Model comparison
Kimi K2.7 Code vs Mixtral 8x7B
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 27.1 on the Noometry Index. Mixtral 8x7B costs 2.4× 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 4 categories and Mixtral 8x7B 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 11.0.
- The biggest single-benchmark swing is GPQA Diamond: 87.9% for Kimi K2.7 Code and 30.6% for Mixtral 8x7B.
- Mixtral 8x7B is cheaper at $0.70 / $0.70 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
- Kimi K2.7 Code accepts more context: 262K tokens versus 32K.
Side by side
| Kimi K2.7 Code | Mixtral 8x7B | |
|---|---|---|
| Provider | Moonshot AI | Mistral AI |
| Noometry Index | 43.3 | 27.1 |
| Released | 2026-06-12 | 2023-12-11 |
| Weights | Open | Open |
| Context window | 262K | 32K |
| Max output | 262K | 32K |
| Input $ / M tokens | $0.95 | $0.70 |
| Output $ / M tokens | $4 | $0.70 |
| Results tracked | 19 | 38 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Kimi K2.7 Code leads
Kimi K2.7 Code: 42.9 (#95), Mixtral 8x7B: 32.8 (#269)
| Benchmark | Kimi K2.7 Code | Mixtral 8x7B |
|---|---|---|
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| LMArena WebDev | 1473 | — |
| SciCode | 47.5% | — |
| WeirdML | 54.1% | — |
| LMArena Coding | — | 1126 |
| ALE-Bench | 886.23 | — |
| HumanEval+ | — | 39.6% |
| MBPP+ | — | 49.7% |
Agentic & Tool Use Not comparable
Kimi K2.7 Code: 24.0 (#122), Mixtral 8x7B: —
| Benchmark | Kimi K2.7 Code | Mixtral 8x7B |
|---|---|---|
| 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), Mixtral 8x7B: 18.2 (#285)
| Benchmark | Kimi K2.7 Code | Mixtral 8x7B |
|---|---|---|
| Epoch Capabilities Index | 149.97 | 118.47 |
| SimpleBench | 57.9% | — |
| CritPt | 10% | — |
| Chess Puzzles | 21% | — |
| LMArena Hard Prompts | — | 1115 |
| DTBench | — | 49.6% |
| Surface Evolver Bench | 48.8% | — |
| Adversarial NLI | — | 55.2% |
| ForecastBench | — | 56.3 |
| HellaSwag | — | 86.7% |
| PIQA | — | 83.6% |
| WinoGrande | — | 77.2% |
Math Kimi K2.7 Code leads
Kimi K2.7 Code: 52.9 (#48), Mixtral 8x7B: 18.8 (#289)
| Benchmark | Kimi K2.7 Code | Mixtral 8x7B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| Omni-MATH | — | 10.5% |
| LMArena Math | — | 1147 |
| MATH Level 5 | — | 10% |
| GSM8K | — | 74.4% |
Knowledge Kimi K2.7 Code leads
Kimi K2.7 Code: 53.5 (#57), Mixtral 8x7B: 11.0 (#301)
| Benchmark | Kimi K2.7 Code | Mixtral 8x7B |
|---|---|---|
| GPQA Diamond | 87.9% | 30.6% |
| SimpleQA Verified | 36.5% | — |
| MMLU-Pro | — | 33.5% |
| GPQA (HELM) | — | 29.6% |
| LMArena Expert | — | 1088 |
| ARC (AI2) Challenge | — | 87.3% |
| MMLU | — | 70.6% |
| OpenBookQA | — | 85.8% |
| TriviaQA | — | 82.2% |
Multilingual Not comparable
Kimi K2.7 Code: —, Mixtral 8x7B: 29.6 (#266)
| Benchmark | Kimi K2.7 Code | Mixtral 8x7B |
|---|---|---|
| LMArena Non-English | — | 1077 |
| LMArena Chinese | — | 1055 |
| LMArena French | — | 1166 |
| LMArena German | — | 1114 |
| LMArena Japanese | — | 931 |
| LMArena Korean | — | 968 |
| LMArena Russian | — | 1090 |
| LMArena Spanish | — | 1111 |
Instruction Following Not comparable
Kimi K2.7 Code: —, Mixtral 8x7B: 51.0 (#297)
| Benchmark | Kimi K2.7 Code | Mixtral 8x7B |
|---|---|---|
| IFEval | — | 57.5% |
| LMArena Instruction Following | — | 1109 |
Long Context Not comparable
Kimi K2.7 Code: —, Mixtral 8x7B: 33.4 (#260)
| Benchmark | Kimi K2.7 Code | Mixtral 8x7B |
|---|---|---|
| LMArena Longer Query | — | 1103 |
Writing & Preference Not comparable
Kimi K2.7 Code: —, Mixtral 8x7B: 34.2 (#270)
| Benchmark | Kimi K2.7 Code | Mixtral 8x7B |
|---|---|---|
| LMArena Text | — | 1132 |
| LMArena Creative Writing | — | 1109 |
| WildBench | — | 67.3% |
| LMArena Multi-Turn | — | 1115 |
Frequently asked questions
Is Kimi K2.7 Code better than Mixtral 8x7B?
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 27.1 on the Noometry Index. Mixtral 8x7B costs 2.4× 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 Mixtral 8x7B?
Mixtral 8x7B is cheaper. It lists at $0.70 per million input tokens and $0.70 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.
Is Kimi K2.7 Code or Mixtral 8x7B better for coding?
Kimi K2.7 Code scores higher on coding benchmarks: 42.9 versus 32.8 in the Noometry coding category.
Which has the bigger context window?
Kimi K2.7 Code does, with 262K tokens against 32K.
How many benchmarks do Kimi K2.7 Code and Mixtral 8x7B share?
2 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Mixtral 8x7B has 38.