Model comparison
Kimi K2.5 vs MiMo-V2-Pro
Kimi K2.5 is the stronger model overall, scoring 48.1 to 43.0 on the Noometry Index. MiMo-V2-Pro costs 1.7× less per token, which makes it the better buy when Kimi K2.5's lead doesn't matter for your workload.
Last verified . 23 shared benchmarks.
Summary
- They share 23 benchmarks with published results for both. Kimi K2.5 scores higher in 7 categories and MiMo-V2-Pro in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Kimi K2.5 leads 51.8 to 39.5.
- The biggest single-benchmark swing is NYT Connections (extended): 69.9% for Kimi K2.5 and 25.8% for MiMo-V2-Pro.
- MiMo-V2-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $0.45 / $2.25 for Kimi K2.5.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 262K.
- Kimi K2.5 has downloadable open weights; the other is API-only.
Side by side
| Kimi K2.5 | MiMo-V2-Pro | |
|---|---|---|
| Provider | Moonshot AI | Xiaomi |
| Noometry Index | 48.1 | 43.0 |
| Released | 2026-01-27 | 2026-03-18 |
| Weights | Open | Proprietary |
| Context window | 262K | 1.05M |
| Max output | 262K | 131K |
| Input $ / M tokens | $0.45 | $0.43 |
| Output $ / M tokens | $2.25 | $0.87 |
| Results tracked | 51 | 23 |
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Category by category
Coding Kimi K2.5 leads
Kimi K2.5: 48.8 (#53), MiMo-V2-Pro: 43.8 (#83)
| Benchmark | Kimi K2.5 | MiMo-V2-Pro |
|---|---|---|
| LMArena WebDev | 1437 | 1433 |
| LMArena Coding | 1474 | 1476 |
| ALE-Bench | 821.65 | 785.17 |
| SWE-bench Verified | 73.8% | — |
| SWE-bench Verified (bash only) | 70.8% | — |
| SWE-bench Multilingual | 67.3% | — |
| SciCode | 49% | — |
| WeirdML | 45.6% | — |
Agentic & Tool Use Not comparable
Kimi K2.5: 34.2 (#48), MiMo-V2-Pro: —
| Benchmark | Kimi K2.5 | MiMo-V2-Pro |
|---|---|---|
| Terminal-Bench | 43.2% | — |
| OSWorld | 63.3% | — |
| Vending-Bench 2 | 1,198 | — |
Reasoning Kimi K2.5 leads
Kimi K2.5: 31.2 (#80), MiMo-V2-Pro: 22.1 (#206)
| Benchmark | Kimi K2.5 | MiMo-V2-Pro |
|---|---|---|
| NYT Connections (extended) | 69.9% | 25.8% |
| Thematic Generalization | 69.4% | 45.9% |
| LMArena Hard Prompts | 1453 | 1457 |
| ARC-AGI-2 | 11.8% | — |
| SimpleBench | 46.8% | — |
| Kagi LLM Benchmark | 78.5% | — |
| ARC-AGI-1 | 65.3% | — |
| CritPt | 3.1% | — |
| Chess Puzzles | 12% | — |
| EnigmaEval | 3.4% | — |
| Epoch Capabilities Index | 148.03 | — |
Math Kimi K2.5 leads
Kimi K2.5: 51.8 (#53), MiMo-V2-Pro: 39.5 (#102)
| Benchmark | Kimi K2.5 | MiMo-V2-Pro |
|---|---|---|
| LMArena Math | 1470 | 1447 |
| MathArena Final-Answer Competitions | 62.3% | — |
| OTIS Mock AIME 2024-2025 | 92.2% | — |
| FrontierMath (Feb 2025 set) | 27.9% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Kimi K2.5 leads
Kimi K2.5: 53.6 (#56), MiMo-V2-Pro: 41.4 (#111)
| Benchmark | Kimi K2.5 | MiMo-V2-Pro |
|---|---|---|
| LMArena Expert | 1466 | 1478 |
| GPQA Diamond | 87.6% | — |
| Humanity's Last Exam | 24.4% | — |
| SimpleQA Verified | 34.3% | — |
| Vectara Hallucination Rate | 14.2% | — |
Multimodal Not comparable
Kimi K2.5: 41.1 (#39), MiMo-V2-Pro: —
| Benchmark | Kimi K2.5 | MiMo-V2-Pro |
|---|---|---|
| LMArena Vision | 1269 | — |
| LMArena Document | 1430 | — |
Multilingual Kimi K2.5 leads
Kimi K2.5: 53.9 (#53), MiMo-V2-Pro: 52.7 (#81)
| Benchmark | Kimi K2.5 | MiMo-V2-Pro |
|---|---|---|
| LMArena Non-English | 1433 | 1416 |
| LMArena Chinese | 1495 | 1456 |
| LMArena French | 1454 | 1469 |
| LMArena German | 1441 | 1417 |
| LMArena Japanese | 1421 | 1366 |
| LMArena Korean | 1410 | 1400 |
| LMArena Russian | 1435 | 1427 |
| LMArena Spanish | 1450 | 1457 |
Instruction Following Too close to call
Kimi K2.5: 75.3 (#64), MiMo-V2-Pro: 76.0 (#49)
| Benchmark | Kimi K2.5 | MiMo-V2-Pro |
|---|---|---|
| LMArena Instruction Following | 1431 | 1445 |
Long Context Kimi K2.5 leads
Kimi K2.5: 52.1 (#7), MiMo-V2-Pro: 41.5 (#138)
| Benchmark | Kimi K2.5 | MiMo-V2-Pro |
|---|---|---|
| CL-bench | 19.3% | 15.7% |
| CL-bench Life | 13.2% | 6.9% |
| LMArena Longer Query | 1445 | 1455 |
| Fiction.LiveBench | 86.1% | — |
Writing & Preference Kimi K2.5 leads
Kimi K2.5: 65.1 (#53), MiMo-V2-Pro: 62.8 (#70)
| Benchmark | Kimi K2.5 | MiMo-V2-Pro |
|---|---|---|
| LMArena Text | 1445 | 1436 |
| LMArena Creative Writing | 1423 | 1415 |
| LMArena Multi-Turn | 1444 | 1456 |
| EQ-Bench Creative Writing | 1579 | — |
Frequently asked questions
Is Kimi K2.5 better than MiMo-V2-Pro?
Kimi K2.5 is the stronger model overall, scoring 48.1 to 43.0 on the Noometry Index. MiMo-V2-Pro costs 1.7× less per token, which makes it the better buy when Kimi K2.5's lead doesn't matter for your workload.
Which is cheaper, Kimi K2.5 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 K2.5 lists at $0.45 and $2.25.
Is Kimi K2.5 or MiMo-V2-Pro better for coding?
Kimi K2.5 scores higher on coding benchmarks: 48.8 versus 43.8 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2-Pro does, with 1.05M tokens against 262K.
How many benchmarks do Kimi K2.5 and MiMo-V2-Pro share?
23 benchmarks have published results for both models. Kimi K2.5 has 51 scored results on Noometry and MiMo-V2-Pro has 23.