Model comparison
Gemini 3.7 Flash vs MiMo-V2.5
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 43.4 on the Noometry Index. MiMo-V2.5 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 . 23 shared benchmarks.
GoogleSummary
- They share 23 benchmarks with published results for both. Gemini 3.7 Flash scores higher in 8 categories and MiMo-V2.5 in 1 category; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.7 Flash leads 70.0 to 28.6.
- The biggest single-benchmark swing is ProofBench: 58% for Gemini 3.7 Flash and 16% for MiMo-V2.5.
- MiMo-V2.5 is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.75 / $3.75 for Gemini 3.7 Flash.
- MiMo-V2.5 has downloadable open weights; the other is API-only.
Side by side
| Gemini 3.7 Flash | MiMo-V2.5 | |
|---|---|---|
| Provider | Xiaomi | |
| Noometry Index | 59.8 | 43.4 |
| Released | 2026-08-13 | 2026-04-22 |
| 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 | 23 |
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Category by category
Coding Gemini 3.7 Flash leads
Gemini 3.7 Flash: 56.2 (#22), MiMo-V2.5: 43.9 (#81)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.5 |
|---|---|---|
| LMArena WebDev | 1592 | 1438 |
| SciCode | 59.8% | 43.1% |
| LMArena Coding | 1497 | 1469 |
| ALE-Bench | 904.3 | 513.95 |
| DeepSWE | 65.5% | — |
| FrontierCode | 43.6% | — |
| FrontierSWE | 20.3% | — |
Agentic & Tool Use Not comparable
Gemini 3.7 Flash: 42.1 (#19), MiMo-V2.5: —
| Benchmark | Gemini 3.7 Flash | MiMo-V2.5 |
|---|---|---|
| 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-V2.5: 28.6 (#101)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.5 |
|---|---|---|
| CritPt | 14.3% | 3.7% |
| LMArena Hard Prompts | 1494 | 1450 |
| 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-V2.5: 36.8 (#163)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.5 |
|---|---|---|
| ProofBench | 58% | 16% |
| LMArena Math | 1507 | 1436 |
| 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-V2.5: 40.8 (#115)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.5 |
|---|---|---|
| LMArena Expert | 1508 | 1460 |
| GPQA Diamond | 94.8% | — |
| SimpleQA Verified | 69.2% | — |
Multimodal MiMo-V2.5 leads
Gemini 3.7 Flash: 37.3 (#73), MiMo-V2.5: 39.8 (#54)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.5 |
|---|---|---|
| LMArena Vision | 1316 | 1247 |
| Furniture Assembly | 26.7% | — |
Multilingual Gemini 3.7 Flash leads
Gemini 3.7 Flash: 57.6 (#7), MiMo-V2.5: 51.9 (#99)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.5 |
|---|---|---|
| LMArena Non-English | 1484 | 1404 |
| LMArena Chinese | 1548 | 1468 |
| LMArena French | 1505 | 1447 |
| LMArena German | 1498 | 1421 |
| LMArena Japanese | 1512 | 1306 |
| LMArena Korean | 1483 | 1363 |
| LMArena Russian | 1516 | 1395 |
| LMArena Spanish | 1503 | 1416 |
Instruction Following Gemini 3.7 Flash leads
Gemini 3.7 Flash: 77.7 (#15), MiMo-V2.5: 75.5 (#60)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.5 |
|---|---|---|
| LMArena Instruction Following | 1483 | 1434 |
Long Context Gemini 3.7 Flash leads
Gemini 3.7 Flash: 45.7 (#30), MiMo-V2.5: 44.2 (#73)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.5 |
|---|---|---|
| LMArena Longer Query | 1492 | 1445 |
Writing & Preference Gemini 3.7 Flash leads
Gemini 3.7 Flash: 71.2 (#20), MiMo-V2.5: 61.6 (#86)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.5 |
|---|---|---|
| LMArena Text | 1486 | 1428 |
| LMArena Creative Writing | 1490 | 1393 |
| LMArena Multi-Turn | 1489 | 1445 |
| EQ-Bench Creative Writing | 1723 | — |
Frequently asked questions
Is Gemini 3.7 Flash better than MiMo-V2.5?
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 43.4 on the Noometry Index. MiMo-V2.5 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-V2.5?
MiMo-V2.5 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-V2.5 better for coding?
Gemini 3.7 Flash scores higher on coding benchmarks: 56.2 versus 43.9 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-V2.5 share?
23 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and MiMo-V2.5 has 23.