Model comparison
Gemma 3 27B vs MiMo-V2-Omni
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 30.8 on the Noometry Index. Gemma 3 27B costs 1.8× less per token, which makes it the better buy when MiMo-V2-Omni's lead doesn't matter for your workload.
Last verified . 18 shared benchmarks.
GoogleSummary
- They share 18 benchmarks with published results for both. Gemma 3 27B scores higher in 0 categories and MiMo-V2-Omni in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in coding, where MiMo-V2-Omni leads 43.3 to 22.5.
- Gemma 3 27B is cheaper at $0.08 / $0.16 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 27B has downloadable open weights; the other is API-only.
Side by side
| Gemma 3 27B | MiMo-V2-Omni | |
|---|---|---|
| Provider | Xiaomi | |
| Noometry Index | 30.8 | 43.6 |
| Released | 2025-03-11 | 2026-03-18 |
| Weights | Open | Proprietary |
| Context window | 131K | 262K |
| Max output | 8K | 131K |
| Input $ / M tokens | $0.08 | $0.14 |
| Output $ / M tokens | $0.16 | $0.28 |
| Results tracked | 43 | 18 |
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Category by category
Coding MiMo-V2-Omni leads
Gemma 3 27B: 22.5 (#334), MiMo-V2-Omni: 43.3 (#89)
| Benchmark | Gemma 3 27B | MiMo-V2-Omni |
|---|---|---|
| LMArena Coding | 1322 | 1466 |
| Aider Polyglot | 4.9% | — |
| SciCode | 21.2% | — |
| LiveBench Coding | 39.9% | — |
Agentic & Tool Use Not comparable
Gemma 3 27B: 25.1 (#110), MiMo-V2-Omni: —
| Benchmark | Gemma 3 27B | MiMo-V2-Omni |
|---|---|---|
| Berkeley Function Calling Leaderboard | 29.5% | — |
Reasoning MiMo-V2-Omni leads
Gemma 3 27B: 16.7 (#301), MiMo-V2-Omni: 29.7 (#88)
| Benchmark | Gemma 3 27B | MiMo-V2-Omni |
|---|---|---|
| LMArena Hard Prompts | 1340 | 1445 |
| Kagi LLM Benchmark | 40.4% | — |
| CritPt | 0% | — |
| Chess Puzzles | 0% | — |
| LiveBench Reasoning | 43.8% | — |
| DTBench | 52.5% | — |
| LiveBench Data Analysis | 51.5% | — |
| LMCA | 12.3% | — |
| Epoch Capabilities Index | 130.04 | — |
| LiveBench | 50% | — |
Math MiMo-V2-Omni leads
Gemma 3 27B: 25.9 (#265), MiMo-V2-Omni: 39.1 (#115)
| Benchmark | Gemma 3 27B | MiMo-V2-Omni |
|---|---|---|
| LMArena Math | 1312 | 1430 |
| OTIS Mock AIME 2024-2025 | 22.5% | — |
| LiveBench Math | 55.4% | — |
| MATH Level 5 | 74% | — |
Knowledge MiMo-V2-Omni leads
Gemma 3 27B: 25.5 (#261), MiMo-V2-Omni: 40.5 (#118)
| Benchmark | Gemma 3 27B | MiMo-V2-Omni |
|---|---|---|
| LMArena Expert | 1304 | 1449 |
| GPQA Diamond | 47.7% | — |
| Confabulations | 40.3% | — |
| Vectara Hallucination Rate | 7.4% | — |
Multimodal MiMo-V2-Omni leads
Gemma 3 27B: 32.6 (#100), MiMo-V2-Omni: 38.6 (#63)
| Benchmark | Gemma 3 27B | MiMo-V2-Omni |
|---|---|---|
| LMArena Vision | 1164 | 1228 |
| GeoBench | 52% | — |
Multilingual MiMo-V2-Omni leads
Gemma 3 27B: 46.9 (#155), MiMo-V2-Omni: 51.8 (#102)
| Benchmark | Gemma 3 27B | MiMo-V2-Omni |
|---|---|---|
| LMArena Non-English | 1334 | 1404 |
| LMArena Chinese | 1346 | 1465 |
| LMArena French | 1368 | 1447 |
| LMArena German | 1362 | 1399 |
| LMArena Japanese | 1287 | 1317 |
| LMArena Korean | 1308 | 1355 |
| LMArena Russian | 1349 | 1412 |
| LMArena Spanish | 1349 | 1434 |
Instruction Following MiMo-V2-Omni leads
Gemma 3 27B: 70.6 (#160), MiMo-V2-Omni: 75.2 (#66)
| Benchmark | Gemma 3 27B | MiMo-V2-Omni |
|---|---|---|
| LMArena Instruction Following | 1321 | 1428 |
| LiveBench Instruction Following | 74.9% | — |
Long Context MiMo-V2-Omni leads
Gemma 3 27B: 27.6 (#293), MiMo-V2-Omni: 44.1 (#76)
| Benchmark | Gemma 3 27B | MiMo-V2-Omni |
|---|---|---|
| LMArena Longer Query | 1333 | 1442 |
| Fiction.LiveBench | 33.3% | — |
Writing & Preference MiMo-V2-Omni leads
Gemma 3 27B: 52.5 (#168), MiMo-V2-Omni: 61.4 (#87)
| Benchmark | Gemma 3 27B | MiMo-V2-Omni |
|---|---|---|
| LMArena Text | 1358 | 1423 |
| LMArena Creative Writing | 1346 | 1392 |
| LMArena Multi-Turn | 1345 | 1445 |
| Short-Story Creative Writing | 79.9% | — |
| EQ-Bench Creative Writing | 1266 | — |
| LiveBench Language | 34.6% | — |
Frequently asked questions
Is Gemma 3 27B better than MiMo-V2-Omni?
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 30.8 on the Noometry Index. Gemma 3 27B costs 1.8× 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 27B or MiMo-V2-Omni?
Gemma 3 27B is cheaper. It lists at $0.08 per million input tokens and $0.16 per million output tokens; MiMo-V2-Omni lists at $0.14 and $0.28.
Is Gemma 3 27B or MiMo-V2-Omni better for coding?
MiMo-V2-Omni scores higher on coding benchmarks: 43.3 versus 22.5 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 27B and MiMo-V2-Omni share?
18 benchmarks have published results for both models. Gemma 3 27B has 43 scored results on Noometry and MiMo-V2-Omni has 18.