Model comparison
Kimi K2.5 vs MiMo-V2.5-Pro
Kimi K2.5 is the stronger model overall, scoring 48.1 to 45.2 on the Noometry Index. MiMo-V2.5-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 5 categories and MiMo-V2.5-Pro in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Kimi K2.5 leads 51.8 to 40.0.
- The biggest single-benchmark swing is NYT Connections (extended): 69.9% for Kimi K2.5 and 34.4% for MiMo-V2.5-Pro.
- MiMo-V2.5-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $0.45 / $2.25 for Kimi K2.5.
- MiMo-V2.5-Pro accepts more context: 1.05M tokens versus 262K.
Side by side
| Kimi K2.5 | MiMo-V2.5-Pro | |
|---|---|---|
| Provider | Moonshot AI | Xiaomi |
| Noometry Index | 48.1 | 45.2 |
| Released | 2026-01-27 | 2026-04-22 |
| Weights | Open | Open |
| 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 | 27 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Kimi K2.5 leads
Kimi K2.5: 48.8 (#53), MiMo-V2.5-Pro: 47.4 (#60)
| Benchmark | Kimi K2.5 | MiMo-V2.5-Pro |
|---|---|---|
| LMArena WebDev | 1437 | 1479 |
| SciCode | 49% | 50.2% |
| LMArena Coding | 1474 | 1503 |
| ALE-Bench | 821.65 | 899.8 |
| SWE-bench Verified | 73.8% | — |
| SWE-bench Verified (bash only) | 70.8% | — |
| SWE-bench Multilingual | 67.3% | — |
| WeirdML | 45.6% | — |
Agentic & Tool Use Not comparable
Kimi K2.5: 34.2 (#48), MiMo-V2.5-Pro: —
| Benchmark | Kimi K2.5 | MiMo-V2.5-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-V2.5-Pro: 26.8 (#130)
| Benchmark | Kimi K2.5 | MiMo-V2.5-Pro |
|---|---|---|
| NYT Connections (extended) | 69.9% | 34.4% |
| CritPt | 3.1% | 4% |
| LMArena Hard Prompts | 1453 | 1488 |
| ARC-AGI-2 | 11.8% | — |
| SimpleBench | 46.8% | — |
| Kagi LLM Benchmark | 78.5% | — |
| ARC-AGI-1 | 65.3% | — |
| Chess Puzzles | 12% | — |
| EnigmaEval | 3.4% | — |
| Thematic Generalization | 69.4% | — |
| DTBench | — | 84.5% |
| LMCA | — | 29.5% |
| Epoch Capabilities Index | 148.03 | — |
Math Kimi K2.5 leads
Kimi K2.5: 51.8 (#53), MiMo-V2.5-Pro: 40.0 (#96)
| Benchmark | Kimi K2.5 | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Math | 1470 | 1481 |
| MathArena Final-Answer Competitions | 62.3% | — |
| OTIS Mock AIME 2024-2025 | 92.2% | — |
| ProofBench | — | 22% |
| FrontierMath (Feb 2025 set) | 27.9% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Kimi K2.5 leads
Kimi K2.5: 53.6 (#56), MiMo-V2.5-Pro: 42.2 (#98)
| Benchmark | Kimi K2.5 | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Expert | 1466 | 1503 |
| 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-V2.5-Pro: —
| Benchmark | Kimi K2.5 | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Vision | 1269 | — |
| LMArena Document | 1430 | — |
Multilingual MiMo-V2.5-Pro leads
Kimi K2.5: 53.9 (#53), MiMo-V2.5-Pro: 55.1 (#34)
| Benchmark | Kimi K2.5 | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Non-English | 1433 | 1449 |
| LMArena Chinese | 1495 | 1507 |
| LMArena French | 1454 | 1488 |
| LMArena German | 1441 | 1458 |
| LMArena Japanese | 1421 | 1412 |
| LMArena Korean | 1410 | 1437 |
| LMArena Russian | 1435 | 1450 |
| LMArena Spanish | 1450 | 1471 |
Instruction Following MiMo-V2.5-Pro leads
Kimi K2.5: 75.3 (#64), MiMo-V2.5-Pro: 77.5 (#21)
| Benchmark | Kimi K2.5 | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Instruction Following | 1431 | 1477 |
Long Context Kimi K2.5 leads
Kimi K2.5: 52.1 (#7), MiMo-V2.5-Pro: 45.4 (#37)
| Benchmark | Kimi K2.5 | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Longer Query | 1445 | 1483 |
| Fiction.LiveBench | 86.1% | — |
| CL-bench | 19.3% | — |
| CL-bench Life | 13.2% | — |
Writing & Preference Too close to call
Kimi K2.5: 65.1 (#53), MiMo-V2.5-Pro: 65.3 (#49)
| Benchmark | Kimi K2.5 | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Text | 1445 | 1465 |
| LMArena Creative Writing | 1423 | 1440 |
| EQ-Bench Creative Writing | 1579 | 1493 |
| LMArena Multi-Turn | 1444 | 1477 |
| EQ-Bench 4 | — | 1208 |
Frequently asked questions
Is Kimi K2.5 better than MiMo-V2.5-Pro?
Kimi K2.5 is the stronger model overall, scoring 48.1 to 45.2 on the Noometry Index. MiMo-V2.5-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-V2.5-Pro?
MiMo-V2.5-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-V2.5-Pro better for coding?
Kimi K2.5 scores higher on coding benchmarks: 48.8 versus 47.4 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.5-Pro does, with 1.05M tokens against 262K.
How many benchmarks do Kimi K2.5 and MiMo-V2.5-Pro share?
23 benchmarks have published results for both models. Kimi K2.5 has 51 scored results on Noometry and MiMo-V2.5-Pro has 27.