Model comparison
Codestral vs Grok-2 (Dec 2024)
Grok-2 (Dec 2024) is the stronger model overall, scoring 33.7 to 30.6 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in coding, where Grok-2 (Dec 2024) leads 33.3 to 27.3.
Side by side
| Codestral | Grok-2 (Dec 2024) | |
|---|---|---|
| Provider | Mistral AI | xAI |
| Noometry Index | 30.6 | 33.7 |
| Released | 2024-05-29 | 2024-08-13 |
| Weights | Proprietary | Proprietary |
| Context window | 256K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $0.90 | — |
| Results tracked | 7 | 34 |
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Category by category
Coding Grok-2 (Dec 2024) leads
Codestral: 27.3 (#321), Grok-2 (Dec 2024): 33.3 (#258)
| Benchmark | Codestral | Grok-2 (Dec 2024) |
|---|---|---|
| Aider Polyglot | 11.1% | — |
| WeirdML | — | 22.2% |
| BigCodeBench Instruct | 41.8% | — |
| LiveBench Coding | — | 46.4% |
| LMArena Coding | — | 1287 |
| BigCodeBench Complete | 52.5% | — |
| ALE-Bench | 137.78 | — |
| HumanEval+ | 73.8% | — |
| MBPP+ | 61.9% | — |
Reasoning Codestral leads
Codestral: 19.8 (#251), Grok-2 (Dec 2024): 16.9 (#299)
| Benchmark | Codestral | Grok-2 (Dec 2024) |
|---|---|---|
| SimpleBench | — | 22.7% |
| Kagi LLM Benchmark | 32.5% | — |
| LiveBench Reasoning | — | 54.8% |
| LMArena Hard Prompts | — | 1272 |
| DTBench | — | 65.2% |
| LiveBench Data Analysis | — | 54.5% |
| Epoch Capabilities Index | — | 130.48 |
| LiveBench | — | 54.3% |
Math Not comparable
Codestral: —, Grok-2 (Dec 2024): 20.8 (#284)
| Benchmark | Codestral | Grok-2 (Dec 2024) |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 11.5% |
| LiveBench Math | — | 54.9% |
| LMArena Math | — | 1283 |
| MATH Level 5 | — | 63.5% |
| FrontierMath (Feb 2025 set) | — | 0.7% |
Knowledge Not comparable
Codestral: —, Grok-2 (Dec 2024): 29.8 (#233)
| Benchmark | Codestral | Grok-2 (Dec 2024) |
|---|---|---|
| GPQA Diamond | — | 53.8% |
| Confabulations | — | 20.1% |
| LMArena Expert | — | 1254 |
Multilingual Not comparable
Codestral: —, Grok-2 (Dec 2024): 43.1 (#188)
| Benchmark | Codestral | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Non-English | — | 1282 |
| LMArena Chinese | — | 1289 |
| LMArena French | — | 1318 |
| LMArena German | — | 1287 |
| LMArena Japanese | — | 1244 |
| LMArena Korean | — | 1237 |
| LMArena Russian | — | 1286 |
| LMArena Spanish | — | 1281 |
Instruction Following Not comparable
Codestral: —, Grok-2 (Dec 2024): 66.9 (#202)
| Benchmark | Codestral | Grok-2 (Dec 2024) |
|---|---|---|
| LiveBench Instruction Following | — | 69.6% |
| LMArena Instruction Following | — | 1270 |
Long Context Not comparable
Codestral: —, Grok-2 (Dec 2024): 38.8 (#190)
| Benchmark | Codestral | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Longer Query | — | 1276 |
Writing & Preference Not comparable
Codestral: —, Grok-2 (Dec 2024): 48.6 (#198)
| Benchmark | Codestral | Grok-2 (Dec 2024) |
|---|---|---|
| LMArena Text | — | 1305 |
| LMArena Creative Writing | — | 1284 |
| Short-Story Creative Writing | — | 63.6% |
| LMArena Multi-Turn | — | 1290 |
| LiveBench Language | — | 45.6% |
Frequently asked questions
Is Codestral better than Grok-2 (Dec 2024)?
Grok-2 (Dec 2024) is the stronger model overall, scoring 33.7 to 30.6 on the Noometry Index.
Is Codestral or Grok-2 (Dec 2024) better for coding?
Grok-2 (Dec 2024) scores higher on coding benchmarks: 33.3 versus 27.3 in the Noometry coding category.
How many benchmarks do Codestral and Grok-2 (Dec 2024) share?
0 benchmarks have published results for both models. Codestral has 7 scored results on Noometry and Grok-2 (Dec 2024) has 34.