Model comparison
Gemma 3 27B vs MiMo-V2.6-Pro
MiMo-V2.6-Pro is the stronger model overall, scoring 46.7 to 30.5 on the Noometry Index. Gemma 3 27B costs 5.4× less per token, which makes it the better buy when MiMo-V2.6-Pro's lead doesn't matter for your workload.
Last verified . 13 shared benchmarks.
GoogleSummary
- They share 13 benchmarks with published results for both. Gemma 3 27B scores higher in 0 categories and MiMo-V2.6-Pro in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in coding, where MiMo-V2.6-Pro leads 53.2 to 22.1.
- Gemma 3 27B is cheaper at $0.08 / $0.16 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2.6-Pro.
- MiMo-V2.6-Pro accepts more context: 1.05M tokens versus 131K.
Side by side
| Gemma 3 27B | MiMo-V2.6-Pro | |
|---|---|---|
| Provider | Xiaomi | |
| Noometry Index | 30.5 | 46.7 |
| Released | 2025-03-11 | 2026-09-22 |
| Weights | Open | Open |
| Context window | 131K | 1.05M |
| Max output | 8K | 131K |
| Input $ / M tokens | $0.08 | $0.43 |
| Output $ / M tokens | $0.16 | $0.87 |
| Results tracked | 43 | 14 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding MiMo-V2.6-Pro leads
Gemma 3 27B: 22.1 (#329), MiMo-V2.6-Pro: 53.2 (#27)
| Benchmark | Gemma 3 27B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Coding | 1322 | 1538 |
| Aider Polyglot | 4.9% | — |
| LMArena WebDev | — | 1618 |
| SciCode | 21.2% | — |
| LiveBench Coding | 39.9% | — |
Agentic & Tool Use Not comparable
Gemma 3 27B: 24.9 (#105), MiMo-V2.6-Pro: —
| Benchmark | Gemma 3 27B | MiMo-V2.6-Pro |
|---|---|---|
| Berkeley Function Calling Leaderboard | 29.5% | — |
Reasoning MiMo-V2.6-Pro leads
Gemma 3 27B: 16.3 (#297), MiMo-V2.6-Pro: 30.4 (#76)
| Benchmark | Gemma 3 27B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Hard Prompts | 1340 | 1511 |
| 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-V2.6-Pro leads
Gemma 3 27B: 24.4 (#261), MiMo-V2.6-Pro: 37.9 (#91)
| Benchmark | Gemma 3 27B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Math | 1312 | 1497 |
| OTIS Mock AIME 2024-2025 | 22.5% | — |
| LiveBench Math | 55.4% | — |
| MATH Level 5 | 74% | — |
Knowledge MiMo-V2.6-Pro leads
Gemma 3 27B: 25.4 (#256), MiMo-V2.6-Pro: 43.0 (#85)
| Benchmark | Gemma 3 27B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Expert | 1303 | 1548 |
| GPQA Diamond | 47.7% | — |
| Confabulations | 40.3% | — |
| Vectara Hallucination Rate | 7.4% | — |
Multimodal MiMo-V2.6-Pro leads
Gemma 3 27B: 32.0 (#94), MiMo-V2.6-Pro: 40.2 (#40)
| Benchmark | Gemma 3 27B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Vision | 1165 | 1265 |
| GeoBench | 52% | — |
Multilingual MiMo-V2.6-Pro leads
Gemma 3 27B: 47.0 (#150), MiMo-V2.6-Pro: 57.0 (#15)
| Benchmark | Gemma 3 27B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Non-English | 1334 | 1474 |
| LMArena Chinese | 1347 | 1532 |
| LMArena Russian | 1349 | 1481 |
| LMArena French | 1368 | — |
| LMArena German | 1362 | — |
| LMArena Japanese | 1287 | — |
| LMArena Korean | 1308 | — |
| LMArena Spanish | 1348 | — |
Instruction Following MiMo-V2.6-Pro leads
Gemma 3 27B: 70.8 (#155), MiMo-V2.6-Pro: 78.2 (#10)
| Benchmark | Gemma 3 27B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Instruction Following | 1321 | 1490 |
| LiveBench Instruction Following | 74.9% | — |
Long Context MiMo-V2.6-Pro leads
Gemma 3 27B: 27.6 (#288), MiMo-V2.6-Pro: 46.0 (#26)
| Benchmark | Gemma 3 27B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Longer Query | 1333 | 1500 |
| Fiction.LiveBench | 33.3% | — |
Writing & Preference MiMo-V2.6-Pro leads
Gemma 3 27B: 52.7 (#161), MiMo-V2.6-Pro: 66.9 (#32)
| Benchmark | Gemma 3 27B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Text | 1358 | 1491 |
| LMArena Creative Writing | 1346 | 1465 |
| LMArena Multi-Turn | 1344 | 1463 |
| 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-V2.6-Pro?
MiMo-V2.6-Pro is the stronger model overall, scoring 46.7 to 30.5 on the Noometry Index. Gemma 3 27B costs 5.4× less per token, which makes it the better buy when MiMo-V2.6-Pro's lead doesn't matter for your workload.
Which is cheaper, Gemma 3 27B or MiMo-V2.6-Pro?
Gemma 3 27B is cheaper. It lists at $0.08 per million input tokens and $0.16 per million output tokens; MiMo-V2.6-Pro lists at $0.43 and $0.87.
Is Gemma 3 27B or MiMo-V2.6-Pro better for coding?
MiMo-V2.6-Pro scores higher on coding benchmarks: 53.2 versus 22.1 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.6-Pro does, with 1.05M tokens against 131K.
How many benchmarks do Gemma 3 27B and MiMo-V2.6-Pro share?
13 benchmarks have published results for both models. Gemma 3 27B has 43 scored results on Noometry and MiMo-V2.6-Pro has 14.