Model comparison
Kimi K2.5 vs Mixtral 8x22B
Kimi K2.5 is the stronger model overall, scoring 48.1 to 27.1 on the Noometry Index.
Last verified . 20 shared benchmarks.
Mistral AISummary
- They share 20 benchmarks with published results for both. Kimi K2.5 scores higher in 9 categories and Mixtral 8x22B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Kimi K2.5 leads 53.6 to 15.1.
- The biggest single-benchmark swing is GPQA Diamond: 87.6% for Kimi K2.5 and 34.1% for Mixtral 8x22B.
- Kimi K2.5 is cheaper at $0.45 / $2.25 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
- Kimi K2.5 accepts more context: 262K tokens versus 64K.
Side by side
| Kimi K2.5 | Mixtral 8x22B | |
|---|---|---|
| Provider | Moonshot AI | Mistral AI |
| Noometry Index | 48.1 | 27.1 |
| Released | 2026-01-27 | 2024-04-17 |
| Weights | Open | Open |
| Context window | 262K | 64K |
| Max output | 262K | 64K |
| Input $ / M tokens | $0.45 | $2 |
| Output $ / M tokens | $2.25 | $6 |
| Results tracked | 51 | 34 |
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Category by category
Coding Kimi K2.5 leads
Kimi K2.5: 48.8 (#53), Mixtral 8x22B: 24.2 (#329)
| Benchmark | Kimi K2.5 | Mixtral 8x22B |
|---|---|---|
| WeirdML | 45.6% | 3.2% |
| LMArena Coding | 1474 | 1166 |
| SWE-bench Verified | 73.8% | — |
| SWE-bench Verified (bash only) | 70.8% | — |
| LMArena WebDev | 1437 | — |
| SWE-bench Multilingual | 67.3% | — |
| SciCode | 49% | — |
| BigCodeBench Instruct | — | 40.6% |
| BigCodeBench Complete | — | 50.2% |
| ALE-Bench | 821.65 | — |
| HumanEval+ | — | 72% |
| MBPP+ | — | 64.3% |
Agentic & Tool Use Kimi K2.5 leads
Kimi K2.5: 34.2 (#48), Mixtral 8x22B: 23.1 (#127)
| Benchmark | Kimi K2.5 | Mixtral 8x22B |
|---|---|---|
| Terminal-Bench | 43.2% | — |
| Cybench | — | 7.5% |
| OSWorld | 63.3% | — |
| Vending-Bench 2 | 1,198 | — |
Reasoning Kimi K2.5 leads
Kimi K2.5: 31.2 (#80), Mixtral 8x22B: 19.9 (#248)
| Benchmark | Kimi K2.5 | Mixtral 8x22B |
|---|---|---|
| LMArena Hard Prompts | 1453 | 1150 |
| Epoch Capabilities Index | 148.03 | 122.03 |
| 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% | — |
| Chess Puzzles | 12% | — |
| EnigmaEval | 3.4% | — |
| Thematic Generalization | 69.4% | — |
| DTBench | — | 55.1% |
| ForecastBench | — | 56.3 |
Math Kimi K2.5 leads
Kimi K2.5: 51.8 (#53), Mixtral 8x22B: 22.9 (#275)
| Benchmark | Kimi K2.5 | Mixtral 8x22B |
|---|---|---|
| LMArena Math | 1470 | 1184 |
| MathArena Final-Answer Competitions | 62.3% | — |
| OTIS Mock AIME 2024-2025 | 92.2% | — |
| Omni-MATH | — | 16.3% |
| MATH Level 5 | — | 24.2% |
| FrontierMath (Feb 2025 set) | 27.9% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Kimi K2.5 leads
Kimi K2.5: 53.6 (#56), Mixtral 8x22B: 15.1 (#293)
| Benchmark | Kimi K2.5 | Mixtral 8x22B |
|---|---|---|
| GPQA Diamond | 87.6% | 34.1% |
| LMArena Expert | 1466 | 1113 |
| Humanity's Last Exam | 24.4% | — |
| SimpleQA Verified | 34.3% | — |
| MMLU-Pro | — | 46% |
| Vectara Hallucination Rate | 14.2% | — |
| GPQA (HELM) | — | 33.4% |
| MMLU | — | 77.8% |
Multimodal Not comparable
Kimi K2.5: 41.1 (#39), Mixtral 8x22B: —
| Benchmark | Kimi K2.5 | Mixtral 8x22B |
|---|---|---|
| LMArena Vision | 1269 | — |
| LMArena Document | 1430 | — |
Multilingual Kimi K2.5 leads
Kimi K2.5: 53.9 (#53), Mixtral 8x22B: 32.8 (#255)
| Benchmark | Kimi K2.5 | Mixtral 8x22B |
|---|---|---|
| LMArena Non-English | 1433 | 1128 |
| LMArena Chinese | 1495 | 1116 |
| LMArena French | 1454 | 1166 |
| LMArena German | 1441 | 1141 |
| LMArena Japanese | 1421 | 1037 |
| LMArena Korean | 1410 | 1057 |
| LMArena Russian | 1435 | 1158 |
| LMArena Spanish | 1450 | 1151 |
Instruction Following Kimi K2.5 leads
Kimi K2.5: 75.3 (#64), Mixtral 8x22B: 57.7 (#266)
| Benchmark | Kimi K2.5 | Mixtral 8x22B |
|---|---|---|
| LMArena Instruction Following | 1431 | 1147 |
| IFEval | — | 72.4% |
Long Context Kimi K2.5 leads
Kimi K2.5: 52.1 (#7), Mixtral 8x22B: 34.7 (#247)
| Benchmark | Kimi K2.5 | Mixtral 8x22B |
|---|---|---|
| LMArena Longer Query | 1445 | 1144 |
| Fiction.LiveBench | 86.1% | — |
| CL-bench | 19.3% | — |
| CL-bench Life | 13.2% | — |
Writing & Preference Kimi K2.5 leads
Kimi K2.5: 65.1 (#53), Mixtral 8x22B: 36.9 (#262)
| Benchmark | Kimi K2.5 | Mixtral 8x22B |
|---|---|---|
| LMArena Text | 1445 | 1162 |
| LMArena Creative Writing | 1423 | 1141 |
| LMArena Multi-Turn | 1444 | 1130 |
| EQ-Bench Creative Writing | 1579 | — |
| WildBench | — | 71.1% |
Frequently asked questions
Is Kimi K2.5 better than Mixtral 8x22B?
Kimi K2.5 is the stronger model overall, scoring 48.1 to 27.1 on the Noometry Index.
Which is cheaper, Kimi K2.5 or Mixtral 8x22B?
Kimi K2.5 is cheaper. It lists at $0.45 per million input tokens and $2.25 per million output tokens; Mixtral 8x22B lists at $2 and $6.
Is Kimi K2.5 or Mixtral 8x22B better for coding?
Kimi K2.5 scores higher on coding benchmarks: 48.8 versus 24.2 in the Noometry coding category.
Which has the bigger context window?
Kimi K2.5 does, with 262K tokens against 64K.
How many benchmarks do Kimi K2.5 and Mixtral 8x22B share?
20 benchmarks have published results for both models. Kimi K2.5 has 51 scored results on Noometry and Mixtral 8x22B has 34.