Model comparison
Gemma 3 12B vs MiMo-V2.5
MiMo-V2.5 is the stronger model overall, scoring 43.4 to 32.1 on the Noometry Index. Gemma 3 12B costs 2.3× less per token, which makes it the better buy when MiMo-V2.5's lead doesn't matter for your workload.
Last verified . 14 shared benchmarks.
Summary
- They share 14 benchmarks with published results for both. Gemma 3 12B scores higher in 0 categories and MiMo-V2.5 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where MiMo-V2.5 leads 36.8 to 22.3.
- The biggest single-benchmark swing is SciCode: 17.4% for Gemma 3 12B and 43.1% for MiMo-V2.5.
- Gemma 3 12B is cheaper at $0.05 / $0.15 per million input/output tokens, against $0.14 / $0.28 for MiMo-V2.5.
- MiMo-V2.5 accepts more context: 1.05M tokens versus 131K.
Side by side
| Gemma 3 12B | MiMo-V2.5 | |
|---|---|---|
| Provider | Xiaomi | |
| Noometry Index | 32.1 | 43.4 |
| Released | 2025-03-12 | 2026-04-22 |
| Weights | Open | Open |
| Context window | 131K | 1.05M |
| Max output | 8K | 131K |
| Input $ / M tokens | $0.05 | $0.14 |
| Output $ / M tokens | $0.15 | $0.28 |
| Results tracked | 24 | 23 |
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Category by category
Coding MiMo-V2.5 leads
Gemma 3 12B: 31.7 (#280), MiMo-V2.5: 43.9 (#81)
| Benchmark | Gemma 3 12B | MiMo-V2.5 |
|---|---|---|
| SciCode | 17.4% | 43.1% |
| LMArena Coding | 1281 | 1469 |
| LMArena WebDev | — | 1438 |
| ALE-Bench | — | 513.95 |
Agentic & Tool Use Not comparable
Gemma 3 12B: 25.5 (#108), MiMo-V2.5: —
| Benchmark | Gemma 3 12B | MiMo-V2.5 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 30.4% | — |
Reasoning MiMo-V2.5 leads
Gemma 3 12B: 15.7 (#313), MiMo-V2.5: 28.6 (#101)
| Benchmark | Gemma 3 12B | MiMo-V2.5 |
|---|---|---|
| CritPt | 0% | 3.7% |
| LMArena Hard Prompts | 1309 | 1450 |
| Chess Puzzles | 0% | — |
| DTBench | 48.8% | — |
| LMCA | 4.5% | — |
| Epoch Capabilities Index | 123.5 | — |
Math MiMo-V2.5 leads
Gemma 3 12B: 22.3 (#279), MiMo-V2.5: 36.8 (#163)
| Benchmark | Gemma 3 12B | MiMo-V2.5 |
|---|---|---|
| LMArena Math | 1307 | 1436 |
| OTIS Mock AIME 2024-2025 | 16.7% | — |
| ProofBench | — | 16% |
Knowledge MiMo-V2.5 leads
Gemma 3 12B: 26.5 (#257), MiMo-V2.5: 40.8 (#115)
| Benchmark | Gemma 3 12B | MiMo-V2.5 |
|---|---|---|
| LMArena Expert | 1248 | 1460 |
| GPQA Diamond | 39.5% | — |
| Vectara Hallucination Rate | 4.4% | — |
Multimodal Not comparable
Gemma 3 12B: —, MiMo-V2.5: 39.8 (#54)
| Benchmark | Gemma 3 12B | MiMo-V2.5 |
|---|---|---|
| LMArena Vision | — | 1247 |
| MindCube | 46.7% | — |
Multilingual MiMo-V2.5 leads
Gemma 3 12B: 45.7 (#165), MiMo-V2.5: 51.9 (#99)
| Benchmark | Gemma 3 12B | MiMo-V2.5 |
|---|---|---|
| LMArena Non-English | 1318 | 1404 |
| LMArena German | 1370 | 1421 |
| LMArena Russian | 1335 | 1395 |
| LMArena Chinese | — | 1468 |
| LMArena French | — | 1447 |
| LMArena Japanese | — | 1306 |
| LMArena Korean | — | 1363 |
| LMArena Spanish | — | 1416 |
Instruction Following MiMo-V2.5 leads
Gemma 3 12B: 68.6 (#186), MiMo-V2.5: 75.5 (#60)
| Benchmark | Gemma 3 12B | MiMo-V2.5 |
|---|---|---|
| LMArena Instruction Following | 1299 | 1434 |
Long Context MiMo-V2.5 leads
Gemma 3 12B: 40.0 (#162), MiMo-V2.5: 44.2 (#73)
| Benchmark | Gemma 3 12B | MiMo-V2.5 |
|---|---|---|
| LMArena Longer Query | 1317 | 1445 |
Writing & Preference MiMo-V2.5 leads
Gemma 3 12B: 47.5 (#209), MiMo-V2.5: 61.6 (#86)
| Benchmark | Gemma 3 12B | MiMo-V2.5 |
|---|---|---|
| LMArena Text | 1334 | 1428 |
| LMArena Creative Writing | 1331 | 1393 |
| LMArena Multi-Turn | 1334 | 1445 |
| EQ-Bench Creative Writing | 1126 | — |
Frequently asked questions
Is Gemma 3 12B better than MiMo-V2.5?
MiMo-V2.5 is the stronger model overall, scoring 43.4 to 32.1 on the Noometry Index. Gemma 3 12B costs 2.3× less per token, which makes it the better buy when MiMo-V2.5's lead doesn't matter for your workload.
Which is cheaper, Gemma 3 12B or MiMo-V2.5?
Gemma 3 12B is cheaper. It lists at $0.05 per million input tokens and $0.15 per million output tokens; MiMo-V2.5 lists at $0.14 and $0.28.
Is Gemma 3 12B or MiMo-V2.5 better for coding?
MiMo-V2.5 scores higher on coding benchmarks: 43.9 versus 31.7 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.5 does, with 1.05M tokens against 131K.
How many benchmarks do Gemma 3 12B and MiMo-V2.5 share?
14 benchmarks have published results for both models. Gemma 3 12B has 24 scored results on Noometry and MiMo-V2.5 has 23.