Model comparison
Kimi K2 (Jul 2025) vs Ministral 8B
Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 28.2 on the Noometry Index. Ministral 8B costs 6.7× less per token, which makes it the better buy when Kimi K2 (Jul 2025)'s lead doesn't matter for your workload.
Last verified . 14 shared benchmarks.
Mistral AISummary
- They share 14 benchmarks with published results for both. Kimi K2 (Jul 2025) scores higher in 9 categories and Ministral 8B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Kimi K2 (Jul 2025) leads 37.3 to 12.6.
- The biggest single-benchmark swing is Berkeley Function Calling Leaderboard: 59.1% for Kimi K2 (Jul 2025) and 11.1% for Ministral 8B.
- Ministral 8B is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.57 / $2.30 for Kimi K2 (Jul 2025).
Side by side
| Kimi K2 (Jul 2025) | Ministral 8B | |
|---|---|---|
| Provider | Moonshot AI | Mistral AI |
| Noometry Index | 41.2 | 28.2 |
| Released | 2025-07-12 | 2024-10-01 |
| Weights | Open | Open |
| Context window | 262K | 262K |
| Max output | 262K | 262K |
| Input $ / M tokens | $0.57 | $0.15 |
| Output $ / M tokens | $2.30 | $0.15 |
| Results tracked | 42 | 17 |
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Category by category
Coding Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 42.4 (#102), Ministral 8B: 35.0 (#230)
| Benchmark | Kimi K2 (Jul 2025) | Ministral 8B |
|---|---|---|
| LMArena Coding | 1399 | 1202 |
| SWE-bench Verified (bash only) | 63.4% | — |
| Aider Polyglot | 59.1% | — |
| GSO | 4.9% | — |
| WeirdML | 42.8% | — |
| ALE-Bench | 597.5 | — |
Agentic & Tool Use Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 32.4 (#64), Ministral 8B: 16.4 (#148)
| Benchmark | Kimi K2 (Jul 2025) | Ministral 8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 59.1% | 11.1% |
| Terminal-Bench | 35.7% | — |
| METR Time Horizons | 59.2% | — |
Reasoning Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 23.3 (#179), Ministral 8B: 18.4 (#281)
| Benchmark | Kimi K2 (Jul 2025) | Ministral 8B |
|---|---|---|
| LMArena Hard Prompts | 1384 | 1191 |
| SimpleBench | 26.3% | — |
| Kagi LLM Benchmark | 64.4% | — |
| DTBench | — | 45.7% |
| Epoch Capabilities Index | 146.01 | — |
| ForecastBench | 60.2 | — |
Math Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 42.7 (#83), Ministral 8B: 25.7 (#267)
| Benchmark | Kimi K2 (Jul 2025) | Ministral 8B |
|---|---|---|
| LMArena Math | 1397 | 1188 |
| Omni-MATH | 65.4% | — |
| MATH Level 5 | — | 14.9% |
| 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 8B: 12.6 (#297)
| Benchmark | Kimi K2 (Jul 2025) | Ministral 8B |
|---|---|---|
| Vectara Hallucination Rate | 17.9% | 7.4% |
| LMArena Expert | 1365 | 1170 |
| GPQA Diamond | — | 27.1% |
| MMLU-Pro | 81.9% | — |
| Confabulations | 20.4% | — |
| GPQA (HELM) | 65.3% | — |
Multilingual Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 49.6 (#130), Ministral 8B: 35.1 (#247)
| Benchmark | Kimi K2 (Jul 2025) | Ministral 8B |
|---|---|---|
| LMArena Non-English | 1372 | 1165 |
| LMArena Chinese | 1415 | 1193 |
| LMArena Russian | 1385 | 1195 |
| LMArena French | 1379 | — |
| LMArena German | 1387 | — |
| LMArena Japanese | 1349 | — |
| LMArena Korean | 1325 | — |
| LMArena Spanish | 1386 | — |
Instruction Following Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 71.1 (#156), Ministral 8B: 60.5 (#250)
| Benchmark | Kimi K2 (Jul 2025) | Ministral 8B |
|---|---|---|
| LMArena Instruction Following | 1348 | 1161 |
| IFEval | 85% | — |
Long Context Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 41.2 (#145), Ministral 8B: 36.7 (#227)
| Benchmark | Kimi K2 (Jul 2025) | Ministral 8B |
|---|---|---|
| LMArena Longer Query | 1353 | 1212 |
| Fiction.LiveBench | 66.7% | — |
| CL-bench | 17.6% | — |
Writing & Preference Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 62.3 (#78), Ministral 8B: 39.6 (#246)
| Benchmark | Kimi K2 (Jul 2025) | Ministral 8B |
|---|---|---|
| LMArena Text | 1380 | 1191 |
| LMArena Creative Writing | 1350 | 1175 |
| LMArena Multi-Turn | 1371 | 1166 |
| Short-Story Creative Writing | 85.6% | — |
| EQ-Bench Creative Writing | 1666 | — |
| WildBench | 86.2% | — |
Frequently asked questions
Is Kimi K2 (Jul 2025) better than Ministral 8B?
Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 28.2 on the Noometry Index. Ministral 8B costs 6.7× 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 8B?
Ministral 8B is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; Kimi K2 (Jul 2025) lists at $0.57 and $2.30.
Is Kimi K2 (Jul 2025) or Ministral 8B better for coding?
Kimi K2 (Jul 2025) scores higher on coding benchmarks: 42.4 versus 35.0 in the Noometry coding category.
Which has the bigger context window?
Both accept 262K tokens.
How many benchmarks do Kimi K2 (Jul 2025) and Ministral 8B share?
14 benchmarks have published results for both models. Kimi K2 (Jul 2025) has 42 scored results on Noometry and Ministral 8B has 17.