Model comparison
Gemini 3.1 Pro Preview vs MiMo-V2-Omni
Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 43.6 on the Noometry Index. MiMo-V2-Omni costs 26× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.
Last verified . 18 shared benchmarks.
GoogleSummary
- They share 18 benchmarks with published results for both. Gemini 3.1 Pro Preview scores higher in 7 categories and MiMo-V2-Omni in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.1 Pro Preview leads 71.7 to 29.7.
- MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $2 / $12 for Gemini 3.1 Pro Preview.
- Gemini 3.1 Pro Preview accepts more context: 1.05M tokens versus 262K.
Side by side
| Gemini 3.1 Pro Preview | MiMo-V2-Omni | |
|---|---|---|
| Provider | Xiaomi | |
| Noometry Index | 56.7 | 43.6 |
| Released | 2026-02-19 | 2026-03-18 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 262K |
| Max output | 66K | 131K |
| Input $ / M tokens | $2 | $0.14 |
| Output $ / M tokens | $12 | $0.28 |
| Results tracked | 71 | 18 |
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Category by category
Coding Too close to call
Gemini 3.1 Pro Preview: 42.5 (#99), MiMo-V2-Omni: 43.3 (#89)
| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2-Omni |
|---|---|---|
| LMArena Coding | 1484 | 1466 |
| SWE-bench Verified | 75.6% | — |
| DeepSWE | 11.7% | — |
| LMArena WebDev | 1447 | — |
| SciCode | 58.9% | — |
| GSO | 22.6% | — |
| WeirdML | 72.1% | — |
| MirrorCode | 8.9% | — |
| ALE-Bench | 1,161 | — |
| AlgoTune | 2.02 | — |
Agentic & Tool Use Not comparable
Gemini 3.1 Pro Preview: 37.7 (#34), MiMo-V2-Omni: —
| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2-Omni |
|---|---|---|
| Terminal-Bench | 80.2% | — |
| APEX-Agents | 35.3% | — |
| τ²-bench Banking | 26% | — |
| DeepResearch Bench | 47.8% | — |
| PostTrainBench | 22% | — |
| BALROG | 57% | — |
| ExploitBench | 26.1% | — |
| GBAEval | 0.8% | — |
| GDP.pdf | 17% | — |
| LMArena Search | 1211 | — |
| METR Time Horizons | 77% | — |
| Vending-Bench 2 | 3,774 | — |
Reasoning Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 71.7 (#12), MiMo-V2-Omni: 29.7 (#88)
| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2-Omni |
|---|---|---|
| LMArena Hard Prompts | 1485 | 1445 |
| ARC-AGI-2 | 77.1% | — |
| SimpleBench | 79.6% | — |
| NYT Connections (extended) | 97.4% | — |
| ARC-AGI-1 | 98% | — |
| CritPt | 17.7% | — |
| Chess Puzzles | 55% | — |
| EnigmaEval | 36.8% | — |
| Thematic Generalization | 79.4% | — |
| EBR-Bench | 14.3% | — |
| Mystery Game Puzzles | 34% | — |
| DTBench | 97.1% | — |
| LMCA | 53.8% | — |
| Epoch Capabilities Index | 154.77 | — |
| ForecastBench | 59 | — |
Math Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 62.1 (#34), MiMo-V2-Omni: 39.1 (#115)
| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2-Omni |
|---|---|---|
| LMArena Math | 1485 | 1430 |
| FrontierMath (Tiers 1-3) | 59.6% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 86.5% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| ProofBench | 26% | — |
| FrontierMath (Feb 2025 set) | 36.9% | — |
| FrontierMath Tier 4 (v1) | 16.7% | — |
Knowledge Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 71.8 (#3), MiMo-V2-Omni: 40.5 (#118)
| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2-Omni |
|---|---|---|
| LMArena Expert | 1485 | 1449 |
| GPQA Diamond | 94.4% | — |
| Humanity's Last Exam | 46.4% | — |
| SimpleQA Verified | 73.5% | — |
| Vectara Hallucination Rate | 10.4% | — |
Multimodal Too close to call
Gemini 3.1 Pro Preview: 37.9 (#69), MiMo-V2-Omni: 38.6 (#63)
| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2-Omni |
|---|---|---|
| LMArena Vision | 1296 | 1228 |
| Blueprint-Bench 2 | 26.5% | — |
| Furniture Assembly | 26.7% | — |
| LMArena Document | 1444 | — |
Multilingual Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 57.0 (#12), MiMo-V2-Omni: 51.8 (#102)
| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2-Omni |
|---|---|---|
| LMArena Non-English | 1477 | 1404 |
| LMArena Chinese | 1529 | 1465 |
| LMArena French | 1487 | 1447 |
| LMArena German | 1491 | 1399 |
| LMArena Japanese | 1493 | 1317 |
| LMArena Korean | 1455 | 1355 |
| LMArena Russian | 1498 | 1412 |
| LMArena Spanish | 1479 | 1434 |
Instruction Following Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 77.0 (#32), MiMo-V2-Omni: 75.2 (#66)
| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2-Omni |
|---|---|---|
| LMArena Instruction Following | 1466 | 1428 |
Long Context Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 47.4 (#18), MiMo-V2-Omni: 44.1 (#76)
| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2-Omni |
|---|---|---|
| LMArena Longer Query | 1483 | 1442 |
| CL-bench | 20.8% | — |
| CL-bench Life | 16.9% | — |
Writing & Preference Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 66.1 (#37), MiMo-V2-Omni: 61.4 (#87)
| Benchmark | Gemini 3.1 Pro Preview | MiMo-V2-Omni |
|---|---|---|
| LMArena Text | 1481 | 1423 |
| LMArena Creative Writing | 1482 | 1392 |
| LMArena Multi-Turn | 1488 | 1445 |
| EQ-Bench Creative Writing | 1491 | — |
| EQ-Bench 4 | 1142 | — |
Frequently asked questions
Is Gemini 3.1 Pro Preview better than MiMo-V2-Omni?
Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 43.6 on the Noometry Index. MiMo-V2-Omni costs 26× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.
Which is cheaper, Gemini 3.1 Pro Preview or MiMo-V2-Omni?
MiMo-V2-Omni is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Gemini 3.1 Pro Preview lists at $2 and $12.
Is Gemini 3.1 Pro Preview or MiMo-V2-Omni better for coding?
They score almost the same on coding (42.5 vs 43.3); test both on your own repository before choosing.
Which has the bigger context window?
Gemini 3.1 Pro Preview does, with 1.05M tokens against 262K.
How many benchmarks do Gemini 3.1 Pro Preview and MiMo-V2-Omni share?
18 benchmarks have published results for both models. Gemini 3.1 Pro Preview has 71 scored results on Noometry and MiMo-V2-Omni has 18.