Model comparison
Gemma 3 27B vs Mistral Small 3.1
Gemma 3 27B and Mistral Small 3.1 score almost the same on the Noometry Index (30.8 vs 31.7), so choose on price, context window or the category you care about most.
Last verified . 23 shared benchmarks.
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Mistral AISummary
- They share 23 benchmarks with published results for both. Gemma 3 27B scores higher in 5 categories and Mistral Small 3.1 in 4 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where Mistral Small 3.1 leads 38.3 to 22.5.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 22.5% for Gemma 3 27B and 3.9% for Mistral Small 3.1.
- Gemma 3 27B is cheaper at $0.08 / $0.16 per million input/output tokens, against $0.35 / $0.56 for Mistral Small 3.1.
- Gemma 3 27B accepts more context: 131K tokens versus 128K.
Side by side
| Gemma 3 27B | Mistral Small 3.1 | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 30.8 | 31.7 |
| Released | 2025-03-11 | 2025-03-17 |
| Weights | Open | Open |
| Context window | 131K | 128K |
| Max output | 8K | 102K |
| Input $ / M tokens | $0.08 | $0.35 |
| Output $ / M tokens | $0.16 | $0.56 |
| Results tracked | 43 | 28 |
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Category by category
Coding Mistral Small 3.1 leads
Gemma 3 27B: 22.5 (#334), Mistral Small 3.1: 38.3 (#179)
| Benchmark | Gemma 3 27B | Mistral Small 3.1 |
|---|---|---|
| LMArena Coding | 1322 | 1309 |
| Aider Polyglot | 4.9% | — |
| SciCode | 21.2% | — |
| LiveBench Coding | 39.9% | — |
Agentic & Tool Use Not comparable
Gemma 3 27B: 25.1 (#110), Mistral Small 3.1: —
| Benchmark | Gemma 3 27B | Mistral Small 3.1 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 29.5% | — |
Reasoning Mistral Small 3.1 leads
Gemma 3 27B: 16.7 (#301), Mistral Small 3.1: 19.7 (#254)
| Benchmark | Gemma 3 27B | Mistral Small 3.1 |
|---|---|---|
| Chess Puzzles | 0% | 1% |
| LMArena Hard Prompts | 1340 | 1278 |
| Epoch Capabilities Index | 130.04 | 127.48 |
| Kagi LLM Benchmark | 40.4% | — |
| CritPt | 0% | — |
| LiveBench Reasoning | 43.8% | — |
| DTBench | 52.5% | — |
| LiveBench Data Analysis | 51.5% | — |
| LMCA | 12.3% | — |
| LiveBench | 50% | — |
Math Gemma 3 27B leads
Gemma 3 27B: 25.9 (#265), Mistral Small 3.1: 14.7 (#301)
| Benchmark | Gemma 3 27B | Mistral Small 3.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 22.5% | 3.9% |
| LMArena Math | 1312 | 1262 |
| Omni-MATH | — | 24.8% |
| LiveBench Math | 55.4% | — |
| MATH Level 5 | 74% | — |
Knowledge Gemma 3 27B leads
Gemma 3 27B: 25.5 (#261), Mistral Small 3.1: 22.6 (#271)
| Benchmark | Gemma 3 27B | Mistral Small 3.1 |
|---|---|---|
| GPQA Diamond | 47.7% | 41.9% |
| LMArena Expert | 1304 | 1257 |
| MMLU-Pro | — | 61% |
| Confabulations | 40.3% | — |
| Vectara Hallucination Rate | 7.4% | — |
| GPQA (HELM) | — | 39.2% |
Multimodal Too close to call
Gemma 3 27B: 32.6 (#100), Mistral Small 3.1: 33.2 (#99)
| Benchmark | Gemma 3 27B | Mistral Small 3.1 |
|---|---|---|
| LMArena Vision | 1164 | 1136 |
| GeoBench | 52% | — |
Multilingual Gemma 3 27B leads
Gemma 3 27B: 46.9 (#155), Mistral Small 3.1: 41.2 (#209)
| Benchmark | Gemma 3 27B | Mistral Small 3.1 |
|---|---|---|
| LMArena Non-English | 1334 | 1255 |
| LMArena Chinese | 1346 | 1253 |
| LMArena French | 1368 | 1273 |
| LMArena German | 1362 | 1266 |
| LMArena Japanese | 1287 | 1208 |
| LMArena Korean | 1308 | 1206 |
| LMArena Russian | 1349 | 1263 |
| LMArena Spanish | 1349 | 1283 |
Instruction Following Gemma 3 27B leads
Gemma 3 27B: 70.6 (#160), Mistral Small 3.1: 63.6 (#230)
| Benchmark | Gemma 3 27B | Mistral Small 3.1 |
|---|---|---|
| LMArena Instruction Following | 1321 | 1264 |
| LiveBench Instruction Following | 74.9% | — |
| IFEval | — | 75% |
Long Context Mistral Small 3.1 leads
Gemma 3 27B: 27.6 (#293), Mistral Small 3.1: 39.5 (#178)
| Benchmark | Gemma 3 27B | Mistral Small 3.1 |
|---|---|---|
| LMArena Longer Query | 1333 | 1299 |
| Fiction.LiveBench | 33.3% | — |
Writing & Preference Gemma 3 27B leads
Gemma 3 27B: 52.5 (#168), Mistral Small 3.1: 37.0 (#259)
| Benchmark | Gemma 3 27B | Mistral Small 3.1 |
|---|---|---|
| LMArena Text | 1358 | 1277 |
| LMArena Creative Writing | 1346 | 1253 |
| EQ-Bench Creative Writing | 1266 | 761 |
| LMArena Multi-Turn | 1345 | 1270 |
| Short-Story Creative Writing | 79.9% | — |
| WildBench | — | 78.8% |
| LiveBench Language | 34.6% | — |
Frequently asked questions
Is Gemma 3 27B better than Mistral Small 3.1?
Gemma 3 27B and Mistral Small 3.1 score almost the same on the Noometry Index (30.8 vs 31.7), so choose on price, context window or the category you care about most.
Which is cheaper, Gemma 3 27B or Mistral Small 3.1?
Gemma 3 27B is cheaper. It lists at $0.08 per million input tokens and $0.16 per million output tokens; Mistral Small 3.1 lists at $0.35 and $0.56.
Is Gemma 3 27B or Mistral Small 3.1 better for coding?
Mistral Small 3.1 scores higher on coding benchmarks: 38.3 versus 22.5 in the Noometry coding category.
Which has the bigger context window?
Gemma 3 27B does, with 131K tokens against 128K.
How many benchmarks do Gemma 3 27B and Mistral Small 3.1 share?
23 benchmarks have published results for both models. Gemma 3 27B has 43 scored results on Noometry and Mistral Small 3.1 has 28.