Model comparison
Gemma 2 27B vs GPT-4.1 mini
GPT-4.1 mini is the stronger model overall, scoring 33.6 to 29.4 on the Noometry Index.
Last verified . 24 shared benchmarks.
Summary
- They share 24 benchmarks with published results for both. Gemma 2 27B scores higher in 3 categories and GPT-4.1 mini in 5 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-4.1 mini leads 34.7 to 19.0.
- The biggest single-benchmark swing is MATH Level 5: 27.9% for Gemma 2 27B and 87.3% for GPT-4.1 mini.
- Gemma 2 27B is cheaper at $0.65 / $0.65 per million input/output tokens, against $0.40 / $1.60 for GPT-4.1 mini.
- GPT-4.1 mini accepts more context: 1.05M tokens versus 8K.
- Gemma 2 27B has downloadable open weights; the other is API-only.
Side by side
| Gemma 2 27B | GPT-4.1 mini | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 29.4 | 33.6 |
| Released | 2024-06-24 | 2025-04-14 |
| Weights | Open | Proprietary |
| Context window | 8K | 1.05M |
| Max output | 2K | 33K |
| Input $ / M tokens | $0.65 | $0.40 |
| Output $ / M tokens | $0.65 | $1.60 |
| Results tracked | 34 | 47 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Gemma 2 27B leads
Gemma 2 27B: 34.1 (#246), GPT-4.1 mini: 30.6 (#293)
| Benchmark | Gemma 2 27B | GPT-4.1 mini |
|---|---|---|
| BigCodeBench Instruct | 42.8% | 48.9% |
| LMArena Coding | 1211 | 1367 |
| SWE-bench Verified (bash only) | — | 23.9% |
| Aider Polyglot | — | 32.4% |
| SciCode | — | 40.4% |
| WeirdML | — | 37.6% |
| LiveBench Coding | 36% | — |
| BigCodeBench Complete | 52.5% | — |
| CadEval | — | 16% |
Agentic & Tool Use Not comparable
Gemma 2 27B: —, GPT-4.1 mini: 33.3 (#55)
| Benchmark | Gemma 2 27B | GPT-4.1 mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 50.5% |
Reasoning Gemma 2 27B leads
Gemma 2 27B: 15.3 (#315), GPT-4.1 mini: 10.8 (#340)
| Benchmark | Gemma 2 27B | GPT-4.1 mini |
|---|---|---|
| LMArena Hard Prompts | 1198 | 1349 |
| DTBench | 48% | 68.8% |
| LMCA | 7.1% | 21.1% |
| Epoch Capabilities Index | 122.08 | 135.01 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 48.6% |
| ARC-AGI-1 | — | 3.5% |
| CritPt | — | 0% |
| Chess Puzzles | — | 7% |
| LiveBench Reasoning | 28.1% | — |
| Mystery Game Puzzles | — | 7% |
| LiveBench Data Analysis | 47.9% | — |
| LiveBench | 38.2% | — |
Math GPT-4.1 mini leads
Gemma 2 27B: 10.7 (#311), GPT-4.1 mini: 24.1 (#270)
| Benchmark | Gemma 2 27B | GPT-4.1 mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.4% | 44.7% |
| LMArena Math | 1212 | 1343 |
| MATH Level 5 | 27.9% | 87.3% |
| FrontierMath (Tiers 1-3) | — | 6.7% |
| Omni-MATH | — | 49.1% |
| LiveBench Math | 26.5% | — |
| FrontierMath (Feb 2025 set) | — | 4.5% |
Knowledge GPT-4.1 mini leads
Gemma 2 27B: 19.0 (#280), GPT-4.1 mini: 34.7 (#194)
| Benchmark | Gemma 2 27B | GPT-4.1 mini |
|---|---|---|
| GPQA Diamond | 36.5% | 65.8% |
| LMArena Expert | 1172 | 1338 |
| SimpleQA Verified | — | 12.7% |
| MMLU-Pro | — | 78.3% |
| Confabulations | 27.1% | — |
| GPQA (HELM) | — | 61.4% |
| MMLU | 75.7% | — |
Multimodal Not comparable
Gemma 2 27B: —, GPT-4.1 mini: 35.8 (#82)
| Benchmark | Gemma 2 27B | GPT-4.1 mini |
|---|---|---|
| LMArena Vision | — | 1181 |
Multilingual GPT-4.1 mini leads
Gemma 2 27B: 38.6 (#226), GPT-4.1 mini: 45.7 (#166)
| Benchmark | Gemma 2 27B | GPT-4.1 mini |
|---|---|---|
| LMArena Non-English | 1217 | 1318 |
| LMArena Chinese | 1221 | 1329 |
| LMArena French | 1247 | 1358 |
| LMArena German | 1209 | 1351 |
| LMArena Japanese | 1175 | 1290 |
| LMArena Korean | 1174 | 1298 |
| LMArena Russian | 1234 | 1324 |
| LMArena Spanish | 1228 | 1319 |
Instruction Following GPT-4.1 mini leads
Gemma 2 27B: 60.5 (#249), GPT-4.1 mini: 73.7 (#118)
| Benchmark | Gemma 2 27B | GPT-4.1 mini |
|---|---|---|
| LMArena Instruction Following | 1206 | 1333 |
| LiveBench Instruction Following | 58.1% | — |
| IFEval | — | 90.4% |
Long Context Gemma 2 27B leads
Gemma 2 27B: 37.3 (#218), GPT-4.1 mini: 31.8 (#275)
| Benchmark | Gemma 2 27B | GPT-4.1 mini |
|---|---|---|
| LMArena Longer Query | 1231 | 1344 |
| Fiction.LiveBench | — | 44.4% |
Writing & Preference GPT-4.1 mini leads
Gemma 2 27B: 44.2 (#225), GPT-4.1 mini: 48.6 (#199)
| Benchmark | Gemma 2 27B | GPT-4.1 mini |
|---|---|---|
| LMArena Text | 1231 | 1340 |
| LMArena Creative Writing | 1241 | 1300 |
| LMArena Multi-Turn | 1224 | 1354 |
| EQ-Bench Creative Writing | — | 1147 |
| WildBench | — | 83.8% |
| LiveBench Language | 32.6% | — |
Frequently asked questions
Is Gemma 2 27B better than GPT-4.1 mini?
GPT-4.1 mini is the stronger model overall, scoring 33.6 to 29.4 on the Noometry Index.
Which is cheaper, Gemma 2 27B or GPT-4.1 mini?
Gemma 2 27B is cheaper. It lists at $0.65 per million input tokens and $0.65 per million output tokens; GPT-4.1 mini lists at $0.40 and $1.60.
Is Gemma 2 27B or GPT-4.1 mini better for coding?
Gemma 2 27B scores higher on coding benchmarks: 34.1 versus 30.6 in the Noometry coding category.
Which has the bigger context window?
GPT-4.1 mini does, with 1.05M tokens against 8K.
How many benchmarks do Gemma 2 27B and GPT-4.1 mini share?
24 benchmarks have published results for both models. Gemma 2 27B has 34 scored results on Noometry and GPT-4.1 mini has 47.