Codestral 2501 coding benchmark
Mistral AI · API model Codestral-2501 · Results published 25 Oct 2026 · Benchmark v4
How Codestral 2501 performed
Codestral 2501 by Mistral AI took the PomBench AI coding benchmark: every model gets the same prompt and writes self-contained browser code for a twelve-second scene: a Pomeranian runs across a backyard, jumps a puddle, enters its doghouse, retrieves a bone and turns toward the viewer. The video above is an independent offline browser recording of the code Codestral 2501 returned, captured at 960 × 540 and 30 fps, with no organizer edits to the code.
In this Codestral 2501 coding test the model produced 1,440 output tokens, including provider-reported reasoning (rank 43 of 46 by output tokens), and the known API cost was $0.0019 (rank 6 of 45, cheapest first). Is Codestral 2501 good at coding? One task cannot answer that on its own, so this LLM coding benchmark lets you watch the result instead of reading a score: check the gait, the puddle jump and reflection, the doorway occlusion and whether the bone stays in the dog's mouth.
Then compare Codestral 2501 vs Mistral Large 3 and Mistral Medium 3.5 below, or open the AI model comparison to play up to four models on one synchronized timeline.
Codestral 2501 vs Mistral Large 3, Mistral Medium 3.5 and Llama 4 Maverick
- Codestral 2501 vs Mistral Large 3: 1,440 vs 5,448 output tokens; known API cost $0.0019 vs $0.0092. Watch side by side
- Codestral 2501 vs Mistral Medium 3.5: 1,440 vs 3,499 output tokens; known API cost $0.0019 vs $0.0294. Watch side by side
- Codestral 2501 vs Llama 4 Maverick: 1,440 vs 763 output tokens; known API cost $0.0019 vs $0.0013. Watch side by side
Codestral 2501 code
Codestral 2501 wrote its own native browser animation code from the same prompt as every other model. One execution repair is available for empty, truncated or unexecutable code; the final response is kept, not a best-of selection.