Model comparison
Gemini 2.5 Flash-Lite vs MiMo-V2.6-Pro
MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 37.0 on the Noometry Index. Gemini 2.5 Flash-Lite costs 3.1× less per token, which makes it the better buy when MiMo-V2.6-Pro's lead doesn't matter for your workload.
Last verified . 14 shared benchmarks.
GoogleSummary
- They share 14 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 0 categories and MiMo-V2.6-Pro in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where MiMo-V2.6-Pro leads 43.1 to 22.2.
- Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2.6-Pro.
- MiMo-V2.6-Pro has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Flash-Lite | MiMo-V2.6-Pro | |
|---|---|---|
| Provider | Xiaomi | |
| Noometry Index | 37.0 | 50.3 |
| Released | 2025-06-17 | 2026-09-21 |
| 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 | 19 |
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Category by category
Coding MiMo-V2.6-Pro leads
Gemini 2.5 Flash-Lite: 38.5 (#173), MiMo-V2.6-Pro: 55.5 (#23)
| Benchmark | Gemini 2.5 Flash-Lite | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Coding | 1373 | 1534 |
| ALE-Bench | 325.9 | 1,158 |
| LMArena WebDev | — | 1629 |
| SciCode | — | 60.9% |
| WeirdML | 35.2% | — |
Agentic & Tool Use MiMo-V2.6-Pro leads
Gemini 2.5 Flash-Lite: 28.0 (#96), MiMo-V2.6-Pro: 37.5 (#35)
| Benchmark | Gemini 2.5 Flash-Lite | MiMo-V2.6-Pro |
|---|---|---|
| APEX-Agents | — | 59.5% |
| Berkeley Function Calling Leaderboard | 36.9% | — |
Reasoning MiMo-V2.6-Pro leads
Gemini 2.5 Flash-Lite: 22.2 (#205), MiMo-V2.6-Pro: 43.1 (#50)
| Benchmark | Gemini 2.5 Flash-Lite | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Hard Prompts | 1377 | 1512 |
| Kagi LLM Benchmark | 40.5% | — |
| CritPt | — | 26.6% |
| DTBench | 62.8% | — |
| LMCA | 18.1% | — |
| Epoch Capabilities Index | 133.94 | — |
Math MiMo-V2.6-Pro leads
Gemini 2.5 Flash-Lite: 38.0 (#144), MiMo-V2.6-Pro: 54.5 (#45)
| Benchmark | Gemini 2.5 Flash-Lite | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Math | 1373 | 1494 |
| ProofBench | — | 70% |
| Omni-MATH | 48% | — |
Knowledge MiMo-V2.6-Pro leads
Gemini 2.5 Flash-Lite: 32.5 (#210), MiMo-V2.6-Pro: 43.5 (#92)
| Benchmark | Gemini 2.5 Flash-Lite | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Expert | 1373 | 1543 |
| MMLU-Pro | 53.7% | — |
| Vectara Hallucination Rate | 3.3% | — |
| GPQA (HELM) | 30.9% | — |
Multimodal MiMo-V2.6-Pro leads
Gemini 2.5 Flash-Lite: 29.1 (#114), MiMo-V2.6-Pro: 40.8 (#43)
| Benchmark | Gemini 2.5 Flash-Lite | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Vision | 1198 | 1264 |
| VPCT | 30% | — |
Multilingual MiMo-V2.6-Pro leads
Gemini 2.5 Flash-Lite: 49.3 (#134), MiMo-V2.6-Pro: 56.9 (#14)
| Benchmark | Gemini 2.5 Flash-Lite | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Non-English | 1369 | 1474 |
| LMArena Chinese | 1404 | 1529 |
| LMArena Russian | 1373 | 1480 |
| LMArena French | 1388 | — |
| LMArena German | 1389 | — |
| LMArena Japanese | 1359 | — |
| LMArena Korean | 1360 | — |
| LMArena Spanish | 1396 | — |
Instruction Following MiMo-V2.6-Pro leads
Gemini 2.5 Flash-Lite: 70.0 (#168), MiMo-V2.6-Pro: 78.2 (#12)
| Benchmark | Gemini 2.5 Flash-Lite | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Instruction Following | 1367 | 1493 |
| IFEval | 81% | — |
Long Context MiMo-V2.6-Pro leads
Gemini 2.5 Flash-Lite: 33.3 (#262), MiMo-V2.6-Pro: 46.0 (#27)
| Benchmark | Gemini 2.5 Flash-Lite | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Longer Query | 1373 | 1501 |
| Fiction.LiveBench | 47.2% | — |
Writing & Preference MiMo-V2.6-Pro leads
Gemini 2.5 Flash-Lite: 56.8 (#135), MiMo-V2.6-Pro: 66.8 (#33)
| Benchmark | Gemini 2.5 Flash-Lite | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Text | 1379 | 1492 |
| LMArena Creative Writing | 1367 | 1468 |
| LMArena Multi-Turn | 1366 | 1464 |
| WildBench | 81.8% | — |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than MiMo-V2.6-Pro?
MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 37.0 on the Noometry Index. Gemini 2.5 Flash-Lite costs 3.1× less per token, which makes it the better buy when MiMo-V2.6-Pro's lead doesn't matter for your workload.
Which is cheaper, Gemini 2.5 Flash-Lite or MiMo-V2.6-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-V2.6-Pro lists at $0.43 and $0.87.
Is Gemini 2.5 Flash-Lite or MiMo-V2.6-Pro better for coding?
MiMo-V2.6-Pro scores higher on coding benchmarks: 55.5 versus 38.5 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-V2.6-Pro share?
14 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and MiMo-V2.6-Pro has 19.