Model comparison
Codestral vs GPT-4.5
GPT-4.5 is the stronger model overall, scoring 37.2 to 30.6 on the Noometry Index.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. Codestral scores higher in 1 category and GPT-4.5 in 1 category; 2 gaps are clear of the uncertainty.
- The widest gap is in coding, where GPT-4.5 leads 42.2 to 27.3.
- The biggest single-benchmark swing is Aider Polyglot: 11.1% for Codestral and 44.9% for GPT-4.5.
Side by side
| Codestral | GPT-4.5 | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 30.6 | 37.2 |
| Released | 2024-05-29 | 2025-02-27 |
| Weights | Proprietary | Proprietary |
| Context window | 256K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $0.90 | — |
| Results tracked | 7 | 42 |
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Category by category
Coding GPT-4.5 leads
Codestral: 27.3 (#321), GPT-4.5: 42.2 (#109)
| Benchmark | Codestral | GPT-4.5 |
|---|---|---|
| Aider Polyglot | 11.1% | 44.9% |
| WeirdML | — | 39.4% |
| BigCodeBench Instruct | 41.8% | — |
| LiveBench Coding | — | 75.2% |
| LMArena Coding | — | 1396 |
| BigCodeBench Complete | 52.5% | — |
| ALE-Bench | 137.78 | — |
| HumanEval+ | 73.8% | — |
| MBPP+ | 61.9% | — |
Agentic & Tool Use Not comparable
Codestral: —, GPT-4.5: 27.9 (#97)
| Benchmark | Codestral | GPT-4.5 |
|---|---|---|
| Cybench | — | 17.5% |
Reasoning Codestral leads
Codestral: 19.8 (#251), GPT-4.5: 13.9 (#330)
| Benchmark | Codestral | GPT-4.5 |
|---|---|---|
| ARC-AGI-2 | — | 0.8% |
| SimpleBench | — | 34.5% |
| Kagi LLM Benchmark | 32.5% | — |
| ARC-AGI-1 | — | 10.3% |
| EnigmaEval | — | 3.2% |
| LiveBench Reasoning | — | 71.1% |
| LMArena Hard Prompts | — | 1403 |
| LiveBench Data Analysis | — | 64.3% |
| Epoch Capabilities Index | — | 136.74 |
| ForecastBench | — | 61.7 |
| LiveBench | — | 69% |
Math Not comparable
Codestral: —, GPT-4.5: 32.6 (#211)
| Benchmark | Codestral | GPT-4.5 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 37.8% |
| LiveBench Math | — | 69.3% |
| LMArena Math | — | 1412 |
| MATH Level 5 | — | 78.6% |
Knowledge Not comparable
Codestral: —, GPT-4.5: 32.5 (#211)
| Benchmark | Codestral | GPT-4.5 |
|---|---|---|
| GPQA Diamond | — | 68.7% |
| Humanity's Last Exam | — | 5.4% |
| Confabulations | — | 13.6% |
| LMArena Expert | — | 1394 |
Multimodal Not comparable
Codestral: —, GPT-4.5: 37.6 (#71)
| Benchmark | Codestral | GPT-4.5 |
|---|---|---|
| LMArena Vision | — | 1195 |
| VPCT | — | 45% |
Multilingual Not comparable
Codestral: —, GPT-4.5: 52.5 (#83)
| Benchmark | Codestral | GPT-4.5 |
|---|---|---|
| LMArena Non-English | — | 1413 |
| LMArena Chinese | — | 1421 |
| LMArena French | — | 1418 |
| LMArena German | — | 1457 |
| LMArena Japanese | — | 1416 |
| LMArena Korean | — | 1392 |
| LMArena Russian | — | 1419 |
Instruction Following Not comparable
Codestral: —, GPT-4.5: 72.6 (#134)
| Benchmark | Codestral | GPT-4.5 |
|---|---|---|
| LiveBench Instruction Following | — | 72.3% |
| LMArena Instruction Following | — | 1404 |
Long Context Not comparable
Codestral: —, GPT-4.5: 40.4 (#155)
| Benchmark | Codestral | GPT-4.5 |
|---|---|---|
| Fiction.LiveBench | — | 63.9% |
| LMArena Longer Query | — | 1406 |
Writing & Preference Not comparable
Codestral: —, GPT-4.5: 56.9 (#134)
| Benchmark | Codestral | GPT-4.5 |
|---|---|---|
| LMArena Text | — | 1417 |
| LMArena Creative Writing | — | 1394 |
| Short-Story Creative Writing | — | 75.6% |
| EQ-Bench Creative Writing | — | 1258 |
| LMArena Multi-Turn | — | 1444 |
| LiveBench Language | — | 61.5% |
Frequently asked questions
Is Codestral better than GPT-4.5?
GPT-4.5 is the stronger model overall, scoring 37.2 to 30.6 on the Noometry Index.
Is Codestral or GPT-4.5 better for coding?
GPT-4.5 scores higher on coding benchmarks: 42.2 versus 27.3 in the Noometry coding category.
How many benchmarks do Codestral and GPT-4.5 share?
1 benchmark has published results for both models. Codestral has 7 scored results on Noometry and GPT-4.5 has 42.