Model comparison
Gemini 2.5 Pro vs MiMo-V2-Pro
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 43.0 on the Noometry Index. MiMo-V2-Pro costs 6.3× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.
Last verified . 19 shared benchmarks.
GoogleSummary
- They share 19 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 5 categories and MiMo-V2-Pro in 3 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in long context, where Gemini 2.5 Pro leads 59.8 to 41.5.
- MiMo-V2-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $1.25 / $10 for Gemini 2.5 Pro.
Side by side
| Gemini 2.5 Pro | MiMo-V2-Pro | |
|---|---|---|
| Provider | Xiaomi | |
| Noometry Index | 45.0 | 43.0 |
| Released | 2025-03-25 | 2026-03-18 |
| Weights | Proprietary | Proprietary |
| 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 | 23 |
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Category by category
Coding MiMo-V2-Pro leads
Gemini 2.5 Pro: 42.4 (#101), MiMo-V2-Pro: 43.8 (#83)
| Benchmark | Gemini 2.5 Pro | MiMo-V2-Pro |
|---|---|---|
| LMArena WebDev | 1227 | 1433 |
| LMArena Coding | 1452 | 1476 |
| ALE-Bench | 785.52 | 785.17 |
| SWE-bench Verified | 57.6% | — |
| SWE-bench Verified (bash only) | 53.6% | — |
| Aider Polyglot | 83.1% | — |
| SciCode | 42.8% | — |
| 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-Pro: —
| Benchmark | Gemini 2.5 Pro | MiMo-V2-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-Pro: 22.1 (#206)
| Benchmark | Gemini 2.5 Pro | MiMo-V2-Pro |
|---|---|---|
| LMArena Hard Prompts | 1455 | 1457 |
| ARC-AGI-2 | 4.9% | — |
| SimpleBench | 62.4% | — |
| Kagi LLM Benchmark | 70.3% | — |
| NYT Connections (extended) | — | 25.8% |
| ARC-AGI-1 | 41% | — |
| CritPt | 2% | — |
| Chess Puzzles | 20% | — |
| EnigmaEval | 5.6% | — |
| Thematic Generalization | — | 45.9% |
| LiveBench Reasoning | 89.8% | — |
| DTBench | 82.4% | — |
| LiveBench Data Analysis | 79.9% | — |
| LMCA | 34.8% | — |
| Epoch Capabilities Index | 145.32 | — |
| ForecastBench | 61.3 | — |
| LiveBench | 82.3% | — |
Math MiMo-V2-Pro leads
Gemini 2.5 Pro: 32.5 (#213), MiMo-V2-Pro: 39.5 (#102)
| Benchmark | Gemini 2.5 Pro | MiMo-V2-Pro |
|---|---|---|
| LMArena Math | 1450 | 1447 |
| FrontierMath (Tiers 1-3) | 24.6% | — |
| FrontierMath Tier 4 | 0% | — |
| OTIS Mock AIME 2024-2025 | 84.7% | — |
| 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-Pro: 41.4 (#111)
| Benchmark | Gemini 2.5 Pro | MiMo-V2-Pro |
|---|---|---|
| LMArena Expert | 1452 | 1478 |
| 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-Pro: —
| Benchmark | Gemini 2.5 Pro | MiMo-V2-Pro |
|---|---|---|
| LMArena Vision | 1263 | — |
| GeoBench | 86% | — |
| VPCT | 48% | — |
| LMArena Document | 1421 | — |
| SpatialViz-Bench | 44.7% | — |
Multilingual Gemini 2.5 Pro leads
Gemini 2.5 Pro: 55.3 (#31), MiMo-V2-Pro: 52.7 (#81)
| Benchmark | Gemini 2.5 Pro | MiMo-V2-Pro |
|---|---|---|
| LMArena Non-English | 1451 | 1416 |
| LMArena Chinese | 1507 | 1456 |
| LMArena French | 1472 | 1469 |
| LMArena German | 1487 | 1417 |
| LMArena Japanese | 1461 | 1366 |
| LMArena Korean | 1434 | 1400 |
| LMArena Russian | 1461 | 1427 |
| LMArena Spanish | 1473 | 1457 |
Instruction Following Too close to call
Gemini 2.5 Pro: 75.0 (#75), MiMo-V2-Pro: 76.0 (#49)
| Benchmark | Gemini 2.5 Pro | MiMo-V2-Pro |
|---|---|---|
| LMArena Instruction Following | 1437 | 1445 |
| LiveBench Instruction Following | 80.6% | — |
| IFEval | 84% | — |
Long Context Gemini 2.5 Pro leads
Gemini 2.5 Pro: 59.8 (#5), MiMo-V2-Pro: 41.5 (#138)
| Benchmark | Gemini 2.5 Pro | MiMo-V2-Pro |
|---|---|---|
| LMArena Longer Query | 1449 | 1455 |
| Fiction.LiveBench | 91.7% | — |
| CL-bench | — | 15.7% |
| CL-bench Life | — | 6.9% |
Writing & Preference Too close to call
Gemini 2.5 Pro: 63.7 (#62), MiMo-V2-Pro: 62.8 (#70)
| Benchmark | Gemini 2.5 Pro | MiMo-V2-Pro |
|---|---|---|
| LMArena Text | 1458 | 1436 |
| LMArena Creative Writing | 1454 | 1415 |
| LMArena Multi-Turn | 1453 | 1456 |
| Short-Story Creative Writing | 83.8% | — |
| EQ-Bench Creative Writing | 1421 | — |
| WildBench | 85.7% | — |
| LiveBench Language | 67.8% | — |
Frequently asked questions
Is Gemini 2.5 Pro better than MiMo-V2-Pro?
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 43.0 on the Noometry Index. MiMo-V2-Pro costs 6.3× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.
Which is cheaper, Gemini 2.5 Pro 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; Gemini 2.5 Pro lists at $1.25 and $10.
Is Gemini 2.5 Pro or MiMo-V2-Pro better for coding?
MiMo-V2-Pro scores higher on coding benchmarks: 43.8 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-Pro share?
19 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and MiMo-V2-Pro has 23.