Model comparison
Gemini 2.5 Pro vs MiMo-V2.5-Pro
Gemini 2.5 Pro and MiMo-V2.5-Pro score almost the same on the Noometry Index (45.0 vs 45.2), so choose on price, context window or the category you care about most.
Last verified . 24 shared benchmarks.
GoogleSummary
- They share 24 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 4 categories and MiMo-V2.5-Pro in 4 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in long context, where Gemini 2.5 Pro leads 59.8 to 45.4.
- The biggest single-benchmark swing is SciCode: 42.8% for Gemini 2.5 Pro and 50.2% for MiMo-V2.5-Pro.
- MiMo-V2.5-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $1.25 / $10 for Gemini 2.5 Pro.
- MiMo-V2.5-Pro has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Pro | MiMo-V2.5-Pro | |
|---|---|---|
| Provider | Xiaomi | |
| Noometry Index | 45.0 | 45.2 |
| Released | 2025-03-25 | 2026-04-22 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 1.05M |
| Max output | 66K | 131K |
| Input $ / M tokens | $1.25 | $0.43 |
| Output $ / M tokens | $10 | $0.87 |
| Results tracked | 78 | 27 |
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Category by category
Coding MiMo-V2.5-Pro leads
Gemini 2.5 Pro: 42.4 (#101), MiMo-V2.5-Pro: 47.4 (#60)
| Benchmark | Gemini 2.5 Pro | MiMo-V2.5-Pro |
|---|---|---|
| LMArena WebDev | 1227 | 1479 |
| SciCode | 42.8% | 50.2% |
| LMArena Coding | 1452 | 1503 |
| ALE-Bench | 785.52 | 899.8 |
| SWE-bench Verified | 57.6% | — |
| SWE-bench Verified (bash only) | 53.6% | — |
| Aider Polyglot | 83.1% | — |
| GSO | 3.9% | — |
| WeirdML | 54% | — |
| LiveBench Coding | 85.9% | — |
| CadEval | 64% | — |
| AlgoTune | 1.51 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Pro: 29.2 (#88), MiMo-V2.5-Pro: —
| Benchmark | Gemini 2.5 Pro | MiMo-V2.5-Pro |
|---|---|---|
| Terminal-Bench | 32.6% | — |
| GDPval | 23.3% | — |
| Remote Labor Index | 0.8% | — |
| TheAgentCompany | 30.3% | — |
| τ²-bench Banking | 13.7% | — |
| DeepResearch Bench | 42.8% | — |
| BALROG | 43.3% | — |
| LMArena Search | 1142 | — |
| METR Time Horizons | 55.4% | — |
| Vending-Bench 2 | 573.64 | — |
Reasoning Gemini 2.5 Pro leads
Gemini 2.5 Pro: 28.8 (#99), MiMo-V2.5-Pro: 26.8 (#130)
| Benchmark | Gemini 2.5 Pro | MiMo-V2.5-Pro |
|---|---|---|
| CritPt | 2% | 4% |
| LMArena Hard Prompts | 1455 | 1488 |
| DTBench | 82.4% | 84.5% |
| LMCA | 34.8% | 29.5% |
| ARC-AGI-2 | 4.9% | — |
| SimpleBench | 62.4% | — |
| Kagi LLM Benchmark | 70.3% | — |
| NYT Connections (extended) | — | 34.4% |
| ARC-AGI-1 | 41% | — |
| Chess Puzzles | 20% | — |
| EnigmaEval | 5.6% | — |
| LiveBench Reasoning | 89.8% | — |
| LiveBench Data Analysis | 79.9% | — |
| Epoch Capabilities Index | 145.32 | — |
| ForecastBench | 61.3 | — |
| LiveBench | 82.3% | — |
Math MiMo-V2.5-Pro leads
Gemini 2.5 Pro: 32.5 (#213), MiMo-V2.5-Pro: 40.0 (#96)
| Benchmark | Gemini 2.5 Pro | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Math | 1450 | 1481 |
| FrontierMath (Tiers 1-3) | 24.6% | — |
| FrontierMath Tier 4 | 0% | — |
| OTIS Mock AIME 2024-2025 | 84.7% | — |
| ProofBench | — | 22% |
| Omni-MATH | 41.6% | — |
| LiveBench Math | 90.2% | — |
| MATH Level 5 | 95.9% | — |
| FrontierMath (Feb 2025 set) | 14.1% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Gemini 2.5 Pro leads
Gemini 2.5 Pro: 56.0 (#46), MiMo-V2.5-Pro: 42.2 (#98)
| Benchmark | Gemini 2.5 Pro | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Expert | 1452 | 1503 |
| GPQA Diamond | 85.3% | — |
| Humanity's Last Exam | 21.6% | — |
| MMLU-Pro | 86.3% | — |
| Confabulations | 10.6% | — |
| Vectara Hallucination Rate | 7% | — |
| GPQA (HELM) | 74.9% | — |
Multimodal Not comparable
Gemini 2.5 Pro: 45.2 (#18), MiMo-V2.5-Pro: —
| Benchmark | Gemini 2.5 Pro | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Vision | 1263 | — |
| GeoBench | 86% | — |
| VPCT | 48% | — |
| LMArena Document | 1421 | — |
| SpatialViz-Bench | 44.7% | — |
Multilingual Too close to call
Gemini 2.5 Pro: 55.3 (#31), MiMo-V2.5-Pro: 55.1 (#34)
| Benchmark | Gemini 2.5 Pro | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Non-English | 1451 | 1449 |
| LMArena Chinese | 1507 | 1507 |
| LMArena French | 1472 | 1488 |
| LMArena German | 1487 | 1458 |
| LMArena Japanese | 1461 | 1412 |
| LMArena Korean | 1434 | 1437 |
| LMArena Russian | 1461 | 1450 |
| LMArena Spanish | 1473 | 1471 |
Instruction Following MiMo-V2.5-Pro leads
Gemini 2.5 Pro: 75.0 (#75), MiMo-V2.5-Pro: 77.5 (#21)
| Benchmark | Gemini 2.5 Pro | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Instruction Following | 1437 | 1477 |
| LiveBench Instruction Following | 80.6% | — |
| IFEval | 84% | — |
Long Context Gemini 2.5 Pro leads
Gemini 2.5 Pro: 59.8 (#5), MiMo-V2.5-Pro: 45.4 (#37)
| Benchmark | Gemini 2.5 Pro | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Longer Query | 1449 | 1483 |
| Fiction.LiveBench | 91.7% | — |
Writing & Preference MiMo-V2.5-Pro leads
Gemini 2.5 Pro: 63.7 (#62), MiMo-V2.5-Pro: 65.3 (#49)
| Benchmark | Gemini 2.5 Pro | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Text | 1458 | 1465 |
| LMArena Creative Writing | 1454 | 1440 |
| EQ-Bench Creative Writing | 1421 | 1493 |
| LMArena Multi-Turn | 1453 | 1477 |
| Short-Story Creative Writing | 83.8% | — |
| WildBench | 85.7% | — |
| EQ-Bench 4 | — | 1208 |
| LiveBench Language | 67.8% | — |
Frequently asked questions
Is Gemini 2.5 Pro better than MiMo-V2.5-Pro?
Gemini 2.5 Pro and MiMo-V2.5-Pro score almost the same on the Noometry Index (45.0 vs 45.2), so choose on price, context window or the category you care about most.
Which is cheaper, Gemini 2.5 Pro 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; Gemini 2.5 Pro lists at $1.25 and $10.
Is Gemini 2.5 Pro or MiMo-V2.5-Pro better for coding?
MiMo-V2.5-Pro scores higher on coding benchmarks: 47.4 versus 42.4 in the Noometry coding category.
Which has the bigger context window?
Both accept 1.05M tokens.
How many benchmarks do Gemini 2.5 Pro and MiMo-V2.5-Pro share?
24 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and MiMo-V2.5-Pro has 27.