Model comparison
Codestral vs Gemini 2.0 Flash-Lite
Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.8 to 30.6 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AI
GoogleSummary
- The widest gap is in coding, where Gemini 2.0 Flash-Lite leads 37.9 to 27.3.
Side by side
| Codestral | Gemini 2.0 Flash-Lite | |
|---|---|---|
| Provider | Mistral AI | |
| Noometry Index | 30.6 | 37.8 |
| Released | 2024-05-29 | 2025-02-05 |
| Weights | Proprietary | Proprietary |
| Context window | 256K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $0.90 | — |
| Results tracked | 7 | 32 |
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Category by category
Coding Gemini 2.0 Flash-Lite leads
Codestral: 27.3 (#321), Gemini 2.0 Flash-Lite: 37.9 (#185)
| Benchmark | Codestral | Gemini 2.0 Flash-Lite |
|---|---|---|
| Aider Polyglot | 11.1% | — |
| BigCodeBench Instruct | 41.8% | — |
| LiveBench Coding | — | 47.1% |
| LMArena Coding | — | 1322 |
| BigCodeBench Complete | 52.5% | — |
| ALE-Bench | 137.78 | — |
| HumanEval+ | 73.8% | — |
| MBPP+ | 61.9% | — |
Reasoning Gemini 2.0 Flash-Lite leads
Codestral: 19.8 (#251), Gemini 2.0 Flash-Lite: 22.0 (#210)
| Benchmark | Codestral | Gemini 2.0 Flash-Lite |
|---|---|---|
| Kagi LLM Benchmark | 32.5% | — |
| LiveBench Reasoning | — | 50.1% |
| LMArena Hard Prompts | — | 1324 |
| DTBench | — | 52.5% |
| LiveBench Data Analysis | — | 65.5% |
| ForecastBench | — | 57.1 |
| LiveBench | — | 54.3% |
Math Not comparable
Codestral: —, Gemini 2.0 Flash-Lite: 34.1 (#196)
| Benchmark | Codestral | Gemini 2.0 Flash-Lite |
|---|---|---|
| Omni-MATH | — | 37.4% |
| LiveBench Math | — | 58.1% |
| LMArena Math | — | 1309 |
Knowledge Not comparable
Codestral: —, Gemini 2.0 Flash-Lite: 35.0 (#189)
| Benchmark | Codestral | Gemini 2.0 Flash-Lite |
|---|---|---|
| MMLU-Pro | — | 72% |
| GPQA (HELM) | — | 50% |
| LMArena Expert | — | 1305 |
Multimodal Not comparable
Codestral: —, Gemini 2.0 Flash-Lite: 31.2 (#109)
| Benchmark | Codestral | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Vision | — | 1100 |
Multilingual Not comparable
Codestral: —, Gemini 2.0 Flash-Lite: 46.0 (#161)
| Benchmark | Codestral | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Non-English | — | 1323 |
| LMArena Chinese | — | 1339 |
| LMArena French | — | 1347 |
| LMArena German | — | 1306 |
| LMArena Japanese | — | 1301 |
| LMArena Korean | — | 1325 |
| LMArena Russian | — | 1328 |
| LMArena Spanish | — | 1313 |
Instruction Following Not comparable
Codestral: —, Gemini 2.0 Flash-Lite: 70.4 (#163)
| Benchmark | Codestral | Gemini 2.0 Flash-Lite |
|---|---|---|
| LiveBench Instruction Following | — | 78.3% |
| IFEval | — | 82.4% |
| LMArena Instruction Following | — | 1305 |
Long Context Not comparable
Codestral: —, Gemini 2.0 Flash-Lite: 40.1 (#160)
| Benchmark | Codestral | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Longer Query | — | 1320 |
Writing & Preference Not comparable
Codestral: —, Gemini 2.0 Flash-Lite: 51.7 (#177)
| Benchmark | Codestral | Gemini 2.0 Flash-Lite |
|---|---|---|
| LMArena Text | — | 1330 |
| LMArena Creative Writing | — | 1319 |
| WildBench | — | 79% |
| LMArena Multi-Turn | — | 1307 |
| LiveBench Language | — | 34.3% |
Frequently asked questions
Is Codestral better than Gemini 2.0 Flash-Lite?
Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.8 to 30.6 on the Noometry Index.
Is Codestral or Gemini 2.0 Flash-Lite better for coding?
Gemini 2.0 Flash-Lite scores higher on coding benchmarks: 37.9 versus 27.3 in the Noometry coding category.
How many benchmarks do Codestral and Gemini 2.0 Flash-Lite share?
0 benchmarks have published results for both models. Codestral has 7 scored results on Noometry and Gemini 2.0 Flash-Lite has 32.