Model comparison
Gemini 2.5 Flash vs MiMo-V2-Omni
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 39.3 on the Noometry Index.
Last verified . 18 shared benchmarks.
GoogleSummary
- They share 18 benchmarks with published results for both. Gemini 2.5 Flash scores higher in 5 categories and MiMo-V2-Omni in 4 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where MiMo-V2-Omni leads 29.7 to 18.1.
- MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.30 / $2.50 for Gemini 2.5 Flash.
- Gemini 2.5 Flash accepts more context: 1.05M tokens versus 262K.
Side by side
| Gemini 2.5 Flash | MiMo-V2-Omni | |
|---|---|---|
| Provider | Xiaomi | |
| Noometry Index | 39.3 | 43.6 |
| Released | 2025-04-17 | 2026-03-18 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 262K |
| Max output | 66K | 131K |
| Input $ / M tokens | $0.30 | $0.14 |
| Output $ / M tokens | $2.50 | $0.28 |
| Results tracked | 54 | 18 |
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Category by category
Coding MiMo-V2-Omni leads
Gemini 2.5 Flash: 35.8 (#220), MiMo-V2-Omni: 43.3 (#89)
| Benchmark | Gemini 2.5 Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Coding | 1424 | 1466 |
| SWE-bench Verified (bash only) | 28.7% | — |
| Aider Polyglot | 55.1% | — |
| WeirdML | 41.9% | — |
| ALE-Bench | 661.88 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Flash: 30.8 (#74), MiMo-V2-Omni: —
| Benchmark | Gemini 2.5 Flash | MiMo-V2-Omni |
|---|---|---|
| Terminal-Bench | 17.1% | — |
| Berkeley Function Calling Leaderboard | 56.2% | — |
| TheAgentCompany | 41.1% | — |
| BALROG | 33.5% | — |
| Vending-Bench 2 | 548.84 | — |
Reasoning MiMo-V2-Omni leads
Gemini 2.5 Flash: 18.1 (#286), MiMo-V2-Omni: 29.7 (#88)
| Benchmark | Gemini 2.5 Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Hard Prompts | 1422 | 1445 |
| ARC-AGI-2 | 2.5% | — |
| SimpleBench | 41.2% | — |
| Kagi LLM Benchmark | 56.8% | — |
| ARC-AGI-1 | 33.3% | — |
| CritPt | 1.1% | — |
| EnigmaEval | 2.7% | — |
| DTBench | 76.5% | — |
| LMCA | 27.5% | — |
| Epoch Capabilities Index | 143.03 | — |
| ForecastBench | 60.6 | — |
Math Too close to call
Gemini 2.5 Flash: 39.9 (#98), MiMo-V2-Omni: 39.1 (#115)
| Benchmark | Gemini 2.5 Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Math | 1415 | 1430 |
| OTIS Mock AIME 2024-2025 | 73.1% | — |
| Omni-MATH | 38.5% | — |
| FrontierMath (Feb 2025 set) | 4.8% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge MiMo-V2-Omni leads
Gemini 2.5 Flash: 36.4 (#168), MiMo-V2-Omni: 40.5 (#118)
| Benchmark | Gemini 2.5 Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Expert | 1426 | 1449 |
| Humanity's Last Exam | 12.1% | — |
| MMLU-Pro | 63.9% | — |
| Confabulations | 16.8% | — |
| Vectara Hallucination Rate | 7.8% | — |
| GPQA (HELM) | 39% | — |
Multimodal Gemini 2.5 Flash leads
Gemini 2.5 Flash: 41.8 (#32), MiMo-V2-Omni: 38.6 (#63)
| Benchmark | Gemini 2.5 Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Vision | 1253 | 1228 |
| GeoBench | 76% | — |
| VPCT | 46.2% | — |
| SpatialViz-Bench | 36.9% | — |
Multilingual Too close to call
Gemini 2.5 Flash: 52.3 (#88), MiMo-V2-Omni: 51.8 (#102)
| Benchmark | Gemini 2.5 Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Non-English | 1409 | 1404 |
| LMArena Chinese | 1450 | 1465 |
| LMArena French | 1433 | 1447 |
| LMArena German | 1418 | 1399 |
| LMArena Japanese | 1405 | 1317 |
| LMArena Korean | 1385 | 1355 |
| LMArena Russian | 1415 | 1412 |
| LMArena Spanish | 1421 | 1434 |
Instruction Following Too close to call
Gemini 2.5 Flash: 75.7 (#54), MiMo-V2-Omni: 75.2 (#66)
| Benchmark | Gemini 2.5 Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Instruction Following | 1405 | 1428 |
| IFEval | 89.8% | — |
Long Context Gemini 2.5 Flash leads
Gemini 2.5 Flash: 47.5 (#17), MiMo-V2-Omni: 44.1 (#76)
| Benchmark | Gemini 2.5 Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Longer Query | 1419 | 1442 |
| Fiction.LiveBench | 77.8% | — |
Writing & Preference MiMo-V2-Omni leads
Gemini 2.5 Flash: 53.8 (#157), MiMo-V2-Omni: 61.4 (#87)
| Benchmark | Gemini 2.5 Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Text | 1417 | 1423 |
| LMArena Creative Writing | 1400 | 1392 |
| LMArena Multi-Turn | 1408 | 1445 |
| Short-Story Creative Writing | 76.5% | — |
| EQ-Bench Creative Writing | 1137 | — |
| WildBench | 81.7% | — |
Frequently asked questions
Is Gemini 2.5 Flash better than MiMo-V2-Omni?
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 39.3 on the Noometry Index.
Which is cheaper, Gemini 2.5 Flash or MiMo-V2-Omni?
MiMo-V2-Omni is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Gemini 2.5 Flash lists at $0.30 and $2.50.
Is Gemini 2.5 Flash or MiMo-V2-Omni better for coding?
MiMo-V2-Omni scores higher on coding benchmarks: 43.3 versus 35.8 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Flash does, with 1.05M tokens against 262K.
How many benchmarks do Gemini 2.5 Flash and MiMo-V2-Omni share?
18 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and MiMo-V2-Omni has 18.