Model comparison
Kimi K2.5 vs Mistral 7B
Kimi K2.5 is the stronger model overall, scoring 47.8 to 22.9 on the Noometry Index. Mistral 7B costs 3.6× less per token, which makes it the better buy when Kimi K2.5's lead doesn't matter for your workload.
Last verified . 20 shared benchmarks.
Mistral AISummary
- They share 20 benchmarks with published results for both. Kimi K2.5 scores higher in 8 categories and Mistral 7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Kimi K2.5 leads 53.6 to 7.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 92.2% for Kimi K2.5 and 0.3% for Mistral 7B.
- Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $0.45 / $2.25 for Kimi K2.5.
- Kimi K2.5 accepts more context: 262K tokens versus 8K.
Side by side
| Kimi K2.5 | Mistral 7B | |
|---|---|---|
| Provider | Moonshot AI | Mistral AI |
| Noometry Index | 47.8 | 22.9 |
| Released | 2026-01-27 | 2023-09-27 |
| Weights | Open | Open |
| Context window | 262K | 8K |
| Max output | 262K | 8K |
| Input $ / M tokens | $0.45 | $0.25 |
| Output $ / M tokens | $2.25 | $0.25 |
| Results tracked | 51 | 37 |
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Category by category
Coding Kimi K2.5 leads
Kimi K2.5: 48.7 (#48), Mistral 7B: 25.9 (#321)
| Benchmark | Kimi K2.5 | Mistral 7B |
|---|---|---|
| LMArena Coding | 1474 | 1082 |
| SWE-bench Verified | 73.8% | — |
| SWE-bench Verified (bash only) | 70.8% | — |
| LMArena WebDev | 1436 | — |
| SWE-bench Multilingual | 67.3% | — |
| SciCode | 49% | — |
| WeirdML | 45.6% | — |
| BigCodeBench Instruct | — | 19.5% |
| BigCodeBench Complete | — | 27.3% |
| ALE-Bench | 821.65 | — |
| HumanEval+ | — | 36% |
| MBPP+ | — | 42.1% |
Agentic & Tool Use Not comparable
Kimi K2.5: 34.0 (#44), Mistral 7B: —
| Benchmark | Kimi K2.5 | Mistral 7B |
|---|---|---|
| Terminal-Bench | 43.2% | — |
| OSWorld | 63.3% | — |
| Vending-Bench 2 | 1,198 | — |
Reasoning Kimi K2.5 leads
Kimi K2.5: 31.2 (#74), Mistral 7B: 12.6 (#331)
| Benchmark | Kimi K2.5 | Mistral 7B |
|---|---|---|
| Chess Puzzles | 12% | 0% |
| LMArena Hard Prompts | 1454 | 1067 |
| Epoch Capabilities Index | 148.05 | 111.97 |
| ARC-AGI-2 | 11.8% | — |
| SimpleBench | 46.8% | — |
| Kagi LLM Benchmark | 78.5% | — |
| NYT Connections (extended) | 69.9% | — |
| ARC-AGI-1 | 65.3% | — |
| CritPt | 3.1% | — |
| EnigmaEval | 3.4% | — |
| Thematic Generalization | 69.4% | — |
| DTBench | — | 42.5% |
| Adversarial NLI | — | 47.1% |
| BIG-Bench Hard | — | 56.1% |
| HellaSwag | — | 81% |
| PIQA | — | 83% |
| WinoGrande | — | 75.3% |
Math Kimi K2.5 leads
Kimi K2.5: 50.3 (#46), Mistral 7B: 7.6 (#319)
| Benchmark | Kimi K2.5 | Mistral 7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 92.2% | 0.3% |
| LMArena Math | 1470 | 1085 |
| MathArena Final-Answer Competitions | 62.3% | — |
| MATH Level 5 | — | 3.7% |
| FrontierMath (Feb 2025 set) | 27.9% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
| GSM8K | — | 54.4% |
Knowledge Kimi K2.5 leads
Kimi K2.5: 53.6 (#52), Mistral 7B: 7.3 (#306)
| Benchmark | Kimi K2.5 | Mistral 7B |
|---|---|---|
| GPQA Diamond | 87.6% | 15.2% |
| LMArena Expert | 1466 | 1036 |
| Humanity's Last Exam | 24.4% | — |
| SimpleQA Verified | 34.3% | — |
| Vectara Hallucination Rate | 14.2% | — |
| ARC (AI2) Challenge | — | 78.6% |
| BoolQ | — | 87.4% |
| MMLU | — | 62.5% |
| OpenBookQA | — | 79.8% |
| TriviaQA | — | 75.2% |
Multimodal Not comparable
Kimi K2.5: 40.4 (#37), Mistral 7B: —
| Benchmark | Kimi K2.5 | Mistral 7B |
|---|---|---|
| LMArena Vision | 1269 | — |
| LMArena Document | 1430 | — |
Multilingual Kimi K2.5 leads
Kimi K2.5: 54.1 (#50), Mistral 7B: 26.0 (#278)
| Benchmark | Kimi K2.5 | Mistral 7B |
|---|---|---|
| LMArena Non-English | 1433 | 1012 |
| LMArena Chinese | 1495 | 1009 |
| LMArena French | 1454 | 1036 |
| LMArena German | 1441 | 987 |
| LMArena Japanese | 1422 | 878 |
| LMArena Russian | 1436 | 1018 |
| LMArena Spanish | 1450 | 1026 |
| LMArena Korean | 1412 | — |
Instruction Following Kimi K2.5 leads
Kimi K2.5: 75.5 (#60), Mistral 7B: 54.5 (#275)
| Benchmark | Kimi K2.5 | Mistral 7B |
|---|---|---|
| LMArena Instruction Following | 1431 | 1060 |
Long Context Kimi K2.5 leads
Kimi K2.5: 52.1 (#7), Mistral 7B: 32.2 (#266)
| Benchmark | Kimi K2.5 | Mistral 7B |
|---|---|---|
| LMArena Longer Query | 1445 | 1060 |
| Fiction.LiveBench | 86.1% | — |
| CL-bench | 19.3% | — |
| CL-bench Life | 13.2% | — |
Writing & Preference Kimi K2.5 leads
Kimi K2.5: 65.3 (#51), Mistral 7B: 30.9 (#281)
| Benchmark | Kimi K2.5 | Mistral 7B |
|---|---|---|
| LMArena Text | 1445 | 1090 |
| LMArena Creative Writing | 1423 | 1068 |
| LMArena Multi-Turn | 1444 | 1062 |
| EQ-Bench Creative Writing | 1579 | — |
Frequently asked questions
Is Kimi K2.5 better than Mistral 7B?
Kimi K2.5 is the stronger model overall, scoring 47.8 to 22.9 on the Noometry Index. Mistral 7B costs 3.6× less per token, which makes it the better buy when Kimi K2.5's lead doesn't matter for your workload.
Which is cheaper, Kimi K2.5 or Mistral 7B?
Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; Kimi K2.5 lists at $0.45 and $2.25.
Is Kimi K2.5 or Mistral 7B better for coding?
Kimi K2.5 scores higher on coding benchmarks: 48.7 versus 25.9 in the Noometry coding category.
Which has the bigger context window?
Kimi K2.5 does, with 262K tokens against 8K.
How many benchmarks do Kimi K2.5 and Mistral 7B share?
20 benchmarks have published results for both models. Kimi K2.5 has 51 scored results on Noometry and Mistral 7B has 37.