Model comparison
Kimi K2.7 Code vs Mixtral 8x22B
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 27.1 on the Noometry Index.
Last verified . 3 shared benchmarks.
Mistral AISummary
- They share 3 benchmarks with published results for both. Kimi K2.7 Code scores higher in 5 categories and Mixtral 8x22B in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Kimi K2.7 Code leads 53.5 to 15.1.
- The biggest single-benchmark swing is GPQA Diamond: 87.9% for Kimi K2.7 Code and 34.1% for Mixtral 8x22B.
- Kimi K2.7 Code is cheaper at $0.95 / $4 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
- Kimi K2.7 Code accepts more context: 262K tokens versus 64K.
Side by side
| Kimi K2.7 Code | Mixtral 8x22B | |
|---|---|---|
| Provider | Moonshot AI | Mistral AI |
| Noometry Index | 43.3 | 27.1 |
| Released | 2026-06-12 | 2024-04-17 |
| Weights | Open | Open |
| Context window | 262K | 64K |
| Max output | 262K | 64K |
| Input $ / M tokens | $0.95 | $2 |
| Output $ / M tokens | $4 | $6 |
| Results tracked | 19 | 34 |
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Category by category
Coding Kimi K2.7 Code leads
Kimi K2.7 Code: 42.9 (#95), Mixtral 8x22B: 24.2 (#329)
| Benchmark | Kimi K2.7 Code | Mixtral 8x22B |
|---|---|---|
| WeirdML | 54.1% | 3.2% |
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| LMArena WebDev | 1473 | — |
| SciCode | 47.5% | — |
| BigCodeBench Instruct | — | 40.6% |
| LMArena Coding | — | 1166 |
| BigCodeBench Complete | — | 50.2% |
| ALE-Bench | 886.23 | — |
| HumanEval+ | — | 72% |
| MBPP+ | — | 64.3% |
Agentic & Tool Use Too close to call
Kimi K2.7 Code: 24.0 (#122), Mixtral 8x22B: 23.1 (#127)
| Benchmark | Kimi K2.7 Code | Mixtral 8x22B |
|---|---|---|
| APEX-Agents | 37.6% | — |
| Cybench | — | 7.5% |
| GBAEval | 0.9% | — |
| Vending-Bench 2 | 5,083 | — |
Reasoning Kimi K2.7 Code leads
Kimi K2.7 Code: 39.0 (#61), Mixtral 8x22B: 19.9 (#248)
| Benchmark | Kimi K2.7 Code | Mixtral 8x22B |
|---|---|---|
| Epoch Capabilities Index | 149.97 | 122.03 |
| SimpleBench | 57.9% | — |
| CritPt | 10% | — |
| Chess Puzzles | 21% | — |
| LMArena Hard Prompts | — | 1150 |
| DTBench | — | 55.1% |
| Surface Evolver Bench | 48.8% | — |
| ForecastBench | — | 56.3 |
Math Kimi K2.7 Code leads
Kimi K2.7 Code: 52.9 (#48), Mixtral 8x22B: 22.9 (#275)
| Benchmark | Kimi K2.7 Code | Mixtral 8x22B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| Omni-MATH | — | 16.3% |
| LMArena Math | — | 1184 |
| MATH Level 5 | — | 24.2% |
Knowledge Kimi K2.7 Code leads
Kimi K2.7 Code: 53.5 (#57), Mixtral 8x22B: 15.1 (#293)
| Benchmark | Kimi K2.7 Code | Mixtral 8x22B |
|---|---|---|
| GPQA Diamond | 87.9% | 34.1% |
| SimpleQA Verified | 36.5% | — |
| MMLU-Pro | — | 46% |
| GPQA (HELM) | — | 33.4% |
| LMArena Expert | — | 1113 |
| MMLU | — | 77.8% |
Multilingual Not comparable
Kimi K2.7 Code: —, Mixtral 8x22B: 32.8 (#255)
| Benchmark | Kimi K2.7 Code | Mixtral 8x22B |
|---|---|---|
| LMArena Non-English | — | 1128 |
| LMArena Chinese | — | 1116 |
| LMArena French | — | 1166 |
| LMArena German | — | 1141 |
| LMArena Japanese | — | 1037 |
| LMArena Korean | — | 1057 |
| LMArena Russian | — | 1158 |
| LMArena Spanish | — | 1151 |
Instruction Following Not comparable
Kimi K2.7 Code: —, Mixtral 8x22B: 57.7 (#266)
| Benchmark | Kimi K2.7 Code | Mixtral 8x22B |
|---|---|---|
| IFEval | — | 72.4% |
| LMArena Instruction Following | — | 1147 |
Long Context Not comparable
Kimi K2.7 Code: —, Mixtral 8x22B: 34.7 (#247)
| Benchmark | Kimi K2.7 Code | Mixtral 8x22B |
|---|---|---|
| LMArena Longer Query | — | 1144 |
Writing & Preference Not comparable
Kimi K2.7 Code: —, Mixtral 8x22B: 36.9 (#262)
| Benchmark | Kimi K2.7 Code | Mixtral 8x22B |
|---|---|---|
| LMArena Text | — | 1162 |
| LMArena Creative Writing | — | 1141 |
| WildBench | — | 71.1% |
| LMArena Multi-Turn | — | 1130 |
Frequently asked questions
Is Kimi K2.7 Code better than Mixtral 8x22B?
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 27.1 on the Noometry Index.
Which is cheaper, Kimi K2.7 Code or Mixtral 8x22B?
Kimi K2.7 Code is cheaper. It lists at $0.95 per million input tokens and $4 per million output tokens; Mixtral 8x22B lists at $2 and $6.
Is Kimi K2.7 Code or Mixtral 8x22B better for coding?
Kimi K2.7 Code scores higher on coding benchmarks: 42.9 versus 24.2 in the Noometry coding category.
Which has the bigger context window?
Kimi K2.7 Code does, with 262K tokens against 64K.
How many benchmarks do Kimi K2.7 Code and Mixtral 8x22B share?
3 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Mixtral 8x22B has 34.