Model comparison
Kimi K2.7 Code vs MiMo-V2.6-Pro
MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 43.3 on the Noometry Index.
Last verified . 5 shared benchmarks.
Summary
- They share 5 benchmarks with published results for both. Kimi K2.7 Code scores higher in 1 category and MiMo-V2.6-Pro in 4 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where MiMo-V2.6-Pro leads 37.5 to 24.0.
- The biggest single-benchmark swing is APEX-Agents: 37.6% for Kimi K2.7 Code and 59.5% for MiMo-V2.6-Pro.
- MiMo-V2.6-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
- MiMo-V2.6-Pro accepts more context: 1.05M tokens versus 262K.
Side by side
| Kimi K2.7 Code | MiMo-V2.6-Pro | |
|---|---|---|
| Provider | Moonshot AI | Xiaomi |
| Noometry Index | 43.3 | 50.3 |
| Released | 2026-06-12 | 2026-09-21 |
| Weights | Open | Open |
| Context window | 262K | 1.05M |
| Max output | 262K | 131K |
| Input $ / M tokens | $0.95 | $0.43 |
| Output $ / M tokens | $4 | $0.87 |
| Results tracked | 19 | 19 |
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Category by category
Coding MiMo-V2.6-Pro leads
Kimi K2.7 Code: 42.9 (#95), MiMo-V2.6-Pro: 55.5 (#23)
| Benchmark | Kimi K2.7 Code | MiMo-V2.6-Pro |
|---|---|---|
| LMArena WebDev | 1473 | 1629 |
| SciCode | 47.5% | 60.9% |
| ALE-Bench | 886.23 | 1,158 |
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| WeirdML | 54.1% | — |
| LMArena Coding | — | 1534 |
Agentic & Tool Use MiMo-V2.6-Pro leads
Kimi K2.7 Code: 24.0 (#122), MiMo-V2.6-Pro: 37.5 (#35)
| Benchmark | Kimi K2.7 Code | MiMo-V2.6-Pro |
|---|---|---|
| APEX-Agents | 37.6% | 59.5% |
| GBAEval | 0.9% | — |
| Vending-Bench 2 | 5,083 | — |
Reasoning MiMo-V2.6-Pro leads
Kimi K2.7 Code: 39.0 (#61), MiMo-V2.6-Pro: 43.1 (#50)
| Benchmark | Kimi K2.7 Code | MiMo-V2.6-Pro |
|---|---|---|
| CritPt | 10% | 26.6% |
| SimpleBench | 57.9% | — |
| Chess Puzzles | 21% | — |
| LMArena Hard Prompts | — | 1512 |
| Surface Evolver Bench | 48.8% | — |
| Epoch Capabilities Index | 149.97 | — |
Math MiMo-V2.6-Pro leads
Kimi K2.7 Code: 52.9 (#48), MiMo-V2.6-Pro: 54.5 (#45)
| Benchmark | Kimi K2.7 Code | MiMo-V2.6-Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| ProofBench | — | 70% |
| LMArena Math | — | 1494 |
Knowledge Kimi K2.7 Code leads
Kimi K2.7 Code: 53.5 (#57), MiMo-V2.6-Pro: 43.5 (#92)
| Benchmark | Kimi K2.7 Code | MiMo-V2.6-Pro |
|---|---|---|
| GPQA Diamond | 87.9% | — |
| SimpleQA Verified | 36.5% | — |
| LMArena Expert | — | 1543 |
Multimodal Not comparable
Kimi K2.7 Code: —, MiMo-V2.6-Pro: 40.8 (#43)
| Benchmark | Kimi K2.7 Code | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Vision | — | 1264 |
Multilingual Not comparable
Kimi K2.7 Code: —, MiMo-V2.6-Pro: 56.9 (#14)
| Benchmark | Kimi K2.7 Code | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Non-English | — | 1474 |
| LMArena Chinese | — | 1529 |
| LMArena Russian | — | 1480 |
Instruction Following Not comparable
Kimi K2.7 Code: —, MiMo-V2.6-Pro: 78.2 (#12)
| Benchmark | Kimi K2.7 Code | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Instruction Following | — | 1493 |
Long Context Not comparable
Kimi K2.7 Code: —, MiMo-V2.6-Pro: 46.0 (#27)
| Benchmark | Kimi K2.7 Code | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Longer Query | — | 1501 |
Writing & Preference Not comparable
Kimi K2.7 Code: —, MiMo-V2.6-Pro: 66.8 (#33)
| Benchmark | Kimi K2.7 Code | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Text | — | 1492 |
| LMArena Creative Writing | — | 1468 |
| LMArena Multi-Turn | — | 1464 |
Frequently asked questions
Is Kimi K2.7 Code better than MiMo-V2.6-Pro?
MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 43.3 on the Noometry Index.
Which is cheaper, Kimi K2.7 Code or MiMo-V2.6-Pro?
MiMo-V2.6-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.
Is Kimi K2.7 Code or MiMo-V2.6-Pro better for coding?
MiMo-V2.6-Pro scores higher on coding benchmarks: 55.5 versus 42.9 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.6-Pro does, with 1.05M tokens against 262K.
How many benchmarks do Kimi K2.7 Code and MiMo-V2.6-Pro share?
5 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and MiMo-V2.6-Pro has 19.