Russian | 1046 | — |
| LMArena Spanish | 1049 | — |
Instruction Following Not comparable
Gemma 1.1 7b IT: 54.3 (#278), Qwen3 8B: —
| Benchmark | Gemma 1.1 7b IT | Qwen3 8B |
|---|---|---|
| LMArena Instruction Following | 1057 | — |
Long Context Qwen3 8B leads
Gemma 1.1 7b IT: 32.0 (#267), Qwen3 8B: 37.8 (#205)
| Benchmark | Gemma 1.1 7b IT | Qwen3 8B |
|---|---|---|
| Fiction.LiveBench | — | 62.1% |
| LMArena Longer Query | 1056 | — |
Writing & Preference Not comparable
Gemma 1.1 7b IT: 30.6 (#283), Qwen3 8B: —
| Benchmark | Gemma 1.1 7b IT | Qwen3 8B |
|---|---|---|
| LMArena Text | 1094 | — |
| LMArena Creative Writing | 1059 | — |
| LMArena Multi-Turn | 1040 | — |
Frequently asked questions
Is Gemma 1.1 7b IT better than Qwen3 8B?
Qwen3 8B is the stronger model overall, scoring 33.3 to 30.7 on the Noometry Index.
Is Gemma 1.1 7b IT or Qwen3 8B better for coding?
Qwen3 8B scores higher on coding benchmarks: 33.4 versus 31.0 in the Noometry coding category.
How many benchmarks do Gemma 1.1 7b IT and Qwen3 8B share?
0 benchmarks have published results for both models. Gemma 1.1 7b IT has 19 scored results on Noometry and Qwen3 8B has 11.