Model comparison
Codestral vs Laguna M.1
Laguna M.1 is the stronger model overall, scoring 31.9 to 30.1 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AI
PoolsideSummary
- The widest gap is in coding, where Laguna M.1 leads 36.4 to 26.9.
- Laguna M.1 accepts more context: 262K tokens versus 256K.
Side by side
| Codestral | Laguna M.1 | |
|---|---|---|
| Provider | Mistral AI | Poolside |
| Noometry Index | 30.1 | 31.9 |
| Released | 2024-05-29 | 2026-04-28 |
| Weights | Open | Open |
| Context window | 256K | 262K |
| Max output | 4K | 33K |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $0.90 | — |
| Results tracked | 7 | 3 |
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Category by category
Coding Laguna M.1 leads
Codestral: 26.9 (#316), Laguna M.1: 36.4 (#195)
| Benchmark | Codestral | Laguna M.1 |
|---|---|---|
| Aider Polyglot | 11.1% | — |
| LMArena WebDev | — | 1348 |
| BigCodeBench Instruct | 41.8% | — |
| BigCodeBench Complete | 52.5% | — |
| ALE-Bench | 137.78 | — |
| HumanEval+ | 73.8% | — |
| MBPP+ | 61.9% | — |
Reasoning Laguna M.1 leads
Codestral: 19.1 (#244), Laguna M.1: 21.9 (#187)
| Benchmark | Codestral | Laguna M.1 |
|---|---|---|
| Kagi LLM Benchmark | 32.5% | — |
| Surface Evolver Bench | — | 15.6% |
Math Not comparable
Codestral: —, Laguna M.1: 20.3 (#276)
| Benchmark | Codestral | Laguna M.1 |
|---|---|---|
| ProofBench | — | 0% |
Frequently asked questions
Is Codestral better than Laguna M.1?
Laguna M.1 is the stronger model overall, scoring 31.9 to 30.1 on the Noometry Index.
Is Codestral or Laguna M.1 better for coding?
Laguna M.1 scores higher on coding benchmarks: 36.4 versus 26.9 in the Noometry coding category.
Which has the bigger context window?
Laguna M.1 does, with 262K tokens against 256K.
How many benchmarks do Codestral and Laguna M.1 share?
0 benchmarks have published results for both models. Codestral has 7 scored results on Noometry and Laguna M.1 has 3.