Model comparison
Gemma 2 27B vs Qwen Turbo
Gemma 2 27B is the stronger model overall, scoring 29.4 to 27.1 on the Noometry Index. Qwen Turbo costs 7.4× less per token, which makes it the better buy when Gemma 2 27B's lead doesn't matter for your workload.
Last verified . 3 shared benchmarks.
Summary
- They share 3 benchmarks with published results for both. Gemma 2 27B scores higher in 0 categories and Qwen Turbo in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen Turbo leads 15.3 to 10.7.
- The biggest single-benchmark swing is MATH Level 5: 27.9% for Gemma 2 27B and 56.2% for Qwen Turbo.
- Qwen Turbo is cheaper at $0.05 / $0.20 per million input/output tokens, against $0.65 / $0.65 for Gemma 2 27B.
- Qwen Turbo accepts more context: 1M tokens versus 8K.
- Gemma 2 27B has downloadable open weights; the other is API-only.
Side by side
| Gemma 2 27B | Qwen Turbo | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 29.4 | 27.1 |
| Released | 2024-06-24 | 2024-11-01 |
| Weights | Open | Proprietary |
| Context window | 8K | 1M |
| Max output | 2K | 16K |
| Input $ / M tokens | $0.65 | $0.05 |
| Output $ / M tokens | $0.65 | $0.20 |
| Results tracked | 34 | 3 |
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Category by category
Coding Not comparable
Gemma 2 27B: 34.1 (#246), Qwen Turbo: —
| Benchmark | Gemma 2 27B | Qwen Turbo |
|---|---|---|
| BigCodeBench Instruct | 42.8% | — |
| LiveBench Coding | 36% | — |
| LMArena Coding | 1211 | — |
| BigCodeBench Complete | 52.5% | — |
Reasoning Not comparable
Gemma 2 27B: 15.3 (#315), Qwen Turbo: —
| Benchmark | Gemma 2 27B | Qwen Turbo |
|---|---|---|
| LiveBench Reasoning | 28.1% | — |
| LMArena Hard Prompts | 1198 | — |
| DTBench | 48% | — |
| LiveBench Data Analysis | 47.9% | — |
| LMCA | 7.1% | — |
| Epoch Capabilities Index | 122.08 | — |
| LiveBench | 38.2% | — |
Math Qwen Turbo leads
Gemma 2 27B: 10.7 (#311), Qwen Turbo: 15.3 (#297)
| Benchmark | Gemma 2 27B | Qwen Turbo |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.4% | 6.1% |
| MATH Level 5 | 27.9% | 56.2% |
| LiveBench Math | 26.5% | — |
| LMArena Math | 1212 | — |
Knowledge Qwen Turbo leads
Gemma 2 27B: 19.0 (#280), Qwen Turbo: 22.2 (#272)
| Benchmark | Gemma 2 27B | Qwen Turbo |
|---|---|---|
| GPQA Diamond | 36.5% | 41.8% |
| Confabulations | 27.1% | — |
| LMArena Expert | 1172 | — |
| MMLU | 75.7% | — |
Multilingual Not comparable
Gemma 2 27B: 38.6 (#226), Qwen Turbo: —
| Benchmark | Gemma 2 27B | Qwen Turbo |
|---|---|---|
| LMArena Non-English | 1217 | — |
| LMArena Chinese | 1221 | — |
| LMArena French | 1247 | — |
| LMArena German | 1209 | — |
| LMArena Japanese | 1175 | — |
| LMArena Korean | 1174 | — |
| LMArena Russian | 1234 | — |
| LMArena Spanish | 1228 | — |
Instruction Following Not comparable
Gemma 2 27B: 60.5 (#249), Qwen Turbo: —
| Benchmark | Gemma 2 27B | Qwen Turbo |
|---|---|---|
| LiveBench Instruction Following | 58.1% | — |
| LMArena Instruction Following | 1206 | — |
Long Context Not comparable
Gemma 2 27B: 37.3 (#218), Qwen Turbo: —
| Benchmark | Gemma 2 27B | Qwen Turbo |
|---|---|---|
| LMArena Longer Query | 1231 | — |
Writing & Preference Not comparable
Gemma 2 27B: 44.2 (#225), Qwen Turbo: —
| Benchmark | Gemma 2 27B | Qwen Turbo |
|---|---|---|
| LMArena Text | 1231 | — |
| LMArena Creative Writing | 1241 | — |
| LMArena Multi-Turn | 1224 | — |
| LiveBench Language | 32.6% | — |
Frequently asked questions
Is Gemma 2 27B better than Qwen Turbo?
Gemma 2 27B is the stronger model overall, scoring 29.4 to 27.1 on the Noometry Index. Qwen Turbo costs 7.4× less per token, which makes it the better buy when Gemma 2 27B's lead doesn't matter for your workload.
Which is cheaper, Gemma 2 27B or Qwen Turbo?
Qwen Turbo is cheaper. It lists at $0.05 per million input tokens and $0.20 per million output tokens; Gemma 2 27B lists at $0.65 and $0.65.
Which has the bigger context window?
Qwen Turbo does, with 1M tokens against 8K.
How many benchmarks do Gemma 2 27B and Qwen Turbo share?
3 benchmarks have published results for both models. Gemma 2 27B has 34 scored results on Noometry and Qwen Turbo has 3.