Model comparison
Kimi K2 (Jul 2025) vs MiMo-V2.6-Pro
MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 41.2 on the Noometry Index.
Last verified . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. Kimi K2 (Jul 2025) scores higher in 0 categories and MiMo-V2.6-Pro in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where MiMo-V2.6-Pro leads 43.1 to 23.3.
- MiMo-V2.6-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $0.57 / $2.30 for Kimi K2 (Jul 2025).
- MiMo-V2.6-Pro accepts more context: 1.05M tokens versus 262K.
Side by side
| Kimi K2 (Jul 2025) | MiMo-V2.6-Pro | |
|---|---|---|
| Provider | Moonshot AI | Xiaomi |
| Noometry Index | 41.2 | 50.3 |
| Released | 2025-07-12 | 2026-09-21 |
| Weights | Open | Open |
| Context window | 262K | 1.05M |
| Max output | 262K | 131K |
| Input $ / M tokens | $0.57 | $0.43 |
| Output $ / M tokens | $2.30 | $0.87 |
| Results tracked | 42 | 19 |
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Category by category
Coding MiMo-V2.6-Pro leads
Kimi K2 (Jul 2025): 42.4 (#102), MiMo-V2.6-Pro: 55.5 (#23)
| Benchmark | Kimi K2 (Jul 2025) | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Coding | 1399 | 1534 |
| ALE-Bench | 597.5 | 1,158 |
| SWE-bench Verified (bash only) | 63.4% | — |
| Aider Polyglot | 59.1% | — |
| LMArena WebDev | — | 1629 |
| SciCode | — | 60.9% |
| GSO | 4.9% | — |
| WeirdML | 42.8% | — |
Agentic & Tool Use MiMo-V2.6-Pro leads
Kimi K2 (Jul 2025): 32.4 (#64), MiMo-V2.6-Pro: 37.5 (#35)
| Benchmark | Kimi K2 (Jul 2025) | MiMo-V2.6-Pro |
|---|---|---|
| Terminal-Bench | 35.7% | — |
| APEX-Agents | — | 59.5% |
| Berkeley Function Calling Leaderboard | 59.1% | — |
| METR Time Horizons | 59.2% | — |
Reasoning MiMo-V2.6-Pro leads
Kimi K2 (Jul 2025): 23.3 (#179), MiMo-V2.6-Pro: 43.1 (#50)
| Benchmark | Kimi K2 (Jul 2025) | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Hard Prompts | 1384 | 1512 |
| SimpleBench | 26.3% | — |
| Kagi LLM Benchmark | 64.4% | — |
| CritPt | — | 26.6% |
| Epoch Capabilities Index | 146.01 | — |
| ForecastBench | 60.2 | — |
Math MiMo-V2.6-Pro leads
Kimi K2 (Jul 2025): 42.7 (#83), MiMo-V2.6-Pro: 54.5 (#45)
| Benchmark | Kimi K2 (Jul 2025) | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Math | 1397 | 1494 |
| ProofBench | — | 70% |
| Omni-MATH | 65.4% | — |
| FrontierMath (Feb 2025 set) | 21.4% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge MiMo-V2.6-Pro leads
Kimi K2 (Jul 2025): 37.3 (#157), MiMo-V2.6-Pro: 43.5 (#92)
| Benchmark | Kimi K2 (Jul 2025) | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Expert | 1365 | 1543 |
| MMLU-Pro | 81.9% | — |
| Confabulations | 20.4% | — |
| Vectara Hallucination Rate | 17.9% | — |
| GPQA (HELM) | 65.3% | — |
Multimodal Not comparable
Kimi K2 (Jul 2025): —, MiMo-V2.6-Pro: 40.8 (#43)
| Benchmark | Kimi K2 (Jul 2025) | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Vision | — | 1264 |
Multilingual MiMo-V2.6-Pro leads
Kimi K2 (Jul 2025): 49.6 (#130), MiMo-V2.6-Pro: 56.9 (#14)
| Benchmark | Kimi K2 (Jul 2025) | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Non-English | 1372 | 1474 |
| LMArena Chinese | 1415 | 1529 |
| LMArena Russian | 1385 | 1480 |
| LMArena French | 1379 | — |
| LMArena German | 1387 | — |
| LMArena Japanese | 1349 | — |
| LMArena Korean | 1325 | — |
| LMArena Spanish | 1386 | — |
Instruction Following MiMo-V2.6-Pro leads
Kimi K2 (Jul 2025): 71.1 (#156), MiMo-V2.6-Pro: 78.2 (#12)
| Benchmark | Kimi K2 (Jul 2025) | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Instruction Following | 1348 | 1493 |
| IFEval | 85% | — |
Long Context MiMo-V2.6-Pro leads
Kimi K2 (Jul 2025): 41.2 (#145), MiMo-V2.6-Pro: 46.0 (#27)
| Benchmark | Kimi K2 (Jul 2025) | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Longer Query | 1353 | 1501 |
| Fiction.LiveBench | 66.7% | — |
| CL-bench | 17.6% | — |
Writing & Preference MiMo-V2.6-Pro leads
Kimi K2 (Jul 2025): 62.3 (#78), MiMo-V2.6-Pro: 66.8 (#33)
| Benchmark | Kimi K2 (Jul 2025) | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Text | 1380 | 1492 |
| LMArena Creative Writing | 1350 | 1468 |
| LMArena Multi-Turn | 1371 | 1464 |
| Short-Story Creative Writing | 85.6% | — |
| EQ-Bench Creative Writing | 1666 | — |
| WildBench | 86.2% | — |
Frequently asked questions
Is Kimi K2 (Jul 2025) better than MiMo-V2.6-Pro?
MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 41.2 on the Noometry Index.
Which is cheaper, Kimi K2 (Jul 2025) 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 (Jul 2025) lists at $0.57 and $2.30.
Is Kimi K2 (Jul 2025) or MiMo-V2.6-Pro better for coding?
MiMo-V2.6-Pro scores higher on coding benchmarks: 55.5 versus 42.4 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 (Jul 2025) and MiMo-V2.6-Pro share?
13 benchmarks have published results for both models. Kimi K2 (Jul 2025) has 42 scored results on Noometry and MiMo-V2.6-Pro has 19.