Model comparison
Kimi K2.7 Code vs Ministral 3B
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 26.2 on the Noometry Index. Ministral 3B costs 17× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.
Last verified . 2 shared benchmarks.
Mistral AISummary
- They share 2 benchmarks with published results for both. Kimi K2.7 Code 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 K2.7 Code leads 53.5 to 10.4.
- The biggest single-benchmark swing is GPQA Diamond: 87.9% for Kimi K2.7 Code and 25.3% for Ministral 3B.
- Ministral 3B is cheaper at $0.10 / $0.10 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
- Kimi K2.7 Code accepts more context: 262K tokens versus 131K.
Side by side
| Kimi K2.7 Code | Ministral 3B | |
|---|---|---|
| Provider | Moonshot AI | Mistral AI |
| Noometry Index | 43.3 | 26.2 |
| Released | 2026-06-12 | 2024-10-01 |
| Weights | Open | Open |
| Context window | 262K | 131K |
| Max output | 262K | 262K |
| Input $ / M tokens | $0.95 | $0.10 |
| Output $ / M tokens | $4 | $0.10 |
| Results tracked | 19 | 6 |
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Category by category
Coding Not comparable
Kimi K2.7 Code: 42.9 (#95), Ministral 3B: —
| Benchmark | Kimi K2.7 Code | Ministral 3B |
|---|---|---|
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| LMArena WebDev | 1473 | — |
| SciCode | 47.5% | — |
| WeirdML | 54.1% | — |
| ALE-Bench | 886.23 | — |
Agentic & Tool Use Not comparable
Kimi K2.7 Code: 24.0 (#122), Ministral 3B: —
| Benchmark | Kimi K2.7 Code | Ministral 3B |
|---|---|---|
| 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), Ministral 3B: 18.4 (#282)
| Benchmark | Kimi K2.7 Code | Ministral 3B |
|---|---|---|
| Epoch Capabilities Index | 149.97 | 118.1 |
| SimpleBench | 57.9% | — |
| CritPt | 10% | — |
| Chess Puzzles | 21% | — |
| DTBench | — | 51.7% |
| LMCA | — | 5.5% |
| Surface Evolver Bench | 48.8% | — |
Math Kimi K2.7 Code leads
Kimi K2.7 Code: 52.9 (#48), Ministral 3B: 26.6 (#258)
| Benchmark | Kimi K2.7 Code | Ministral 3B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| MATH Level 5 | — | 14.4% |
Knowledge Kimi K2.7 Code leads
Kimi K2.7 Code: 53.5 (#57), Ministral 3B: 10.4 (#302)
| Benchmark | Kimi K2.7 Code | Ministral 3B |
|---|---|---|
| GPQA Diamond | 87.9% | 25.3% |
| SimpleQA Verified | 36.5% | — |
| Vectara Hallucination Rate | — | 7.3% |
Frequently asked questions
Is Kimi K2.7 Code better than Ministral 3B?
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 26.2 on the Noometry Index. Ministral 3B costs 17× 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 Ministral 3B?
Ministral 3B is cheaper. It lists at $0.10 per million input tokens and $0.10 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.
Which has the bigger context window?
Kimi K2.7 Code does, with 262K tokens against 131K.
How many benchmarks do Kimi K2.7 Code and Ministral 3B share?
2 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Ministral 3B has 6.