Model comparison
Codestral vs Gemma 3 27B
Codestral and Gemma 3 27B score almost the same on the Noometry Index (30.6 vs 30.8), so choose on price, context window or the category you care about most.
Last verified . 2 shared benchmarks.
Mistral AI
GoogleSummary
- They share 2 benchmarks with published results for both. Codestral scores higher in 2 categories and Gemma 3 27B in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in coding, where Codestral leads 27.3 to 22.5.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 32.5% for Codestral and 40.4% for Gemma 3 27B.
- Gemma 3 27B is cheaper at $0.08 / $0.16 per million input/output tokens, against $0.30 / $0.90 for Codestral.
- Codestral accepts more context: 256K tokens versus 131K.
- Gemma 3 27B has downloadable open weights; the other is API-only.
Side by side
| Codestral | Gemma 3 27B | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 30.6 | 30.8 |
| Released | 2024-05-29 | 2025-03-11 |
| Weights | Proprietary | Open |
| Context window | 256K | 131K |
| Max output | 8K | 8K |
| Input $ / M tokens | $0.30 | $0.08 |
| Output $ / M tokens | $0.90 | $0.16 |
| Results tracked | 7 | 43 |
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Category by category
Coding Codestral leads
Codestral: 27.3 (#321), Gemma 3 27B: 22.5 (#334)
| Benchmark | Codestral | Gemma 3 27B |
|---|---|---|
| Aider Polyglot | 11.1% | 4.9% |
| SciCode | — | 21.2% |
| BigCodeBench Instruct | 41.8% | — |
| LiveBench Coding | — | 39.9% |
| LMArena Coding | — | 1322 |
| BigCodeBench Complete | 52.5% | — |
| ALE-Bench | 137.78 | — |
| HumanEval+ | 73.8% | — |
| MBPP+ | 61.9% | — |
Agentic & Tool Use Not comparable
Codestral: —, Gemma 3 27B: 25.1 (#110)
| Benchmark | Codestral | Gemma 3 27B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 29.5% |
Reasoning Codestral leads
Codestral: 19.8 (#251), Gemma 3 27B: 16.7 (#301)
| Benchmark | Codestral | Gemma 3 27B |
|---|---|---|
| Kagi LLM Benchmark | 32.5% | 40.4% |
| CritPt | — | 0% |
| Chess Puzzles | — | 0% |
| LiveBench Reasoning | — | 43.8% |
| LMArena Hard Prompts | — | 1340 |
| DTBench | — | 52.5% |
| LiveBench Data Analysis | — | 51.5% |
| LMCA | — | 12.3% |
| Epoch Capabilities Index | — | 130.04 |
| LiveBench | — | 50% |
Math Not comparable
Codestral: —, Gemma 3 27B: 25.9 (#265)
| Benchmark | Codestral | Gemma 3 27B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 22.5% |
| LiveBench Math | — | 55.4% |
| LMArena Math | — | 1312 |
| MATH Level 5 | — | 74% |
Knowledge Not comparable
Codestral: —, Gemma 3 27B: 25.5 (#261)
| Benchmark | Codestral | Gemma 3 27B |
|---|---|---|
| GPQA Diamond | — | 47.7% |
| Confabulations | — | 40.3% |
| Vectara Hallucination Rate | — | 7.4% |
| LMArena Expert | — | 1304 |
Multimodal Not comparable
Codestral: —, Gemma 3 27B: 32.6 (#100)
| Benchmark | Codestral | Gemma 3 27B |
|---|---|---|
| LMArena Vision | — | 1164 |
| GeoBench | — | 52% |
Multilingual Not comparable
Codestral: —, Gemma 3 27B: 46.9 (#155)
| Benchmark | Codestral | Gemma 3 27B |
|---|---|---|
| LMArena Non-English | — | 1334 |
| LMArena Chinese | — | 1346 |
| LMArena French | — | 1368 |
| LMArena German | — | 1362 |
| LMArena Japanese | — | 1287 |
| LMArena Korean | — | 1308 |
| LMArena Russian | — | 1349 |
| LMArena Spanish | — | 1349 |
Instruction Following Not comparable
Codestral: —, Gemma 3 27B: 70.6 (#160)
| Benchmark | Codestral | Gemma 3 27B |
|---|---|---|
| LiveBench Instruction Following | — | 74.9% |
| LMArena Instruction Following | — | 1321 |
Long Context Not comparable
Codestral: —, Gemma 3 27B: 27.6 (#293)
| Benchmark | Codestral | Gemma 3 27B |
|---|---|---|
| Fiction.LiveBench | — | 33.3% |
| LMArena Longer Query | — | 1333 |
Writing & Preference Not comparable
Codestral: —, Gemma 3 27B: 52.5 (#168)
| Benchmark | Codestral | Gemma 3 27B |
|---|---|---|
| LMArena Text | — | 1358 |
| LMArena Creative Writing | — | 1346 |
| Short-Story Creative Writing | — | 79.9% |
| EQ-Bench Creative Writing | — | 1266 |
| LMArena Multi-Turn | — | 1345 |
| LiveBench Language | — | 34.6% |
Frequently asked questions
Is Codestral better than Gemma 3 27B?
Codestral and Gemma 3 27B score almost the same on the Noometry Index (30.6 vs 30.8), so choose on price, context window or the category you care about most.
Which is cheaper, Codestral or Gemma 3 27B?
Gemma 3 27B is cheaper. It lists at $0.08 per million input tokens and $0.16 per million output tokens; Codestral lists at $0.30 and $0.90.
Is Codestral or Gemma 3 27B better for coding?
Codestral scores higher on coding benchmarks: 27.3 versus 22.5 in the Noometry coding category.
Which has the bigger context window?
Codestral does, with 256K tokens against 131K.
How many benchmarks do Codestral and Gemma 3 27B share?
2 benchmarks have published results for both models. Codestral has 7 scored results on Noometry and Gemma 3 27B has 43.