Model comparison
Gemini 3.7 Flash vs MiMo-V2.5-Pro
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 44.8 on the Noometry Index. MiMo-V2.5-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 . 26 shared benchmarks.
GoogleSummary
- They share 26 benchmarks with published results for both. Gemini 3.7 Flash scores higher in 8 categories and MiMo-V2.5-Pro in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.7 Flash leads 70.1 to 25.9.
- The biggest single-benchmark swing is NYT Connections (extended): 94% for Gemini 3.7 Flash and 34.4% for MiMo-V2.5-Pro.
- MiMo-V2.5-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $0.75 / $3.75 for Gemini 3.7 Flash.
- MiMo-V2.5-Pro has downloadable open weights; the other is API-only.
Side by side
| Gemini 3.7 Flash | MiMo-V2.5-Pro | |
|---|---|---|
| Provider | Xiaomi | |
| Noometry Index | 59.8 | 44.8 |
| 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 | $0.43 |
| Output $ / M tokens | $3.75 | $0.87 |
| Results tracked | 44 | 27 |
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Category by category
Coding Gemini 3.7 Flash leads
Gemini 3.7 Flash: 55.7 (#19), MiMo-V2.5-Pro: 47.0 (#58)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.5-Pro |
|---|---|---|
| LMArena WebDev | 1593 | 1477 |
| SciCode | 59.8% | 50.2% |
| LMArena Coding | 1499 | 1502 |
| ALE-Bench | 904.3 | 899.8 |
| DeepSWE | 65.5% | — |
| FrontierCode | 43.6% | — |
| FrontierSWE | 20.3% | — |
Agentic & Tool Use Not comparable
Gemini 3.7 Flash: 42.2 (#18), MiMo-V2.5-Pro: —
| Benchmark | Gemini 3.7 Flash | MiMo-V2.5-Pro |
|---|---|---|
| APEX-Agents | 67.8% | — |
| Remote Labor Index | 5% | — |
| GDP.pdf | 23.8% | — |
Reasoning Gemini 3.7 Flash leads
Gemini 3.7 Flash: 70.1 (#12), MiMo-V2.5-Pro: 25.9 (#124)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.5-Pro |
|---|---|---|
| NYT Connections (extended) | 94% | 34.4% |
| CritPt | 14.3% | 4% |
| LMArena Hard Prompts | 1497 | 1487 |
| DTBench | 96.8% | 84.5% |
| LMCA | 50.4% | 29.5% |
| ARC-AGI-2 | 84.6% | — |
| ARC-AGI-1 | 95.5% | — |
| Chess Puzzles | 47% | — |
| Mystery Game Puzzles | 37% | — |
| Epoch Capabilities Index | 157.72 | — |
Math Gemini 3.7 Flash leads
Gemini 3.7 Flash: 69.5 (#18), MiMo-V2.5-Pro: 38.6 (#84)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.5-Pro |
|---|---|---|
| ProofBench | 58% | 22% |
| LMArena Math | 1511 | 1480 |
| 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: 69.8 (#4), MiMo-V2.5-Pro: 41.5 (#100)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Expert | 1508 | 1501 |
| GPQA Diamond | 94.8% | — |
| SimpleQA Verified | 69.2% | — |
Multimodal Not comparable
Gemini 3.7 Flash: 36.9 (#69), MiMo-V2.5-Pro: —
| Benchmark | Gemini 3.7 Flash | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Vision | 1314 | — |
| Furniture Assembly | 26.7% | — |
Multilingual Gemini 3.7 Flash leads
Gemini 3.7 Flash: 57.8 (#7), MiMo-V2.5-Pro: 55.3 (#33)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Non-English | 1485 | 1449 |
| LMArena Chinese | 1553 | 1507 |
| LMArena French | 1512 | 1489 |
| LMArena German | 1485 | 1455 |
| LMArena Japanese | 1506 | 1418 |
| LMArena Korean | 1486 | 1436 |
| LMArena Russian | 1519 | 1450 |
| LMArena Spanish | 1507 | 1470 |
Instruction Following Too close to call
Gemini 3.7 Flash: 78.0 (#12), MiMo-V2.5-Pro: 77.6 (#21)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Instruction Following | 1486 | 1477 |
Long Context Too close to call
Gemini 3.7 Flash: 45.8 (#28), MiMo-V2.5-Pro: 45.4 (#38)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Longer Query | 1493 | 1482 |
Writing & Preference Gemini 3.7 Flash leads
Gemini 3.7 Flash: 71.4 (#19), MiMo-V2.5-Pro: 65.5 (#47)
| Benchmark | Gemini 3.7 Flash | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Text | 1487 | 1465 |
| LMArena Creative Writing | 1490 | 1440 |
| EQ-Bench Creative Writing | 1723 | 1493 |
| LMArena Multi-Turn | 1495 | 1477 |
| EQ-Bench 4 | — | 1208 |
Frequently asked questions
Is Gemini 3.7 Flash better than MiMo-V2.5-Pro?
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 44.8 on the Noometry Index. MiMo-V2.5-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-V2.5-Pro?
MiMo-V2.5-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-V2.5-Pro better for coding?
Gemini 3.7 Flash scores higher on coding benchmarks: 55.7 versus 47.0 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-Pro share?
26 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and MiMo-V2.5-Pro has 27.