Model comparison
Gemma 2 27B vs Qwen3-Coder 480B-A35B Instruct
Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 38.1 to 29.4 on the Noometry Index. Gemma 2 27B costs 4.6× less per token, which makes it the better buy when Qwen3-Coder 480B-A35B Instruct's lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
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Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Gemma 2 27B scores higher in 0 categories and Qwen3-Coder 480B-A35B Instruct in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3-Coder 480B-A35B Instruct leads 37.6 to 10.7.
- Gemma 2 27B is cheaper at $0.65 / $0.65 per million input/output tokens, against $1.50 / $7.50 for Qwen3-Coder 480B-A35B Instruct.
- Qwen3-Coder 480B-A35B Instruct accepts more context: 262K tokens versus 8K.
Side by side
| Gemma 2 27B | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 29.4 | 38.1 |
| Released | 2024-06-24 | 2025-04 |
| Weights | Open | Open |
| Context window | 8K | 262K |
| Max output | 2K | 66K |
| Input $ / M tokens | $0.65 | $1.50 |
| Output $ / M tokens | $0.65 | $7.50 |
| Results tracked | 34 | 25 |
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Category by category
Coding Qwen3-Coder 480B-A35B Instruct leads
Gemma 2 27B: 34.1 (#246), Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)
| Benchmark | Gemma 2 27B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Coding | 1211 | 1412 |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1275 |
| GSO | — | 4.9% |
| WeirdML | — | 41.2% |
| BigCodeBench Instruct | 42.8% | — |
| LiveBench Coding | 36% | — |
| BigCodeBench Complete | 52.5% | — |
| ALE-Bench | — | 461.45 |
| AlgoTune | — | 1.44 |
Agentic & Tool Use Not comparable
Gemma 2 27B: —, Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)
| Benchmark | Gemma 2 27B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
Reasoning Qwen3-Coder 480B-A35B Instruct leads
Gemma 2 27B: 15.3 (#315), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)
| Benchmark | Gemma 2 27B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1198 | 1372 |
| Kagi LLM Benchmark | — | 49.5% |
| LiveBench Reasoning | 28.1% | — |
| DTBench | 48% | — |
| LiveBench Data Analysis | 47.9% | — |
| LMCA | 7.1% | — |
| Epoch Capabilities Index | 122.08 | — |
| LiveBench | 38.2% | — |
Math Qwen3-Coder 480B-A35B Instruct leads
Gemma 2 27B: 10.7 (#311), Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)
| Benchmark | Gemma 2 27B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1212 | 1365 |
| OTIS Mock AIME 2024-2025 | 1.4% | — |
| LiveBench Math | 26.5% | — |
| MATH Level 5 | 27.9% | — |
Knowledge Qwen3-Coder 480B-A35B Instruct leads
Gemma 2 27B: 19.0 (#280), Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)
| Benchmark | Gemma 2 27B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1172 | 1338 |
| GPQA Diamond | 36.5% | — |
| Confabulations | 27.1% | — |
| MMLU | 75.7% | — |
Multilingual Qwen3-Coder 480B-A35B Instruct leads
Gemma 2 27B: 38.6 (#226), Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)
| Benchmark | Gemma 2 27B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1217 | 1346 |
| LMArena Chinese | 1221 | 1357 |
| LMArena French | 1247 | 1398 |
| LMArena German | 1209 | 1325 |
| LMArena Japanese | 1175 | 1310 |
| LMArena Korean | 1174 | 1305 |
| LMArena Russian | 1234 | 1366 |
| LMArena Spanish | 1228 | 1360 |
Instruction Following Qwen3-Coder 480B-A35B Instruct leads
Gemma 2 27B: 60.5 (#249), Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)
| Benchmark | Gemma 2 27B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1206 | 1355 |
| LiveBench Instruction Following | 58.1% | — |
Long Context Qwen3-Coder 480B-A35B Instruct leads
Gemma 2 27B: 37.3 (#218), Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)
| Benchmark | Gemma 2 27B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1231 | 1378 |
Writing & Preference Qwen3-Coder 480B-A35B Instruct leads
Gemma 2 27B: 44.2 (#225), Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)
| Benchmark | Gemma 2 27B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1231 | 1357 |
| LMArena Creative Writing | 1241 | 1333 |
| LMArena Multi-Turn | 1224 | 1365 |
| LiveBench Language | 32.6% | — |
Frequently asked questions
Is Gemma 2 27B better than Qwen3-Coder 480B-A35B Instruct?
Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 38.1 to 29.4 on the Noometry Index. Gemma 2 27B costs 4.6× less per token, which makes it the better buy when Qwen3-Coder 480B-A35B Instruct's lead doesn't matter for your workload.
Which is cheaper, Gemma 2 27B or Qwen3-Coder 480B-A35B Instruct?
Gemma 2 27B is cheaper. It lists at $0.65 per million input tokens and $0.65 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.
Is Gemma 2 27B or Qwen3-Coder 480B-A35B Instruct better for coding?
Qwen3-Coder 480B-A35B Instruct scores higher on coding benchmarks: 35.5 versus 34.1 in the Noometry coding category.
Which has the bigger context window?
Qwen3-Coder 480B-A35B Instruct does, with 262K tokens against 8K.
How many benchmarks do Gemma 2 27B and Qwen3-Coder 480B-A35B Instruct share?
17 benchmarks have published results for both models. Gemma 2 27B has 34 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.