Model comparison
Gemini 2.5 Pro vs MiMo-V2.5
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 43.4 on the Noometry Index. MiMo-V2.5 costs 20× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.
Last verified . 22 shared benchmarks.
GoogleSummary
- They share 22 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 6 categories and MiMo-V2.5 in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in long context, where Gemini 2.5 Pro leads 59.8 to 44.2.
- MiMo-V2.5 is cheaper at $0.14 / $0.28 per million input/output tokens, against $1.25 / $10 for Gemini 2.5 Pro.
- MiMo-V2.5 has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Pro | MiMo-V2.5 | |
|---|---|---|
| Provider | Xiaomi | |
| Noometry Index | 45.0 | 43.4 |
| 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 | $0.14 |
| Output $ / M tokens | $10 | $0.28 |
| Results tracked | 78 | 23 |
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Category by category
Coding MiMo-V2.5 leads
Gemini 2.5 Pro: 42.4 (#101), MiMo-V2.5: 43.9 (#81)
| Benchmark | Gemini 2.5 Pro | MiMo-V2.5 |
|---|---|---|
| LMArena WebDev | 1227 | 1438 |
| SciCode | 42.8% | 43.1% |
| LMArena Coding | 1452 | 1469 |
| ALE-Bench | 785.52 | 513.95 |
| 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: —
| Benchmark | Gemini 2.5 Pro | MiMo-V2.5 |
|---|---|---|
| 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 Too close to call
Gemini 2.5 Pro: 28.8 (#99), MiMo-V2.5: 28.6 (#101)
| Benchmark | Gemini 2.5 Pro | MiMo-V2.5 |
|---|---|---|
| CritPt | 2% | 3.7% |
| LMArena Hard Prompts | 1455 | 1450 |
| ARC-AGI-2 | 4.9% | — |
| SimpleBench | 62.4% | — |
| Kagi LLM Benchmark | 70.3% | — |
| ARC-AGI-1 | 41% | — |
| Chess Puzzles | 20% | — |
| EnigmaEval | 5.6% | — |
| 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-V2.5 leads
Gemini 2.5 Pro: 32.5 (#213), MiMo-V2.5: 36.8 (#163)
| Benchmark | Gemini 2.5 Pro | MiMo-V2.5 |
|---|---|---|
| LMArena Math | 1450 | 1436 |
| FrontierMath (Tiers 1-3) | 24.6% | — |
| FrontierMath Tier 4 | 0% | — |
| OTIS Mock AIME 2024-2025 | 84.7% | — |
| ProofBench | — | 16% |
| 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: 40.8 (#115)
| Benchmark | Gemini 2.5 Pro | MiMo-V2.5 |
|---|---|---|
| LMArena Expert | 1452 | 1460 |
| 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 Gemini 2.5 Pro leads
Gemini 2.5 Pro: 45.2 (#18), MiMo-V2.5: 39.8 (#54)
| Benchmark | Gemini 2.5 Pro | MiMo-V2.5 |
|---|---|---|
| LMArena Vision | 1263 | 1247 |
| 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-V2.5: 51.9 (#99)
| Benchmark | Gemini 2.5 Pro | MiMo-V2.5 |
|---|---|---|
| LMArena Non-English | 1451 | 1404 |
| LMArena Chinese | 1507 | 1468 |
| LMArena French | 1472 | 1447 |
| LMArena German | 1487 | 1421 |
| LMArena Japanese | 1461 | 1306 |
| LMArena Korean | 1434 | 1363 |
| LMArena Russian | 1461 | 1395 |
| LMArena Spanish | 1473 | 1416 |
Instruction Following Too close to call
Gemini 2.5 Pro: 75.0 (#75), MiMo-V2.5: 75.5 (#60)
| Benchmark | Gemini 2.5 Pro | MiMo-V2.5 |
|---|---|---|
| LMArena Instruction Following | 1437 | 1434 |
| LiveBench Instruction Following | 80.6% | — |
| IFEval | 84% | — |
Long Context Gemini 2.5 Pro leads
Gemini 2.5 Pro: 59.8 (#5), MiMo-V2.5: 44.2 (#73)
| Benchmark | Gemini 2.5 Pro | MiMo-V2.5 |
|---|---|---|
| LMArena Longer Query | 1449 | 1445 |
| Fiction.LiveBench | 91.7% | — |
Writing & Preference Gemini 2.5 Pro leads
Gemini 2.5 Pro: 63.7 (#62), MiMo-V2.5: 61.6 (#86)
| Benchmark | Gemini 2.5 Pro | MiMo-V2.5 |
|---|---|---|
| LMArena Text | 1458 | 1428 |
| LMArena Creative Writing | 1454 | 1393 |
| LMArena Multi-Turn | 1453 | 1445 |
| 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-V2.5?
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 43.4 on the Noometry Index. MiMo-V2.5 costs 20× 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-V2.5?
MiMo-V2.5 is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Gemini 2.5 Pro lists at $1.25 and $10.
Is Gemini 2.5 Pro or MiMo-V2.5 better for coding?
MiMo-V2.5 scores higher on coding benchmarks: 43.9 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 share?
22 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and MiMo-V2.5 has 23.