Model comparison
Kimi K2.7 Code vs MiMo-V2-Pro
Kimi K2.7 Code and MiMo-V2-Pro score almost the same on the Noometry Index (43.3 vs 43.0), so choose on price, context window or the category you care about most.
Last verified . 2 shared benchmarks.
Summary
- They share 2 benchmarks with published results for both. Kimi K2.7 Code scores higher in 3 categories and MiMo-V2-Pro in 1 category; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Kimi K2.7 Code leads 39.0 to 22.1.
- MiMo-V2-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 262K.
- Kimi K2.7 Code has downloadable open weights; the other is API-only.
Side by side
| Kimi K2.7 Code | MiMo-V2-Pro | |
|---|---|---|
| Provider | Moonshot AI | Xiaomi |
| Noometry Index | 43.3 | 43.0 |
| Released | 2026-06-12 | 2026-03-18 |
| Weights | Open | Proprietary |
| 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 | 23 |
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Category by category
Coding Too close to call
Kimi K2.7 Code: 42.9 (#95), MiMo-V2-Pro: 43.8 (#83)
| Benchmark | Kimi K2.7 Code | MiMo-V2-Pro |
|---|---|---|
| LMArena WebDev | 1473 | 1433 |
| ALE-Bench | 886.23 | 785.17 |
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| SciCode | 47.5% | — |
| WeirdML | 54.1% | — |
| LMArena Coding | — | 1476 |
Agentic & Tool Use Not comparable
Kimi K2.7 Code: 24.0 (#122), MiMo-V2-Pro: —
| Benchmark | Kimi K2.7 Code | MiMo-V2-Pro |
|---|---|---|
| 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), MiMo-V2-Pro: 22.1 (#206)
| Benchmark | Kimi K2.7 Code | MiMo-V2-Pro |
|---|---|---|
| SimpleBench | 57.9% | — |
| NYT Connections (extended) | — | 25.8% |
| CritPt | 10% | — |
| Chess Puzzles | 21% | — |
| Thematic Generalization | — | 45.9% |
| LMArena Hard Prompts | — | 1457 |
| Surface Evolver Bench | 48.8% | — |
| Epoch Capabilities Index | 149.97 | — |
Math Kimi K2.7 Code leads
Kimi K2.7 Code: 52.9 (#48), MiMo-V2-Pro: 39.5 (#102)
| Benchmark | Kimi K2.7 Code | MiMo-V2-Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| LMArena Math | — | 1447 |
Knowledge Kimi K2.7 Code leads
Kimi K2.7 Code: 53.5 (#57), MiMo-V2-Pro: 41.4 (#111)
| Benchmark | Kimi K2.7 Code | MiMo-V2-Pro |
|---|---|---|
| GPQA Diamond | 87.9% | — |
| SimpleQA Verified | 36.5% | — |
| LMArena Expert | — | 1478 |
Multilingual Not comparable
Kimi K2.7 Code: —, MiMo-V2-Pro: 52.7 (#81)
| Benchmark | Kimi K2.7 Code | MiMo-V2-Pro |
|---|---|---|
| LMArena Non-English | — | 1416 |
| LMArena Chinese | — | 1456 |
| LMArena French | — | 1469 |
| LMArena German | — | 1417 |
| LMArena Japanese | — | 1366 |
| LMArena Korean | — | 1400 |
| LMArena Russian | — | 1427 |
| LMArena Spanish | — | 1457 |
Instruction Following Not comparable
Kimi K2.7 Code: —, MiMo-V2-Pro: 76.0 (#49)
| Benchmark | Kimi K2.7 Code | MiMo-V2-Pro |
|---|---|---|
| LMArena Instruction Following | — | 1445 |
Long Context Not comparable
Kimi K2.7 Code: —, MiMo-V2-Pro: 41.5 (#138)
| Benchmark | Kimi K2.7 Code | MiMo-V2-Pro |
|---|---|---|
| CL-bench | — | 15.7% |
| CL-bench Life | — | 6.9% |
| LMArena Longer Query | — | 1455 |
Writing & Preference Not comparable
Kimi K2.7 Code: —, MiMo-V2-Pro: 62.8 (#70)
| Benchmark | Kimi K2.7 Code | MiMo-V2-Pro |
|---|---|---|
| LMArena Text | — | 1436 |
| LMArena Creative Writing | — | 1415 |
| LMArena Multi-Turn | — | 1456 |
Frequently asked questions
Is Kimi K2.7 Code better than MiMo-V2-Pro?
Kimi K2.7 Code and MiMo-V2-Pro score almost the same on the Noometry Index (43.3 vs 43.0), so choose on price, context window or the category you care about most.
Which is cheaper, Kimi K2.7 Code or MiMo-V2-Pro?
MiMo-V2-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-Pro better for coding?
They score almost the same on coding (42.9 vs 43.8); test both on your own repository before choosing.
Which has the bigger context window?
MiMo-V2-Pro does, with 1.05M tokens against 262K.
How many benchmarks do Kimi K2.7 Code and MiMo-V2-Pro share?
2 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and MiMo-V2-Pro has 23.