Model comparison
Gemini 2.5 Flash-Lite vs MiMo-V2.5-Pro
MiMo-V2.5-Pro is the stronger model overall, scoring 44.8 to 36.4 on the Noometry Index. Gemini 2.5 Flash-Lite costs 3.1× less per token, which makes it the better buy when MiMo-V2.5-Pro's lead doesn't matter for your workload.
Last verified . 20 shared benchmarks.
GoogleSummary
- They share 20 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 0 categories and MiMo-V2.5-Pro in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in long context, where MiMo-V2.5-Pro leads 45.4 to 33.3.
- The biggest single-benchmark swing is DTBench: 62.8% for Gemini 2.5 Flash-Lite and 84.5% for MiMo-V2.5-Pro.
- Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2.5-Pro.
- MiMo-V2.5-Pro has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Flash-Lite | MiMo-V2.5-Pro | |
|---|---|---|
| Provider | Xiaomi | |
| Noometry Index | 36.4 | 44.8 |
| Released | 2025-06-17 | 2026-04-22 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 1.05M |
| Max output | 66K | 131K |
| Input $ / M tokens | $0.10 | $0.43 |
| Output $ / M tokens | $0.40 | $0.87 |
| Results tracked | 33 | 27 |
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Category by category
Coding MiMo-V2.5-Pro leads
Gemini 2.5 Flash-Lite: 38.0 (#167), MiMo-V2.5-Pro: 47.0 (#58)
| Benchmark | Gemini 2.5 Flash-Lite | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Coding | 1373 | 1502 |
| ALE-Bench | 325.9 | 899.8 |
| LMArena WebDev | — | 1477 |
| SciCode | — | 50.2% |
| WeirdML | 35.2% | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Flash-Lite: 27.8 (#89), MiMo-V2.5-Pro: —
| Benchmark | Gemini 2.5 Flash-Lite | MiMo-V2.5-Pro |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | — |
Reasoning MiMo-V2.5-Pro leads
Gemini 2.5 Flash-Lite: 21.5 (#196), MiMo-V2.5-Pro: 25.9 (#124)
| Benchmark | Gemini 2.5 Flash-Lite | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Hard Prompts | 1377 | 1487 |
| DTBench | 62.8% | 84.5% |
| LMCA | 18.1% | 29.5% |
| Kagi LLM Benchmark | 40.5% | — |
| NYT Connections (extended) | — | 34.4% |
| CritPt | — | 4% |
| Epoch Capabilities Index | 133.93 | — |
Math MiMo-V2.5-Pro leads
Gemini 2.5 Flash-Lite: 35.5 (#144), MiMo-V2.5-Pro: 38.6 (#84)
| Benchmark | Gemini 2.5 Flash-Lite | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Math | 1373 | 1480 |
| ProofBench | — | 22% |
| Omni-MATH | 48% | — |
Knowledge MiMo-V2.5-Pro leads
Gemini 2.5 Flash-Lite: 32.1 (#206), MiMo-V2.5-Pro: 41.5 (#100)
| Benchmark | Gemini 2.5 Flash-Lite | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Expert | 1373 | 1501 |
| MMLU-Pro | 53.7% | — |
| Vectara Hallucination Rate | 3.3% | — |
| GPQA (HELM) | 30.9% | — |
Multimodal Not comparable
Gemini 2.5 Flash-Lite: 28.6 (#109), MiMo-V2.5-Pro: —
| Benchmark | Gemini 2.5 Flash-Lite | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Vision | 1198 | — |
| VPCT | 30% | — |
Multilingual MiMo-V2.5-Pro leads
Gemini 2.5 Flash-Lite: 49.5 (#129), MiMo-V2.5-Pro: 55.3 (#33)
| Benchmark | Gemini 2.5 Flash-Lite | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Non-English | 1369 | 1449 |
| LMArena Chinese | 1404 | 1507 |
| LMArena French | 1388 | 1489 |
| LMArena German | 1390 | 1455 |
| LMArena Japanese | 1359 | 1418 |
| LMArena Korean | 1358 | 1436 |
| LMArena Russian | 1373 | 1450 |
| LMArena Spanish | 1396 | 1470 |
Instruction Following MiMo-V2.5-Pro leads
Gemini 2.5 Flash-Lite: 70.2 (#163), MiMo-V2.5-Pro: 77.6 (#21)
| Benchmark | Gemini 2.5 Flash-Lite | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Instruction Following | 1366 | 1477 |
| IFEval | 81% | — |
Long Context MiMo-V2.5-Pro leads
Gemini 2.5 Flash-Lite: 33.3 (#257), MiMo-V2.5-Pro: 45.4 (#38)
| Benchmark | Gemini 2.5 Flash-Lite | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Longer Query | 1373 | 1482 |
| Fiction.LiveBench | 47.2% | — |
Writing & Preference MiMo-V2.5-Pro leads
Gemini 2.5 Flash-Lite: 57.0 (#130), MiMo-V2.5-Pro: 65.5 (#47)
| Benchmark | Gemini 2.5 Flash-Lite | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Text | 1379 | 1465 |
| LMArena Creative Writing | 1366 | 1440 |
| LMArena Multi-Turn | 1367 | 1477 |
| EQ-Bench Creative Writing | — | 1493 |
| WildBench | 81.8% | — |
| EQ-Bench 4 | — | 1208 |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than MiMo-V2.5-Pro?
MiMo-V2.5-Pro is the stronger model overall, scoring 44.8 to 36.4 on the Noometry Index. Gemini 2.5 Flash-Lite costs 3.1× less per token, which makes it the better buy when MiMo-V2.5-Pro's lead doesn't matter for your workload.
Which is cheaper, Gemini 2.5 Flash-Lite or MiMo-V2.5-Pro?
Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; MiMo-V2.5-Pro lists at $0.43 and $0.87.
Is Gemini 2.5 Flash-Lite or MiMo-V2.5-Pro better for coding?
MiMo-V2.5-Pro scores higher on coding benchmarks: 47.0 versus 38.0 in the Noometry coding category.
Which has the bigger context window?
Both accept 1.05M tokens.
How many benchmarks do Gemini 2.5 Flash-Lite and MiMo-V2.5-Pro share?
20 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and MiMo-V2.5-Pro has 27.