Model comparison
Kimi K3 vs Magistral Medium
Kimi K3 is the stronger model overall, scoring 59.5 to 35.2 on the Noometry Index. Magistral Medium costs 2.2× less per token, which makes it the better buy when Kimi K3's lead doesn't matter for your workload.
Last verified . 21 shared benchmarks.
Mistral AISummary
- They share 21 benchmarks with published results for both. Kimi K3 scores higher in 8 categories and Magistral Medium in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Kimi K3 leads 63.0 to 8.6.
- The biggest single-benchmark swing is ARC-AGI-1: 94.5% for Kimi K3 and 6.1% for Magistral Medium.
- Magistral Medium is cheaper at $2 / $5 per million input/output tokens, against $3 / $15 for Kimi K3.
- Kimi K3 accepts more context: 1.05M tokens versus 262K.
Side by side
| Kimi K3 | Magistral Medium | |
|---|---|---|
| Provider | Moonshot AI | Mistral AI |
| Noometry Index | 59.5 | 35.2 |
| Released | 2026-07-16 | 2025-03-17 |
| Weights | Open | Open |
| Context window | 1.05M | 262K |
| Max output | 1.05M | 16K |
| Input $ / M tokens | $3 | $2 |
| Output $ / M tokens | $15 | $5 |
| Results tracked | 53 | 22 |
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Category by category
Coding Kimi K3 leads
Kimi K3: 61.0 (#10), Magistral Medium: 39.1 (#161)
| Benchmark | Kimi K3 | Magistral Medium |
|---|---|---|
| SciCode | 59.5% | 39.2% |
| LMArena Coding | 1508 | 1319 |
| DeepSWE | 68.5% | — |
| FrontierCode | 44.2% | — |
| LMArena WebDev | 1654 | — |
| FrontierSWE | 25.9% | — |
| WeirdML | 82.6% | — |
| ALE-Bench | 1,524 | — |
Agentic & Tool Use Not comparable
Kimi K3: 41.8 (#20), Magistral Medium: —
| Benchmark | Kimi K3 | Magistral Medium |
|---|---|---|
| APEX-Agents | 50.6% | — |
| τ²-bench Banking | 37.1% | — |
| PostTrainBench | 32% | — |
| GBAEval | 48.3% | — |
| GDP.pdf | 19% | — |
| Vending-Bench 2 | 5,165 | — |
Reasoning Kimi K3 leads
Kimi K3: 63.0 (#17), Magistral Medium: 8.6 (#348)
| Benchmark | Kimi K3 | Magistral Medium |
|---|---|---|
| ARC-AGI-2 | 60.4% | 0% |
| ARC-AGI-1 | 94.5% | 6.1% |
| CritPt | 23.4% | 0.3% |
| LMArena Hard Prompts | 1496 | 1267 |
| SimpleBench | 60.7% | — |
| Kagi LLM Benchmark | — | 16.2% |
| NYT Connections (extended) | 93.6% | — |
| Chess Puzzles | 39% | — |
| Mystery Game Puzzles | 26% | — |
| DTBench | 91.2% | — |
| LMCA | 52.7% | — |
| Surface Evolver Bench | 95% | — |
| Epoch Capabilities Index | 157.45 | — |
| ForecastBench | 61.1 | — |
Math Kimi K3 leads
Kimi K3: 74.2 (#16), Magistral Medium: 35.1 (#189)
| Benchmark | Kimi K3 | Magistral Medium |
|---|---|---|
| LMArena Math | 1491 | 1250 |
| FrontierMath (Tiers 1-3) | 72.2% | — |
| FrontierMath Tier 4 | 39% | — |
| MathArena Final-Answer Competitions | 87.8% | — |
| OTIS Mock AIME 2024-2025 | 97.2% | — |
| ProofBench | 87% | — |
Knowledge Kimi K3 leads
Kimi K3: 63.2 (#21), Magistral Medium: 33.5 (#202)
| Benchmark | Kimi K3 | Magistral Medium |
|---|---|---|
| LMArena Expert | 1521 | 1223 |
| GPQA Diamond | 93.1% | — |
| SimpleQA Verified | 50.6% | — |
Multimodal Not comparable
Kimi K3: 37.8 (#70), Magistral Medium: —
| Benchmark | Kimi K3 | Magistral Medium |
|---|---|---|
| Blueprint-Bench 2 | 29.5% | — |
| Furniture Assembly | 34.2% | — |
Multilingual Kimi K3 leads
Kimi K3: 56.3 (#21), Magistral Medium: 39.6 (#224)
| Benchmark | Kimi K3 | Magistral Medium |
|---|---|---|
| LMArena Non-English | 1466 | 1232 |
| LMArena Chinese | 1529 | 1227 |
| LMArena French | 1491 | 1267 |
| LMArena German | 1488 | 1248 |
| LMArena Japanese | 1487 | 1175 |
| LMArena Korean | 1458 | 1125 |
| LMArena Russian | 1482 | 1224 |
| LMArena Spanish | 1472 | 1271 |
Instruction Following Kimi K3 leads
Kimi K3: 77.7 (#14), Magistral Medium: 66.0 (#211)
| Benchmark | Kimi K3 | Magistral Medium |
|---|---|---|
| LMArena Instruction Following | 1483 | 1254 |
Long Context Kimi K3 leads
Kimi K3: 45.8 (#29), Magistral Medium: 39.3 (#183)
| Benchmark | Kimi K3 | Magistral Medium |
|---|---|---|
| LMArena Longer Query | 1494 | 1295 |
Writing & Preference Kimi K3 leads
Kimi K3: 76.6 (#4), Magistral Medium: 46.3 (#219)
| Benchmark | Kimi K3 | Magistral Medium |
|---|---|---|
| LMArena Text | 1476 | 1255 |
| LMArena Creative Writing | 1454 | 1245 |
| LMArena Multi-Turn | 1488 | 1275 |
| EQ-Bench Creative Writing | 2082 | — |
| EQ-Bench 4 | 1339 | — |
Frequently asked questions
Is Kimi K3 better than Magistral Medium?
Kimi K3 is the stronger model overall, scoring 59.5 to 35.2 on the Noometry Index. Magistral Medium costs 2.2× less per token, which makes it the better buy when Kimi K3's lead doesn't matter for your workload.
Which is cheaper, Kimi K3 or Magistral Medium?
Magistral Medium is cheaper. It lists at $2 per million input tokens and $5 per million output tokens; Kimi K3 lists at $3 and $15.
Is Kimi K3 or Magistral Medium better for coding?
Kimi K3 scores higher on coding benchmarks: 61.0 versus 39.1 in the Noometry coding category.
Which has the bigger context window?
Kimi K3 does, with 1.05M tokens against 262K.
How many benchmarks do Kimi K3 and Magistral Medium share?
21 benchmarks have published results for both models. Kimi K3 has 53 scored results on Noometry and Magistral Medium has 22.