Model comparison
Gemini 3.7 Flash vs MiMo-V2.6-Pro
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 50.3 on the Noometry Index. MiMo-V2.6-Pro costs 2.8× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.
Last verified . 19 shared benchmarks.
GoogleSummary
- They share 19 benchmarks with published results for both. Gemini 3.7 Flash scores higher in 7 categories and MiMo-V2.6-Pro in 3 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.7 Flash leads 70.0 to 43.1.
- The biggest single-benchmark swing is CritPt: 14.3% for Gemini 3.7 Flash and 26.6% for MiMo-V2.6-Pro.
- MiMo-V2.6-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $0.75 / $3.75 for Gemini 3.7 Flash.
- MiMo-V2.6-Pro has downloadable open weights; the other is API-only.
Side by side
| Gemini 3.7 Flash | MiMo-V2.6-Pro | |
|---|---|---|
| Provider | Xiaomi | |
| Noometry Index | 59.8 | 50.3 |
| Released | 2026-08-13 | 2026-09-21 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 1.05M |
| Max output | 66K | 131K |
| Input $ / M tokens | $0.75 | $0.43 |
| Output $ / M tokens | $3.75 | $0.87 |
| Results tracked | 44 | 19 |
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Category by category
Coding Too close to call
Gemini 3.7 Flash: 56.2 (#22), MiMo-V2.6-Pro: 55.5 (#23)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.6-Pro |
|---|---|---|
| LMArena WebDev | 1592 | 1629 |
| SciCode | 59.8% | 60.9% |
| LMArena Coding | 1497 | 1534 |
| ALE-Bench | 904.3 | 1,158 |
| DeepSWE | 65.5% | — |
| FrontierCode | 43.6% | — |
| FrontierSWE | 20.3% | — |
Agentic & Tool Use Gemini 3.7 Flash leads
Gemini 3.7 Flash: 42.1 (#19), MiMo-V2.6-Pro: 37.5 (#35)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.6-Pro |
|---|---|---|
| APEX-Agents | 67.8% | 59.5% |
| Remote Labor Index | 5% | — |
| GDP.pdf | 23.8% | — |
Reasoning Gemini 3.7 Flash leads
Gemini 3.7 Flash: 70.0 (#15), MiMo-V2.6-Pro: 43.1 (#50)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.6-Pro |
|---|---|---|
| CritPt | 14.3% | 26.6% |
| LMArena Hard Prompts | 1494 | 1512 |
| ARC-AGI-2 | 84.6% | — |
| NYT Connections (extended) | 94% | — |
| ARC-AGI-1 | 95.5% | — |
| Chess Puzzles | 47% | — |
| Mystery Game Puzzles | 37% | — |
| DTBench | 96.8% | — |
| LMCA | 50.4% | — |
| Epoch Capabilities Index | 157.27 | — |
Math Gemini 3.7 Flash leads
Gemini 3.7 Flash: 69.6 (#23), MiMo-V2.6-Pro: 54.5 (#45)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.6-Pro |
|---|---|---|
| ProofBench | 58% | 70% |
| LMArena Math | 1507 | 1494 |
| FrontierMath (Tiers 1-3) | 71.6% | — |
| FrontierMath Tier 4 | 36.6% | — |
| OTIS Mock AIME 2024-2025 | 97.2% | — |
Knowledge Gemini 3.7 Flash leads
Gemini 3.7 Flash: 69.7 (#5), MiMo-V2.6-Pro: 43.5 (#92)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Expert | 1508 | 1543 |
| GPQA Diamond | 94.8% | — |
| SimpleQA Verified | 69.2% | — |
Multimodal MiMo-V2.6-Pro leads
Gemini 3.7 Flash: 37.3 (#73), MiMo-V2.6-Pro: 40.8 (#43)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Vision | 1316 | 1264 |
| Furniture Assembly | 26.7% | — |
Multilingual Too close to call
Gemini 3.7 Flash: 57.6 (#7), MiMo-V2.6-Pro: 56.9 (#14)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Non-English | 1484 | 1474 |
| LMArena Chinese | 1548 | 1529 |
| LMArena Russian | 1516 | 1480 |
| LMArena French | 1505 | — |
| LMArena German | 1498 | — |
| LMArena Japanese | 1512 | — |
| LMArena Korean | 1483 | — |
| LMArena Spanish | 1503 | — |
Instruction Following Too close to call
Gemini 3.7 Flash: 77.7 (#15), MiMo-V2.6-Pro: 78.2 (#12)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Instruction Following | 1483 | 1493 |
Long Context Too close to call
Gemini 3.7 Flash: 45.7 (#30), MiMo-V2.6-Pro: 46.0 (#27)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Longer Query | 1492 | 1501 |
Writing & Preference Gemini 3.7 Flash leads
Gemini 3.7 Flash: 71.2 (#20), MiMo-V2.6-Pro: 66.8 (#33)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Text | 1486 | 1492 |
| LMArena Creative Writing | 1490 | 1468 |
| LMArena Multi-Turn | 1489 | 1464 |
| EQ-Bench Creative Writing | 1723 | — |
Frequently asked questions
Is Gemini 3.7 Flash better than MiMo-V2.6-Pro?
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 50.3 on the Noometry Index. MiMo-V2.6-Pro costs 2.8× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.
Which is cheaper, Gemini 3.7 Flash or MiMo-V2.6-Pro?
MiMo-V2.6-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; Gemini 3.7 Flash lists at $0.75 and $3.75.
Is Gemini 3.7 Flash or MiMo-V2.6-Pro better for coding?
They score almost the same on coding (56.2 vs 55.5); test both on your own repository before choosing.
Which has the bigger context window?
Both accept 1.05M tokens.
How many benchmarks do Gemini 3.7 Flash and MiMo-V2.6-Pro share?
19 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and MiMo-V2.6-Pro has 19.