Model comparison
Gemma 3 27B vs Mistral Medium 3.5
Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 30.8 on the Noometry Index. Gemma 3 27B costs 30× less per token, which makes it the better buy when Mistral Medium 3.5's lead doesn't matter for your workload.
Last verified . 19 shared benchmarks.
Summary
- They share 19 benchmarks with published results for both. Gemma 3 27B scores higher in 0 categories and Mistral Medium 3.5 in 9 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in long context, where Mistral Medium 3.5 leads 43.2 to 27.6.
- Gemma 3 27B is cheaper at $0.08 / $0.16 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.
- Mistral Medium 3.5 accepts more context: 262K tokens versus 131K.
Side by side
| Gemma 3 27B | Mistral Medium 3.5 | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 30.8 | 40.2 |
| Released | 2025-03-11 | — |
| Weights | Open | Open |
| Context window | 131K | 262K |
| Max output | 8K | 210K |
| Input $ / M tokens | $0.08 | $1.50 |
| Output $ / M tokens | $0.16 | $7.50 |
| Results tracked | 43 | 22 |
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Category by category
Coding Mistral Medium 3.5 leads
Gemma 3 27B: 22.5 (#334), Mistral Medium 3.5: 36.0 (#213)
| Benchmark | Gemma 3 27B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Coding | 1322 | 1461 |
| Aider Polyglot | 4.9% | — |
| LMArena WebDev | — | 1264 |
| SciCode | 21.2% | — |
| LiveBench Coding | 39.9% | — |
Agentic & Tool Use Not comparable
Gemma 3 27B: 25.1 (#110), Mistral Medium 3.5: —
| Benchmark | Gemma 3 27B | Mistral Medium 3.5 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 29.5% | — |
Reasoning Too close to call
Gemma 3 27B: 16.7 (#301), Mistral Medium 3.5: 17.3 (#295)
| Benchmark | Gemma 3 27B | Mistral Medium 3.5 |
|---|---|---|
| Kagi LLM Benchmark | 40.4% | 41.4% |
| LMArena Hard Prompts | 1340 | 1436 |
| Epoch Capabilities Index | 130.04 | 141.35 |
| NYT Connections (extended) | — | 12.9% |
| CritPt | 0% | — |
| Chess Puzzles | 0% | — |
| LiveBench Reasoning | 43.8% | — |
| DTBench | 52.5% | — |
| LiveBench Data Analysis | 51.5% | — |
| LMCA | 12.3% | — |
| LiveBench | 50% | — |
Math Mistral Medium 3.5 leads
Gemma 3 27B: 25.9 (#265), Mistral Medium 3.5: 39.1 (#113)
| Benchmark | Gemma 3 27B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | 1312 | 1431 |
| OTIS Mock AIME 2024-2025 | 22.5% | — |
| LiveBench Math | 55.4% | — |
| MATH Level 5 | 74% | — |
Knowledge Mistral Medium 3.5 leads
Gemma 3 27B: 25.5 (#261), Mistral Medium 3.5: 40.0 (#126)
| Benchmark | Gemma 3 27B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | 1304 | 1432 |
| GPQA Diamond | 47.7% | — |
| Confabulations | 40.3% | — |
| Vectara Hallucination Rate | 7.4% | — |
Multimodal Mistral Medium 3.5 leads
Gemma 3 27B: 32.6 (#100), Mistral Medium 3.5: 38.3 (#65)
| Benchmark | Gemma 3 27B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | 1164 | 1223 |
| GeoBench | 52% | — |
Multilingual Mistral Medium 3.5 leads
Gemma 3 27B: 46.9 (#155), Mistral Medium 3.5: 51.9 (#100)
| Benchmark | Gemma 3 27B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | 1334 | 1404 |
| LMArena Chinese | 1346 | 1442 |
| LMArena French | 1368 | 1448 |
| LMArena German | 1362 | 1451 |
| LMArena Korean | 1308 | 1385 |
| LMArena Russian | 1349 | 1395 |
| LMArena Spanish | 1349 | 1409 |
| LMArena Japanese | 1287 | — |
Instruction Following Mistral Medium 3.5 leads
Gemma 3 27B: 70.6 (#160), Mistral Medium 3.5: 74.6 (#90)
| Benchmark | Gemma 3 27B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | 1321 | 1415 |
| LiveBench Instruction Following | 74.9% | — |
Long Context Mistral Medium 3.5 leads
Gemma 3 27B: 27.6 (#293), Mistral Medium 3.5: 43.2 (#103)
| Benchmark | Gemma 3 27B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | 1333 | 1415 |
| Fiction.LiveBench | 33.3% | — |
Writing & Preference Mistral Medium 3.5 leads
Gemma 3 27B: 52.5 (#168), Mistral Medium 3.5: 58.5 (#117)
| Benchmark | Gemma 3 27B | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | 1358 | 1421 |
| LMArena Creative Writing | 1346 | 1374 |
| LMArena Multi-Turn | 1345 | 1423 |
| Short-Story Creative Writing | 79.9% | — |
| EQ-Bench Creative Writing | 1266 | — |
| EQ-Bench 4 | — | 993 |
| LiveBench Language | 34.6% | — |
Frequently asked questions
Is Gemma 3 27B better than Mistral Medium 3.5?
Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 30.8 on the Noometry Index. Gemma 3 27B costs 30× less per token, which makes it the better buy when Mistral Medium 3.5's lead doesn't matter for your workload.
Which is cheaper, Gemma 3 27B or Mistral Medium 3.5?
Gemma 3 27B is cheaper. It lists at $0.08 per million input tokens and $0.16 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.
Is Gemma 3 27B or Mistral Medium 3.5 better for coding?
Mistral Medium 3.5 scores higher on coding benchmarks: 36.0 versus 22.5 in the Noometry coding category.
Which has the bigger context window?
Mistral Medium 3.5 does, with 262K tokens against 131K.
How many benchmarks do Gemma 3 27B and Mistral Medium 3.5 share?
19 benchmarks have published results for both models. Gemma 3 27B has 43 scored results on Noometry and Mistral Medium 3.5 has 22.