Model comparison
Gemma 2 27B vs gpt-oss-20b
gpt-oss-20b is the stronger model overall, scoring 32.5 to 29.4 on the Noometry Index.
Last verified . 21 shared benchmarks.
Summary
- They share 21 benchmarks with published results for both. Gemma 2 27B scores higher in 1 category and gpt-oss-20b in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where gpt-oss-20b leads 39.4 to 10.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 1.4% for Gemma 2 27B and 65.3% for gpt-oss-20b.
- gpt-oss-20b is cheaper at $0.018 / $0.09 per million input/output tokens, against $0.65 / $0.65 for Gemma 2 27B.
- gpt-oss-20b accepts more context: 131K tokens versus 8K.
Side by side
| Gemma 2 27B | gpt-oss-20b | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 29.4 | 32.5 |
| Released | 2024-06-24 | 2025-08-05 |
| Weights | Open | Open |
| Context window | 8K | 131K |
| Max output | 2K | 16K |
| Input $ / M tokens | $0.65 | $0.018 |
| Output $ / M tokens | $0.65 | $0.09 |
| Results tracked | 34 | 34 |
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Category by category
Coding gpt-oss-20b leads
Gemma 2 27B: 34.1 (#246), gpt-oss-20b: 37.6 (#192)
| Benchmark | Gemma 2 27B | gpt-oss-20b |
|---|---|---|
| LMArena Coding | 1211 | 1306 |
| SciCode | — | 34.4% |
| WeirdML | — | 40.9% |
| BigCodeBench Instruct | 42.8% | — |
| LiveBench Coding | 36% | — |
| BigCodeBench Complete | 52.5% | — |
| ALE-Bench | — | 566.05 |
Agentic & Tool Use Not comparable
Gemma 2 27B: —, gpt-oss-20b: 9.3 (#154)
| Benchmark | Gemma 2 27B | gpt-oss-20b |
|---|---|---|
| Terminal-Bench | — | 3.4% |
Reasoning gpt-oss-20b leads
Gemma 2 27B: 15.3 (#315), gpt-oss-20b: 19.3 (#261)
| Benchmark | Gemma 2 27B | gpt-oss-20b |
|---|---|---|
| LMArena Hard Prompts | 1198 | 1274 |
| DTBench | 48% | 68% |
| LMCA | 7.1% | 14.5% |
| Epoch Capabilities Index | 122.08 | 137.82 |
| Kagi LLM Benchmark | — | 53.2% |
| CritPt | — | 1.4% |
| Chess Puzzles | — | 4% |
| LiveBench Reasoning | 28.1% | — |
| LiveBench Data Analysis | 47.9% | — |
| LiveBench | 38.2% | — |
Math gpt-oss-20b leads
Gemma 2 27B: 10.7 (#311), gpt-oss-20b: 39.4 (#103)
| Benchmark | Gemma 2 27B | gpt-oss-20b |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.4% | 65.3% |
| LMArena Math | 1212 | 1317 |
| Omni-MATH | — | 56.5% |
| LiveBench Math | 26.5% | — |
| MATH Level 5 | 27.9% | — |
Knowledge gpt-oss-20b leads
Gemma 2 27B: 19.0 (#280), gpt-oss-20b: 34.6 (#195)
| Benchmark | Gemma 2 27B | gpt-oss-20b |
|---|---|---|
| GPQA Diamond | 36.5% | 60.8% |
| LMArena Expert | 1172 | 1258 |
| MMLU-Pro | — | 74% |
| Confabulations | 27.1% | — |
| GPQA (HELM) | — | 59.4% |
| MMLU | 75.7% | — |
Multilingual gpt-oss-20b leads
Gemma 2 27B: 38.6 (#226), gpt-oss-20b: 42.2 (#197)
| Benchmark | Gemma 2 27B | gpt-oss-20b |
|---|---|---|
| LMArena Non-English | 1217 | 1268 |
| LMArena Chinese | 1221 | 1314 |
| LMArena German | 1209 | 1255 |
| LMArena Japanese | 1175 | 1244 |
| LMArena Korean | 1174 | 1236 |
| LMArena Russian | 1234 | 1278 |
| LMArena Spanish | 1228 | 1267 |
| LMArena French | 1247 | — |
Instruction Following gpt-oss-20b leads
Gemma 2 27B: 60.5 (#249), gpt-oss-20b: 61.8 (#240)
| Benchmark | Gemma 2 27B | gpt-oss-20b |
|---|---|---|
| LMArena Instruction Following | 1206 | 1236 |
| LiveBench Instruction Following | 58.1% | — |
| IFEval | — | 73.2% |
Long Context Too close to call
Gemma 2 27B: 37.3 (#218), gpt-oss-20b: 37.9 (#209)
| Benchmark | Gemma 2 27B | gpt-oss-20b |
|---|---|---|
| LMArena Longer Query | 1231 | 1250 |
Writing & Preference Gemma 2 27B leads
Gemma 2 27B: 44.2 (#225), gpt-oss-20b: 35.5 (#265)
| Benchmark | Gemma 2 27B | gpt-oss-20b |
|---|---|---|
| LMArena Text | 1231 | 1287 |
| LMArena Creative Writing | 1241 | 1201 |
| LMArena Multi-Turn | 1224 | 1268 |
| EQ-Bench Creative Writing | — | 666 |
| WildBench | — | 73.7% |
| LiveBench Language | 32.6% | — |
Frequently asked questions
Is Gemma 2 27B better than gpt-oss-20b?
gpt-oss-20b is the stronger model overall, scoring 32.5 to 29.4 on the Noometry Index.
Which is cheaper, Gemma 2 27B or gpt-oss-20b?
gpt-oss-20b is cheaper. It lists at $0.018 per million input tokens and $0.09 per million output tokens; Gemma 2 27B lists at $0.65 and $0.65.
Is Gemma 2 27B or gpt-oss-20b better for coding?
gpt-oss-20b scores higher on coding benchmarks: 37.6 versus 34.1 in the Noometry coding category.
Which has the bigger context window?
gpt-oss-20b does, with 131K tokens against 8K.
How many benchmarks do Gemma 2 27B and gpt-oss-20b share?
21 benchmarks have published results for both models. Gemma 2 27B has 34 scored results on Noometry and gpt-oss-20b has 34.