Model comparison
Kimi K2.6 vs MiMo-V2-Omni
Kimi K2.6 is the stronger model overall, scoring 47.5 to 42.9 on the Noometry Index. MiMo-V2-Omni costs 9.8× less per token, which makes it the better buy when Kimi K2.6's lead doesn't matter for your workload.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. Kimi K2.6 scores higher in 8 categories and MiMo-V2-Omni in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Kimi K2.6 leads 56.8 to 36.4.
- MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.95 / $4 for Kimi K2.6.
- Kimi K2.6 has downloadable open weights; the other is API-only.
Side by side
| Kimi K2.6 | MiMo-V2-Omni | |
|---|---|---|
| Provider | Moonshot AI | Xiaomi |
| Noometry Index | 47.5 | 42.9 |
| Released | 2026-04-20 | 2026-03-18 |
| Weights | Open | Proprietary |
| Context window | 262K | 262K |
| Max output | 262K | 131K |
| Input $ / M tokens | $0.95 | $0.14 |
| Output $ / M tokens | $4 | $0.28 |
| Results tracked | 51 | 18 |
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Category by category
Coding Kimi K2.6 leads
Kimi K2.6: 50.5 (#41), MiMo-V2-Omni: 42.7 (#87)
| Benchmark | Kimi K2.6 | MiMo-V2-Omni |
|---|---|---|
| LMArena Coding | 1488 | 1467 |
| SWE-bench Verified | 76.7% | — |
| LMArena WebDev | 1509 | — |
| SciCode | 53.5% | — |
| WeirdML | 55.9% | — |
| ALE-Bench | 1,093 | — |
Agentic & Tool Use Not comparable
Kimi K2.6: 21.8 (#128), MiMo-V2-Omni: —
| Benchmark | Kimi K2.6 | MiMo-V2-Omni |
|---|---|---|
| OSWorld 2.0 | 4.6% | — |
| ExploitBench | 18.4% | — |
| GBAEval | 0.9% | — |
| GDP.pdf | 12% | — |
| Vending-Bench 2 | 6,205 | — |
Reasoning Kimi K2.6 leads
Kimi K2.6: 39.6 (#51), MiMo-V2-Omni: 28.6 (#86)
| Benchmark | Kimi K2.6 | MiMo-V2-Omni |
|---|---|---|
| LMArena Hard Prompts | 1470 | 1445 |
| NYT Connections (extended) | 87.2% | — |
| CritPt | 8% | — |
| Chess Puzzles | 26% | — |
| EBR-Bench | 2.4% | — |
| Mystery Game Puzzles | 18% | — |
| DTBench | 90.9% | — |
| LMCA | 37.3% | — |
| Epoch Capabilities Index | 151.03 | — |
Math Kimi K2.6 leads
Kimi K2.6: 56.8 (#34), MiMo-V2-Omni: 36.4 (#112)
| Benchmark | Kimi K2.6 | MiMo-V2-Omni |
|---|---|---|
| LMArena Math | 1475 | 1432 |
| FrontierMath (Tiers 1-3) | 57.2% | — |
| FrontierMath Tier 4 | 25.6% | — |
| MathArena Final-Answer Competitions | 72.9% | — |
| OTIS Mock AIME 2024-2025 | 96.1% | — |
| ProofBench | 16% | — |
| FrontierMath (Feb 2025 set) | 39% | — |
| FrontierMath Tier 4 (v1) | 14.6% | — |
Knowledge Kimi K2.6 leads
Kimi K2.6: 53.9 (#48), MiMo-V2-Omni: 39.9 (#114)
| Benchmark | Kimi K2.6 | MiMo-V2-Omni |
|---|---|---|
| LMArena Expert | 1491 | 1449 |
| GPQA Diamond | 90.8% | — |
| SimpleQA Verified | 34.9% | — |
| Vectara Hallucination Rate | 10.8% | — |
Multimodal MiMo-V2-Omni leads
Kimi K2.6: 31.8 (#95), MiMo-V2-Omni: 37.9 (#62)
| Benchmark | Kimi K2.6 | MiMo-V2-Omni |
|---|---|---|
| LMArena Vision | 1282 | 1228 |
| Blueprint-Bench 2 | 3.9% | — |
| Furniture Assembly | 21.7% | — |
| LMArena Document | 1451 | — |
Multilingual Kimi K2.6 leads
Kimi K2.6: 55.1 (#35), MiMo-V2-Omni: 52.0 (#97)
| Benchmark | Kimi K2.6 | MiMo-V2-Omni |
|---|---|---|
| LMArena Non-English | 1446 | 1404 |
| LMArena Chinese | 1521 | 1469 |
| LMArena French | 1471 | 1448 |
| LMArena German | 1449 | 1398 |
| LMArena Japanese | 1442 | 1318 |
| LMArena Korean | 1428 | 1355 |
| LMArena Russian | 1446 | 1412 |
| LMArena Spanish | 1463 | 1432 |
Instruction Following Kimi K2.6 leads
Kimi K2.6: 76.5 (#40), MiMo-V2-Omni: 75.4 (#62)
| Benchmark | Kimi K2.6 | MiMo-V2-Omni |
|---|---|---|
| LMArena Instruction Following | 1451 | 1428 |
Long Context Too close to call
Kimi K2.6: 44.9 (#50), MiMo-V2-Omni: 44.1 (#72)
| Benchmark | Kimi K2.6 | MiMo-V2-Omni |
|---|---|---|
| LMArena Longer Query | 1468 | 1442 |
Writing & Preference Kimi K2.6 leads
Kimi K2.6: 68.7 (#25), MiMo-V2-Omni: 61.6 (#83)
| Benchmark | Kimi K2.6 | MiMo-V2-Omni |
|---|---|---|
| LMArena Text | 1455 | 1424 |
| LMArena Creative Writing | 1434 | 1393 |
| LMArena Multi-Turn | 1453 | 1446 |
| EQ-Bench Creative Writing | 1725 | — |
| EQ-Bench 4 | 1202 | — |
Frequently asked questions
Is Kimi K2.6 better than MiMo-V2-Omni?
Kimi K2.6 is the stronger model overall, scoring 47.5 to 42.9 on the Noometry Index. MiMo-V2-Omni costs 9.8× less per token, which makes it the better buy when Kimi K2.6's lead doesn't matter for your workload.
Which is cheaper, Kimi K2.6 or MiMo-V2-Omni?
MiMo-V2-Omni is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Kimi K2.6 lists at $0.95 and $4.
Is Kimi K2.6 or MiMo-V2-Omni better for coding?
Kimi K2.6 scores higher on coding benchmarks: 50.5 versus 42.7 in the Noometry coding category.
Which has the bigger context window?
Both accept 262K tokens.
How many benchmarks do Kimi K2.6 and MiMo-V2-Omni share?
18 benchmarks have published results for both models. Kimi K2.6 has 51 scored results on Noometry and MiMo-V2-Omni has 18.