Model comparison
Gemma 3 4B vs MiMo-V2-Omni
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 28.1 on the Noometry Index. Gemma 3 4B costs 3.5× less per token, which makes it the better buy when MiMo-V2-Omni's lead doesn't matter for your workload.
Last verified . 12 shared benchmarks.
Summary
- They share 12 benchmarks with published results for both. Gemma 3 4B scores higher in 0 categories and MiMo-V2-Omni in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where MiMo-V2-Omni leads 40.5 to 11.8.
- Gemma 3 4B is cheaper at $0.04 / $0.08 per million input/output tokens, against $0.14 / $0.28 for MiMo-V2-Omni.
- MiMo-V2-Omni accepts more context: 262K tokens versus 131K.
- Gemma 3 4B has downloadable open weights; the other is API-only.
Side by side
| Gemma 3 4B | MiMo-V2-Omni | |
|---|---|---|
| Provider | Xiaomi | |
| Noometry Index | 28.1 | 43.6 |
| Released | 2025-03-12 | 2026-03-18 |
| Weights | Open | Proprietary |
| Context window | 131K | 262K |
| Max output | 4K | 131K |
| Input $ / M tokens | $0.04 | $0.14 |
| Output $ / M tokens | $0.08 | $0.28 |
| Results tracked | 22 | 18 |
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Category by category
Coding MiMo-V2-Omni leads
Gemma 3 4B: 35.9 (#215), MiMo-V2-Omni: 43.3 (#89)
| Benchmark | Gemma 3 4B | MiMo-V2-Omni |
|---|---|---|
| LMArena Coding | 1230 | 1466 |
Agentic & Tool Use Not comparable
Gemma 3 4B: 20.9 (#142), MiMo-V2-Omni: —
| Benchmark | Gemma 3 4B | MiMo-V2-Omni |
|---|---|---|
| Berkeley Function Calling Leaderboard | 19.6% | — |
Reasoning MiMo-V2-Omni leads
Gemma 3 4B: 13.2 (#335), MiMo-V2-Omni: 29.7 (#88)
| Benchmark | Gemma 3 4B | MiMo-V2-Omni |
|---|---|---|
| LMArena Hard Prompts | 1253 | 1445 |
| Kagi LLM Benchmark | 25.2% | — |
| Chess Puzzles | 0% | — |
| DTBench | 50.9% | — |
| LMCA | 2.8% | — |
| Epoch Capabilities Index | 116.02 | — |
Math MiMo-V2-Omni leads
Gemma 3 4B: 16.8 (#292), MiMo-V2-Omni: 39.1 (#115)
| Benchmark | Gemma 3 4B | MiMo-V2-Omni |
|---|---|---|
| LMArena Math | 1239 | 1430 |
| OTIS Mock AIME 2024-2025 | 7.5% | — |
Knowledge MiMo-V2-Omni leads
Gemma 3 4B: 11.8 (#299), MiMo-V2-Omni: 40.5 (#118)
| Benchmark | Gemma 3 4B | MiMo-V2-Omni |
|---|---|---|
| LMArena Expert | 1223 | 1449 |
| GPQA Diamond | 23.2% | — |
| Vectara Hallucination Rate | 6.4% | — |
Multimodal Not comparable
Gemma 3 4B: —, MiMo-V2-Omni: 38.6 (#63)
| Benchmark | Gemma 3 4B | MiMo-V2-Omni |
|---|---|---|
| LMArena Vision | — | 1228 |
Multilingual MiMo-V2-Omni leads
Gemma 3 4B: 42.5 (#194), MiMo-V2-Omni: 51.8 (#102)
| Benchmark | Gemma 3 4B | MiMo-V2-Omni |
|---|---|---|
| LMArena Non-English | 1273 | 1404 |
| LMArena German | 1281 | 1399 |
| LMArena Russian | 1294 | 1412 |
| LMArena Chinese | — | 1465 |
| LMArena French | — | 1447 |
| LMArena Japanese | — | 1317 |
| LMArena Korean | — | 1355 |
| LMArena Spanish | — | 1434 |
Instruction Following MiMo-V2-Omni leads
Gemma 3 4B: 65.2 (#225), MiMo-V2-Omni: 75.2 (#66)
| Benchmark | Gemma 3 4B | MiMo-V2-Omni |
|---|---|---|
| LMArena Instruction Following | 1239 | 1428 |
Long Context MiMo-V2-Omni leads
Gemma 3 4B: 38.7 (#194), MiMo-V2-Omni: 44.1 (#76)
| Benchmark | Gemma 3 4B | MiMo-V2-Omni |
|---|---|---|
| LMArena Longer Query | 1273 | 1442 |
Writing & Preference MiMo-V2-Omni leads
Gemma 3 4B: 42.0 (#239), MiMo-V2-Omni: 61.4 (#87)
| Benchmark | Gemma 3 4B | MiMo-V2-Omni |
|---|---|---|
| LMArena Text | 1291 | 1423 |
| LMArena Creative Writing | 1271 | 1392 |
| LMArena Multi-Turn | 1255 | 1445 |
| EQ-Bench Creative Writing | 1068 | — |
Frequently asked questions
Is Gemma 3 4B better than MiMo-V2-Omni?
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 28.1 on the Noometry Index. Gemma 3 4B costs 3.5× less per token, which makes it the better buy when MiMo-V2-Omni's lead doesn't matter for your workload.
Which is cheaper, Gemma 3 4B or MiMo-V2-Omni?
Gemma 3 4B is cheaper. It lists at $0.04 per million input tokens and $0.08 per million output tokens; MiMo-V2-Omni lists at $0.14 and $0.28.
Is Gemma 3 4B or MiMo-V2-Omni better for coding?
MiMo-V2-Omni scores higher on coding benchmarks: 43.3 versus 35.9 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2-Omni does, with 262K tokens against 131K.
How many benchmarks do Gemma 3 4B and MiMo-V2-Omni share?
12 benchmarks have published results for both models. Gemma 3 4B has 22 scored results on Noometry and MiMo-V2-Omni has 18.