Model comparison
Gemini 3.7 Flash vs MiMo-V2.6-Flash
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 48.5 on the Noometry Index. MiMo-V2.6-Flash costs 8.6× 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 8 categories and MiMo-V2.6-Flash in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.7 Flash leads 70.0 to 36.5.
- The biggest single-benchmark swing is SciCode: 59.8% for Gemini 3.7 Flash and 51.3% for MiMo-V2.6-Flash.
- MiMo-V2.6-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.75 / $3.75 for Gemini 3.7 Flash.
- MiMo-V2.6-Flash has downloadable open weights; the other is API-only.
Side by side
| Gemini 3.7 Flash | MiMo-V2.6-Flash | |
|---|---|---|
| Provider | Xiaomi | |
| Noometry Index | 59.8 | 48.5 |
| 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 | $0.14 |
| Output $ / M tokens | $3.75 | $0.28 |
| Results tracked | 44 | 19 |
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Category by category
Coding Gemini 3.7 Flash leads
Gemini 3.7 Flash: 56.2 (#22), MiMo-V2.6-Flash: 53.4 (#30)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.6-Flash |
|---|---|---|
| LMArena WebDev | 1592 | 1637 |
| SciCode | 59.8% | 51.3% |
| LMArena Coding | 1497 | 1504 |
| DeepSWE | 65.5% | — |
| FrontierCode | 43.6% | — |
| FrontierSWE | 20.3% | — |
| ALE-Bench | 904.3 | — |
Agentic & Tool Use Not comparable
Gemini 3.7 Flash: 42.1 (#19), MiMo-V2.6-Flash: —
| Benchmark | Gemini 3.7 Flash | MiMo-V2.6-Flash |
|---|---|---|
| APEX-Agents | 67.8% | — |
| Remote Labor Index | 5% | — |
| GDP.pdf | 23.8% | — |
Reasoning Gemini 3.7 Flash leads
Gemini 3.7 Flash: 70.0 (#15), MiMo-V2.6-Flash: 36.5 (#66)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.6-Flash |
|---|---|---|
| CritPt | 14.3% | 12% |
| LMArena Hard Prompts | 1494 | 1482 |
| 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-Flash: 51.9 (#52)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.6-Flash |
|---|---|---|
| ProofBench | 58% | 63% |
| LMArena Math | 1507 | 1468 |
| 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-Flash: 42.2 (#99)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Expert | 1508 | 1501 |
| GPQA Diamond | 94.8% | — |
| SimpleQA Verified | 69.2% | — |
Multimodal MiMo-V2.6-Flash leads
Gemini 3.7 Flash: 37.3 (#73), MiMo-V2.6-Flash: 40.5 (#47)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Vision | 1316 | 1259 |
| Furniture Assembly | 26.7% | — |
Multilingual Gemini 3.7 Flash leads
Gemini 3.7 Flash: 57.6 (#7), MiMo-V2.6-Flash: 54.0 (#51)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Non-English | 1484 | 1434 |
| LMArena Chinese | 1548 | 1511 |
| LMArena French | 1505 | 1475 |
| LMArena Russian | 1516 | 1409 |
| LMArena Spanish | 1503 | 1456 |
| LMArena German | 1498 | — |
| LMArena Japanese | 1512 | — |
| LMArena Korean | 1483 | — |
Instruction Following Too close to call
Gemini 3.7 Flash: 77.7 (#15), MiMo-V2.6-Flash: 76.8 (#35)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Instruction Following | 1483 | 1463 |
Long Context Too close to call
Gemini 3.7 Flash: 45.7 (#30), MiMo-V2.6-Flash: 44.8 (#57)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Longer Query | 1492 | 1463 |
Writing & Preference Gemini 3.7 Flash leads
Gemini 3.7 Flash: 71.2 (#20), MiMo-V2.6-Flash: 63.1 (#67)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Text | 1486 | 1455 |
| LMArena Creative Writing | 1490 | 1400 |
| LMArena Multi-Turn | 1489 | 1451 |
| EQ-Bench Creative Writing | 1723 | — |
Frequently asked questions
Is Gemini 3.7 Flash better than MiMo-V2.6-Flash?
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 48.5 on the Noometry Index. MiMo-V2.6-Flash costs 8.6× 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-Flash?
MiMo-V2.6-Flash is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Gemini 3.7 Flash lists at $0.75 and $3.75.
Is Gemini 3.7 Flash or MiMo-V2.6-Flash better for coding?
Gemini 3.7 Flash scores higher on coding benchmarks: 56.2 versus 53.4 in the Noometry coding category.
Which has the bigger context window?
Both accept 1.05M tokens.
How many benchmarks do Gemini 3.7 Flash and MiMo-V2.6-Flash share?
19 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and MiMo-V2.6-Flash has 19.