Model comparison
GLM-4.6V vs MiMo-V2.5-Pro
MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 41.3 on the Noometry Index.
Last verified . 11 shared benchmarks.
Summary
- They share 11 benchmarks with published results for both. GLM-4.6V scores higher in 1 category and MiMo-V2.5-Pro in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2.5-Pro leads 65.3 to 56.6.
- GLM-4.6V is cheaper at $0.30 / $0.90 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2.5-Pro.
- MiMo-V2.5-Pro accepts more context: 1.05M tokens versus 128K.
Side by side
| GLM-4.6V | MiMo-V2.5-Pro | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Xiaomi |
| Noometry Index | 41.3 | 45.2 |
| Released | 2025-12-08 | 2026-04-22 |
| Weights | Open | Open |
| Context window | 128K | 1.05M |
| Max output | 33K | 131K |
| Input $ / M tokens | $0.30 | $0.43 |
| Output $ / M tokens | $0.90 | $0.87 |
| Results tracked | 12 | 27 |
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Category by category
Coding MiMo-V2.5-Pro leads
GLM-4.6V: 40.9 (#128), MiMo-V2.5-Pro: 47.4 (#60)
| Benchmark | GLM-4.6V | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Coding | 1390 | 1503 |
| LMArena WebDev | — | 1479 |
| SciCode | — | 50.2% |
| ALE-Bench | — | 899.8 |
Reasoning Too close to call
GLM-4.6V: 27.6 (#115), MiMo-V2.5-Pro: 26.8 (#130)
| Benchmark | GLM-4.6V | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Hard Prompts | 1368 | 1488 |
| NYT Connections (extended) | — | 34.4% |
| CritPt | — | 4% |
| DTBench | — | 84.5% |
| LMCA | — | 29.5% |
Math Not comparable
GLM-4.6V: —, MiMo-V2.5-Pro: 40.0 (#96)
| Benchmark | GLM-4.6V | MiMo-V2.5-Pro |
|---|---|---|
| ProofBench | — | 22% |
| LMArena Math | — | 1481 |
Knowledge MiMo-V2.5-Pro leads
GLM-4.6V: 38.0 (#149), MiMo-V2.5-Pro: 42.2 (#98)
| Benchmark | GLM-4.6V | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Expert | 1371 | 1503 |
Multimodal Not comparable
GLM-4.6V: 34.8 (#90), MiMo-V2.5-Pro: —
| Benchmark | GLM-4.6V | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Vision | 1164 | — |
Multilingual MiMo-V2.5-Pro leads
GLM-4.6V: 48.6 (#141), MiMo-V2.5-Pro: 55.1 (#34)
| Benchmark | GLM-4.6V | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Non-English | 1359 | 1449 |
| LMArena Chinese | 1425 | 1507 |
| LMArena Russian | 1340 | 1450 |
| LMArena French | — | 1488 |
| LMArena German | — | 1458 |
| LMArena Japanese | — | 1412 |
| LMArena Korean | — | 1437 |
| LMArena Spanish | — | 1471 |
Instruction Following MiMo-V2.5-Pro leads
GLM-4.6V: 71.4 (#151), MiMo-V2.5-Pro: 77.5 (#21)
| Benchmark | GLM-4.6V | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Instruction Following | 1352 | 1477 |
Long Context MiMo-V2.5-Pro leads
GLM-4.6V: 41.3 (#143), MiMo-V2.5-Pro: 45.4 (#37)
| Benchmark | GLM-4.6V | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Longer Query | 1358 | 1483 |
Writing & Preference MiMo-V2.5-Pro leads
GLM-4.6V: 56.6 (#137), MiMo-V2.5-Pro: 65.3 (#49)
| Benchmark | GLM-4.6V | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Text | 1377 | 1465 |
| LMArena Creative Writing | 1347 | 1440 |
| LMArena Multi-Turn | 1360 | 1477 |
| EQ-Bench Creative Writing | — | 1493 |
| EQ-Bench 4 | — | 1208 |
Frequently asked questions
Is GLM-4.6V better than MiMo-V2.5-Pro?
MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 41.3 on the Noometry Index.
Which is cheaper, GLM-4.6V or MiMo-V2.5-Pro?
GLM-4.6V is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; MiMo-V2.5-Pro lists at $0.43 and $0.87.
Is GLM-4.6V or MiMo-V2.5-Pro better for coding?
MiMo-V2.5-Pro scores higher on coding benchmarks: 47.4 versus 40.9 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.5-Pro does, with 1.05M tokens against 128K.
How many benchmarks do GLM-4.6V and MiMo-V2.5-Pro share?
11 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and MiMo-V2.5-Pro has 27.