Model comparison
Gemini 2.5 Flash-Lite vs MiMo-V2-Flash
MiMo-V2-Flash is the stronger model overall, scoring 40.8 to 36.4 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 1 category and MiMo-V2-Flash in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in long context, where MiMo-V2-Flash leads 43.0 to 33.3.
- Both cost about the same: $0.10 input and $0.40 output per million tokens.
- Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 262K.
- MiMo-V2-Flash has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Flash-Lite | MiMo-V2-Flash | |
|---|---|---|
| Provider | Xiaomi | |
| Noometry Index | 36.4 | 40.8 |
| Released | 2025-06-17 | 2025-12-16 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 66K | 66K |
| Input $ / M tokens | $0.10 | $0.14 |
| Output $ / M tokens | $0.40 | $0.28 |
| Results tracked | 33 | 21 |
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Category by category
Coding Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 38.0 (#167), MiMo-V2-Flash: 35.8 (#205)
| Benchmark | Gemini 2.5 Flash-Lite | MiMo-V2-Flash |
|---|---|---|
| LMArena Coding | 1373 | 1443 |
| ALE-Bench | 325.9 | 737.95 |
| LMArena WebDev | — | 1330 |
| SciCode | — | 25.9% |
| WeirdML | 35.2% | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Flash-Lite: 27.8 (#89), MiMo-V2-Flash: —
| Benchmark | Gemini 2.5 Flash-Lite | MiMo-V2-Flash |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | — |
Reasoning MiMo-V2-Flash leads
Gemini 2.5 Flash-Lite: 21.5 (#196), MiMo-V2-Flash: 24.1 (#155)
| Benchmark | Gemini 2.5 Flash-Lite | MiMo-V2-Flash |
|---|---|---|
| LMArena Hard Prompts | 1377 | 1420 |
| Kagi LLM Benchmark | 40.5% | — |
| CritPt | — | 0% |
| DTBench | 62.8% | — |
| LMCA | 18.1% | — |
| Epoch Capabilities Index | 133.93 | — |
Math Too close to call
Gemini 2.5 Flash-Lite: 35.5 (#144), MiMo-V2-Flash: 35.6 (#141)
| Benchmark | Gemini 2.5 Flash-Lite | MiMo-V2-Flash |
|---|---|---|
| LMArena Math | 1373 | 1396 |
| Omni-MATH | 48% | — |
Knowledge MiMo-V2-Flash leads
Gemini 2.5 Flash-Lite: 32.1 (#206), MiMo-V2-Flash: 39.1 (#126)
| Benchmark | Gemini 2.5 Flash-Lite | MiMo-V2-Flash |
|---|---|---|
| LMArena Expert | 1373 | 1425 |
| 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-Flash: —
| Benchmark | Gemini 2.5 Flash-Lite | MiMo-V2-Flash |
|---|---|---|
| LMArena Vision | 1198 | — |
| VPCT | 30% | — |
Multilingual MiMo-V2-Flash leads
Gemini 2.5 Flash-Lite: 49.5 (#129), MiMo-V2-Flash: 51.1 (#109)
| Benchmark | Gemini 2.5 Flash-Lite | MiMo-V2-Flash |
|---|---|---|
| LMArena Non-English | 1369 | 1391 |
| LMArena Chinese | 1404 | 1463 |
| LMArena French | 1388 | 1429 |
| LMArena German | 1390 | 1395 |
| LMArena Japanese | 1359 | 1324 |
| LMArena Korean | 1358 | 1358 |
| LMArena Russian | 1373 | 1387 |
| LMArena Spanish | 1396 | 1420 |
Instruction Following MiMo-V2-Flash leads
Gemini 2.5 Flash-Lite: 70.2 (#163), MiMo-V2-Flash: 73.7 (#115)
| Benchmark | Gemini 2.5 Flash-Lite | MiMo-V2-Flash |
|---|---|---|
| LMArena Instruction Following | 1366 | 1392 |
| IFEval | 81% | — |
Long Context MiMo-V2-Flash leads
Gemini 2.5 Flash-Lite: 33.3 (#257), MiMo-V2-Flash: 43.0 (#106)
| Benchmark | Gemini 2.5 Flash-Lite | MiMo-V2-Flash |
|---|---|---|
| LMArena Longer Query | 1373 | 1409 |
| Fiction.LiveBench | 47.2% | — |
Writing & Preference MiMo-V2-Flash leads
Gemini 2.5 Flash-Lite: 57.0 (#130), MiMo-V2-Flash: 59.9 (#101)
| Benchmark | Gemini 2.5 Flash-Lite | MiMo-V2-Flash |
|---|---|---|
| LMArena Text | 1379 | 1411 |
| LMArena Creative Writing | 1366 | 1375 |
| LMArena Multi-Turn | 1367 | 1404 |
| WildBench | 81.8% | — |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than MiMo-V2-Flash?
MiMo-V2-Flash is the stronger model overall, scoring 40.8 to 36.4 on the Noometry Index.
Which is cheaper, Gemini 2.5 Flash-Lite or MiMo-V2-Flash?
MiMo-V2-Flash is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Gemini 2.5 Flash-Lite lists at $0.10 and $0.40.
Is Gemini 2.5 Flash-Lite or MiMo-V2-Flash better for coding?
Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.0 versus 35.8 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Flash-Lite does, with 1.05M tokens against 262K.
How many benchmarks do Gemini 2.5 Flash-Lite and MiMo-V2-Flash share?
18 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and MiMo-V2-Flash has 21.