Model comparison
Kimi K2.7 Code vs Magistral Small
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 30.2 on the Noometry Index. Magistral Small costs 2.3× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.
Last verified . 6 shared benchmarks.
Mistral AISummary
- They share 6 benchmarks with published results for both. Kimi K2.7 Code scores higher in 4 categories and Magistral Small in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Kimi K2.7 Code leads 39.0 to 6.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 95.6% for Kimi K2.7 Code and 30% for Magistral Small.
- Magistral Small is cheaper at $0.50 / $1.50 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
- Kimi K2.7 Code accepts more context: 262K tokens versus 128K.
Side by side
| Kimi K2.7 Code | Magistral Small | |
|---|---|---|
| Provider | Moonshot AI | Mistral AI |
| Noometry Index | 43.3 | 30.2 |
| Released | 2026-06-12 | 2025-06-10 |
| Weights | Open | Open |
| Context window | 262K | 128K |
| Max output | 262K | 40K |
| Input $ / M tokens | $0.95 | $0.50 |
| Output $ / M tokens | $4 | $1.50 |
| Results tracked | 19 | 10 |
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Category by category
Coding Kimi K2.7 Code leads
Kimi K2.7 Code: 42.9 (#95), Magistral Small: 38.4 (#176)
| Benchmark | Kimi K2.7 Code | Magistral Small |
|---|---|---|
| SciCode | 47.5% | 35.2% |
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| LMArena WebDev | 1473 | — |
| WeirdML | 54.1% | — |
| ALE-Bench | 886.23 | — |
Agentic & Tool Use Not comparable
Kimi K2.7 Code: 24.0 (#122), Magistral Small: —
| Benchmark | Kimi K2.7 Code | Magistral Small |
|---|---|---|
| APEX-Agents | 37.6% | — |
| GBAEval | 0.9% | — |
| Vending-Bench 2 | 5,083 | — |
Reasoning Kimi K2.7 Code leads
Kimi K2.7 Code: 39.0 (#61), Magistral Small: 6.8 (#350)
| Benchmark | Kimi K2.7 Code | Magistral Small |
|---|---|---|
| CritPt | 10% | 0.3% |
| Chess Puzzles | 21% | 3% |
| Epoch Capabilities Index | 149.97 | 133.19 |
| ARC-AGI-2 | — | 0% |
| SimpleBench | 57.9% | — |
| Kagi LLM Benchmark | — | 6.3% |
| ARC-AGI-1 | — | 5% |
| DTBench | — | 61.3% |
| Surface Evolver Bench | 48.8% | — |
Math Kimi K2.7 Code leads
Kimi K2.7 Code: 52.9 (#48), Magistral Small: 26.2 (#261)
| Benchmark | Kimi K2.7 Code | Magistral Small |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 95.6% | 30% |
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
Knowledge Kimi K2.7 Code leads
Kimi K2.7 Code: 53.5 (#57), Magistral Small: 30.9 (#223)
| Benchmark | Kimi K2.7 Code | Magistral Small |
|---|---|---|
| GPQA Diamond | 87.9% | 56.1% |
| SimpleQA Verified | 36.5% | — |
Frequently asked questions
Is Kimi K2.7 Code better than Magistral Small?
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 30.2 on the Noometry Index. Magistral Small costs 2.3× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.
Which is cheaper, Kimi K2.7 Code or Magistral Small?
Magistral Small is cheaper. It lists at $0.50 per million input tokens and $1.50 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.
Is Kimi K2.7 Code or Magistral Small better for coding?
Kimi K2.7 Code scores higher on coding benchmarks: 42.9 versus 38.4 in the Noometry coding category.
Which has the bigger context window?
Kimi K2.7 Code does, with 262K tokens against 128K.
How many benchmarks do Kimi K2.7 Code and Magistral Small share?
6 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Magistral Small has 10.