Model comparison
Kimi K2 (Jul 2025) vs Ministral 3B
Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 26.2 on the Noometry Index. Ministral 3B costs 10× less per token, which makes it the better buy when Kimi K2 (Jul 2025)'s lead doesn't matter for your workload.
Last verified . 2 shared benchmarks.
Summary
- They share 2 benchmarks with published results for both. Kimi K2 (Jul 2025) scores higher in 3 categories and Ministral 3B in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Kimi K2 (Jul 2025) leads 37.3 to 10.4.
- The biggest single-benchmark swing is Vectara Hallucination Rate: 17.9% for Kimi K2 (Jul 2025) and 7.3% for Ministral 3B.
- Ministral 3B is cheaper at $0.10 / $0.10 per million input/output tokens, against $0.57 / $2.30 for Kimi K2 (Jul 2025).
- Kimi K2 (Jul 2025) accepts more context: 262K tokens versus 131K.
Side by side
| Kimi K2 (Jul 2025) | Ministral 3B | |
|---|---|---|
| Provider | Moonshot AI | Mistral AI |
| Noometry Index | 41.2 | 26.2 |
| Released | 2025-07-12 | 2024-10-01 |
| Weights | Open | Open |
| Context window | 262K | 131K |
| Max output | 262K | 262K |
| Input $ / M tokens | $0.57 | $0.10 |
| Output $ / M tokens | $2.30 | $0.10 |
| Results tracked | 42 | 6 |
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Category by category
Coding Not comparable
Kimi K2 (Jul 2025): 42.4 (#102), Ministral 3B: —
| Benchmark | Kimi K2 (Jul 2025) | Ministral 3B |
|---|---|---|
| SWE-bench Verified (bash only) | 63.4% | — |
| Aider Polyglot | 59.1% | — |
| GSO | 4.9% | — |
| WeirdML | 42.8% | — |
| LMArena Coding | 1399 | — |
| ALE-Bench | 597.5 | — |
Agentic & Tool Use Not comparable
Kimi K2 (Jul 2025): 32.4 (#64), Ministral 3B: —
| Benchmark | Kimi K2 (Jul 2025) | Ministral 3B |
|---|---|---|
| Terminal-Bench | 35.7% | — |
| Berkeley Function Calling Leaderboard | 59.1% | — |
| METR Time Horizons | 59.2% | — |
Reasoning Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 23.3 (#179), Ministral 3B: 18.4 (#282)
| Benchmark | Kimi K2 (Jul 2025) | Ministral 3B |
|---|---|---|
| Epoch Capabilities Index | 146.01 | 118.1 |
| SimpleBench | 26.3% | — |
| Kagi LLM Benchmark | 64.4% | — |
| LMArena Hard Prompts | 1384 | — |
| DTBench | — | 51.7% |
| LMCA | — | 5.5% |
| ForecastBench | 60.2 | — |
Math Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 42.7 (#83), Ministral 3B: 26.6 (#258)
| Benchmark | Kimi K2 (Jul 2025) | Ministral 3B |
|---|---|---|
| Omni-MATH | 65.4% | — |
| LMArena Math | 1397 | — |
| MATH Level 5 | — | 14.4% |
| FrontierMath (Feb 2025 set) | 21.4% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 37.3 (#157), Ministral 3B: 10.4 (#302)
| Benchmark | Kimi K2 (Jul 2025) | Ministral 3B |
|---|---|---|
| Vectara Hallucination Rate | 17.9% | 7.3% |
| GPQA Diamond | — | 25.3% |
| MMLU-Pro | 81.9% | — |
| Confabulations | 20.4% | — |
| GPQA (HELM) | 65.3% | — |
| LMArena Expert | 1365 | — |
Multilingual Not comparable
Kimi K2 (Jul 2025): 49.6 (#130), Ministral 3B: —
| Benchmark | Kimi K2 (Jul 2025) | Ministral 3B |
|---|---|---|
| LMArena Non-English | 1372 | — |
| LMArena Chinese | 1415 | — |
| LMArena French | 1379 | — |
| LMArena German | 1387 | — |
| LMArena Japanese | 1349 | — |
| LMArena Korean | 1325 | — |
| LMArena Russian | 1385 | — |
| LMArena Spanish | 1386 | — |
Instruction Following Not comparable
Kimi K2 (Jul 2025): 71.1 (#156), Ministral 3B: —
| Benchmark | Kimi K2 (Jul 2025) | Ministral 3B |
|---|---|---|
| IFEval | 85% | — |
| LMArena Instruction Following | 1348 | — |
Long Context Not comparable
Kimi K2 (Jul 2025): 41.2 (#145), Ministral 3B: —
| Benchmark | Kimi K2 (Jul 2025) | Ministral 3B |
|---|---|---|
| Fiction.LiveBench | 66.7% | — |
| CL-bench | 17.6% | — |
| LMArena Longer Query | 1353 | — |
Writing & Preference Not comparable
Kimi K2 (Jul 2025): 62.3 (#78), Ministral 3B: —
| Benchmark | Kimi K2 (Jul 2025) | Ministral 3B |
|---|---|---|
| LMArena Text | 1380 | — |
| LMArena Creative Writing | 1350 | — |
| Short-Story Creative Writing | 85.6% | — |
| EQ-Bench Creative Writing | 1666 | — |
| WildBench | 86.2% | — |
| LMArena Multi-Turn | 1371 | — |
Frequently asked questions
Is Kimi K2 (Jul 2025) better than Ministral 3B?
Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 26.2 on the Noometry Index. Ministral 3B costs 10× less per token, which makes it the better buy when Kimi K2 (Jul 2025)'s lead doesn't matter for your workload.
Which is cheaper, Kimi K2 (Jul 2025) or Ministral 3B?
Ministral 3B is cheaper. It lists at $0.10 per million input tokens and $0.10 per million output tokens; Kimi K2 (Jul 2025) lists at $0.57 and $2.30.
Which has the bigger context window?
Kimi K2 (Jul 2025) does, with 262K tokens against 131K.
How many benchmarks do Kimi K2 (Jul 2025) and Ministral 3B share?
2 benchmarks have published results for both models. Kimi K2 (Jul 2025) has 42 scored results on Noometry and Ministral 3B has 6.