Model comparison
Codestral vs Mixtral 8x7B
Codestral is the stronger model overall, scoring 30.6 to 27.1 on the Noometry Index.
Last verified . 2 shared benchmarks.
Mistral AISummary
- They share 2 benchmarks with published results for both. Codestral scores higher in 1 category and Mixtral 8x7B in 1 category; 2 gaps are clear of the uncertainty.
- The widest gap is in coding, where Mixtral 8x7B leads 32.8 to 27.3.
- Codestral is cheaper at $0.30 / $0.90 per million input/output tokens, against $0.70 / $0.70 for Mixtral 8x7B.
- Codestral accepts more context: 256K tokens versus 32K.
- Mixtral 8x7B has downloadable open weights; the other is API-only.
Side by side
| Codestral | Mixtral 8x7B | |
|---|---|---|
| Provider | Mistral AI | Mistral AI |
| Noometry Index | 30.6 | 27.1 |
| Released | 2024-05-29 | 2023-12-11 |
| Weights | Proprietary | Open |
| Context window | 256K | 32K |
| Max output | 8K | 32K |
| Input $ / M tokens | $0.30 | $0.70 |
| Output $ / M tokens | $0.90 | $0.70 |
| Results tracked | 7 | 38 |
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Category by category
Coding Mixtral 8x7B leads
Codestral: 27.3 (#321), Mixtral 8x7B: 32.8 (#269)
| Benchmark | Codestral | Mixtral 8x7B |
|---|---|---|
| HumanEval+ | 73.8% | 39.6% |
| MBPP+ | 61.9% | 49.7% |
| Aider Polyglot | 11.1% | — |
| BigCodeBench Instruct | 41.8% | — |
| LMArena Coding | — | 1126 |
| BigCodeBench Complete | 52.5% | — |
| ALE-Bench | 137.78 | — |
Reasoning Codestral leads
Codestral: 19.8 (#251), Mixtral 8x7B: 18.2 (#285)
| Benchmark | Codestral | Mixtral 8x7B |
|---|---|---|
| Kagi LLM Benchmark | 32.5% | — |
| LMArena Hard Prompts | — | 1115 |
| DTBench | — | 49.6% |
| Adversarial NLI | — | 55.2% |
| Epoch Capabilities Index | — | 118.47 |
| ForecastBench | — | 56.3 |
| HellaSwag | — | 86.7% |
| PIQA | — | 83.6% |
| WinoGrande | — | 77.2% |
Math Not comparable
Codestral: —, Mixtral 8x7B: 18.8 (#289)
| Benchmark | Codestral | Mixtral 8x7B |
|---|---|---|
| Omni-MATH | — | 10.5% |
| LMArena Math | — | 1147 |
| MATH Level 5 | — | 10% |
| GSM8K | — | 74.4% |
Knowledge Not comparable
Codestral: —, Mixtral 8x7B: 11.0 (#301)
| Benchmark | Codestral | Mixtral 8x7B |
|---|---|---|
| GPQA Diamond | — | 30.6% |
| MMLU-Pro | — | 33.5% |
| GPQA (HELM) | — | 29.6% |
| LMArena Expert | — | 1088 |
| ARC (AI2) Challenge | — | 87.3% |
| MMLU | — | 70.6% |
| OpenBookQA | — | 85.8% |
| TriviaQA | — | 82.2% |
Multilingual Not comparable
Codestral: —, Mixtral 8x7B: 29.6 (#266)
| Benchmark | Codestral | Mixtral 8x7B |
|---|---|---|
| LMArena Non-English | — | 1077 |
| LMArena Chinese | — | 1055 |
| LMArena French | — | 1166 |
| LMArena German | — | 1114 |
| LMArena Japanese | — | 931 |
| LMArena Korean | — | 968 |
| LMArena Russian | — | 1090 |
| LMArena Spanish | — | 1111 |
Instruction Following Not comparable
Codestral: —, Mixtral 8x7B: 51.0 (#297)
| Benchmark | Codestral | Mixtral 8x7B |
|---|---|---|
| IFEval | — | 57.5% |
| LMArena Instruction Following | — | 1109 |
Long Context Not comparable
Codestral: —, Mixtral 8x7B: 33.4 (#260)
| Benchmark | Codestral | Mixtral 8x7B |
|---|---|---|
| LMArena Longer Query | — | 1103 |
Writing & Preference Not comparable
Codestral: —, Mixtral 8x7B: 34.2 (#270)
| Benchmark | Codestral | Mixtral 8x7B |
|---|---|---|
| LMArena Text | — | 1132 |
| LMArena Creative Writing | — | 1109 |
| WildBench | — | 67.3% |
| LMArena Multi-Turn | — | 1115 |
Frequently asked questions
Is Codestral better than Mixtral 8x7B?
Codestral is the stronger model overall, scoring 30.6 to 27.1 on the Noometry Index.
Which is cheaper, Codestral or Mixtral 8x7B?
Codestral is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; Mixtral 8x7B lists at $0.70 and $0.70.
Is Codestral or Mixtral 8x7B better for coding?
Mixtral 8x7B scores higher on coding benchmarks: 32.8 versus 27.3 in the Noometry coding category.
Which has the bigger context window?
Codestral does, with 256K tokens against 32K.
How many benchmarks do Codestral and Mixtral 8x7B share?
2 benchmarks have published results for both models. Codestral has 7 scored results on Noometry and Mixtral 8x7B has 38.