Model comparison
Codestral vs Grok 4.5
Grok 4.5 is the stronger model overall, scoring 55.0 to 30.6 on the Noometry Index. Codestral costs 6.7× less per token, which makes it the better buy when Grok 4.5's lead doesn't matter for your workload.
Last verified . 2 shared benchmarks.
Mistral AISummary
- They share 2 benchmarks with published results for both. Codestral scores higher in 0 categories and Grok 4.5 in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.5 leads 56.1 to 19.8.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 32.5% for Codestral and 83.5% for Grok 4.5.
- Codestral is cheaper at $0.30 / $0.90 per million input/output tokens, against $2 / $6 for Grok 4.5.
- Grok 4.5 accepts more context: 500K tokens versus 256K.
Side by side
| Codestral | Grok 4.5 | |
|---|---|---|
| Provider | Mistral AI | xAI |
| Noometry Index | 30.6 | 55.0 |
| Released | 2024-05-29 | 2026-07-08 |
| Weights | Proprietary | Proprietary |
| Context window | 256K | 500K |
| Max output | 8K | 500K |
| Input $ / M tokens | $0.30 | $2 |
| Output $ / M tokens | $0.90 | $6 |
| Results tracked | 7 | 52 |
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Category by category
Coding Grok 4.5 leads
Codestral: 27.3 (#321), Grok 4.5: 52.2 (#35)
| Benchmark | Codestral | Grok 4.5 |
|---|---|---|
| ALE-Bench | 137.78 | 1,309 |
| DeepSWE | — | 53.8% |
| FrontierCode | — | 42.4% |
| Aider Polyglot | 11.1% | — |
| LMArena WebDev | — | 1553 |
| SciCode | — | 54.1% |
| WeirdML | — | 46.4% |
| BigCodeBench Instruct | 41.8% | — |
| LMArena Coding | — | 1474 |
| BigCodeBench Complete | 52.5% | — |
| HumanEval+ | 73.8% | — |
| MBPP+ | 61.9% | — |
Agentic & Tool Use Not comparable
Codestral: —, Grok 4.5: 44.4 (#17)
| Benchmark | Codestral | Grok 4.5 |
|---|---|---|
| APEX-Agents | — | 56.2% |
| τ²-bench Banking | — | 47.9% |
| PostTrainBench | — | 23.4% |
| GBAEval | — | 65.4% |
| GDP.pdf | — | 14% |
| LMArena Search | — | 1213 |
| Vending-Bench 2 | — | 3,887 |
Reasoning Grok 4.5 leads
Codestral: 19.8 (#251), Grok 4.5: 56.1 (#25)
| Benchmark | Codestral | Grok 4.5 |
|---|---|---|
| Kagi LLM Benchmark | 32.5% | 83.5% |
| ARC-AGI-2 | — | 52.6% |
| SimpleBench | — | 70% |
| NYT Connections (extended) | — | 79.9% |
| ARC-AGI-1 | — | 87.2% |
| CritPt | — | 15.4% |
| Chess Puzzles | — | 36% |
| LMArena Hard Prompts | — | 1462 |
| DTBench | — | 96.5% |
| LMCA | — | 45.2% |
| Surface Evolver Bench | — | 74.4% |
| Epoch Capabilities Index | — | 153.92 |
Math Not comparable
Codestral: —, Grok 4.5: 60.9 (#35)
| Benchmark | Codestral | Grok 4.5 |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 57.2% |
| FrontierMath Tier 4 | — | 24.4% |
| OTIS Mock AIME 2024-2025 | — | 97.8% |
| ProofBench | — | 31% |
| LMArena Math | — | 1459 |
Knowledge Not comparable
Codestral: —, Grok 4.5: 62.3 (#24)
| Benchmark | Codestral | Grok 4.5 |
|---|---|---|
| GPQA Diamond | — | 93.4% |
| SimpleQA Verified | — | 48.3% |
| LMArena Expert | — | 1466 |
Multimodal Not comparable
Codestral: —, Grok 4.5: 37.6 (#72)
| Benchmark | Codestral | Grok 4.5 |
|---|---|---|
| LMArena Vision | — | 1288 |
| Blueprint-Bench 2 | — | 27.3% |
| Furniture Assembly | — | 22.5% |
| LMArena Document | — | 1452 |
Multilingual Not comparable
Codestral: —, Grok 4.5: 54.4 (#42)
| Benchmark | Codestral | Grok 4.5 |
|---|---|---|
| LMArena Non-English | — | 1440 |
| LMArena Chinese | — | 1496 |
| LMArena French | — | 1456 |
| LMArena German | — | 1446 |
| LMArena Japanese | — | 1428 |
| LMArena Korean | — | 1404 |
| LMArena Russian | — | 1448 |
| LMArena Spanish | — | 1450 |
Instruction Following Not comparable
Codestral: —, Grok 4.5: 76.0 (#48)
| Benchmark | Codestral | Grok 4.5 |
|---|---|---|
| LMArena Instruction Following | — | 1446 |
Long Context Not comparable
Codestral: —, Grok 4.5: 44.8 (#56)
| Benchmark | Codestral | Grok 4.5 |
|---|---|---|
| LMArena Longer Query | — | 1463 |
Writing & Preference Not comparable
Codestral: —, Grok 4.5: 65.8 (#42)
| Benchmark | Codestral | Grok 4.5 |
|---|---|---|
| LMArena Text | — | 1448 |
| LMArena Creative Writing | — | 1442 |
| EQ-Bench Creative Writing | — | 1579 |
| LMArena Multi-Turn | — | 1456 |
Frequently asked questions
Is Codestral better than Grok 4.5?
Grok 4.5 is the stronger model overall, scoring 55.0 to 30.6 on the Noometry Index. Codestral costs 6.7× less per token, which makes it the better buy when Grok 4.5's lead doesn't matter for your workload.
Which is cheaper, Codestral or Grok 4.5?
Codestral is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; Grok 4.5 lists at $2 and $6.
Is Codestral or Grok 4.5 better for coding?
Grok 4.5 scores higher on coding benchmarks: 52.2 versus 27.3 in the Noometry coding category.
Which has the bigger context window?
Grok 4.5 does, with 500K tokens against 256K.
How many benchmarks do Codestral and Grok 4.5 share?
2 benchmarks have published results for both models. Codestral has 7 scored results on Noometry and Grok 4.5 has 52.