Model comparison
GLM-4.6V vs MiMo-V2-Pro
MiMo-V2-Pro is the stronger model overall, scoring 43.0 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-Pro in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2-Pro leads 62.8 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-Pro.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 128K.
- GLM-4.6V has downloadable open weights; the other is API-only.
Side by side
| GLM-4.6V | MiMo-V2-Pro | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Xiaomi |
| Noometry Index | 41.3 | 43.0 |
| Released | 2025-12-08 | 2026-03-18 |
| Weights | Open | Proprietary |
| 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 | 23 |
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Category by category
Coding MiMo-V2-Pro leads
GLM-4.6V: 40.9 (#128), MiMo-V2-Pro: 43.8 (#83)
| Benchmark | GLM-4.6V | MiMo-V2-Pro |
|---|---|---|
| LMArena Coding | 1390 | 1476 |
| LMArena WebDev | — | 1433 |
| ALE-Bench | — | 785.17 |
Reasoning GLM-4.6V leads
GLM-4.6V: 27.6 (#115), MiMo-V2-Pro: 22.1 (#206)
| Benchmark | GLM-4.6V | MiMo-V2-Pro |
|---|---|---|
| LMArena Hard Prompts | 1368 | 1457 |
| NYT Connections (extended) | — | 25.8% |
| Thematic Generalization | — | 45.9% |
Math Not comparable
GLM-4.6V: —, MiMo-V2-Pro: 39.5 (#102)
| Benchmark | GLM-4.6V | MiMo-V2-Pro |
|---|---|---|
| LMArena Math | — | 1447 |
Knowledge MiMo-V2-Pro leads
GLM-4.6V: 38.0 (#149), MiMo-V2-Pro: 41.4 (#111)
| Benchmark | GLM-4.6V | MiMo-V2-Pro |
|---|---|---|
| LMArena Expert | 1371 | 1478 |
Multimodal Not comparable
GLM-4.6V: 34.8 (#90), MiMo-V2-Pro: —
| Benchmark | GLM-4.6V | MiMo-V2-Pro |
|---|---|---|
| LMArena Vision | 1164 | — |
Multilingual MiMo-V2-Pro leads
GLM-4.6V: 48.6 (#141), MiMo-V2-Pro: 52.7 (#81)
| Benchmark | GLM-4.6V | MiMo-V2-Pro |
|---|---|---|
| LMArena Non-English | 1359 | 1416 |
| LMArena Chinese | 1425 | 1456 |
| LMArena Russian | 1340 | 1427 |
| LMArena French | — | 1469 |
| LMArena German | — | 1417 |
| LMArena Japanese | — | 1366 |
| LMArena Korean | — | 1400 |
| LMArena Spanish | — | 1457 |
Instruction Following MiMo-V2-Pro leads
GLM-4.6V: 71.4 (#151), MiMo-V2-Pro: 76.0 (#49)
| Benchmark | GLM-4.6V | MiMo-V2-Pro |
|---|---|---|
| LMArena Instruction Following | 1352 | 1445 |
Long Context Too close to call
GLM-4.6V: 41.3 (#143), MiMo-V2-Pro: 41.5 (#138)
| Benchmark | GLM-4.6V | MiMo-V2-Pro |
|---|---|---|
| LMArena Longer Query | 1358 | 1455 |
| CL-bench | — | 15.7% |
| CL-bench Life | — | 6.9% |
Writing & Preference MiMo-V2-Pro leads
GLM-4.6V: 56.6 (#137), MiMo-V2-Pro: 62.8 (#70)
| Benchmark | GLM-4.6V | MiMo-V2-Pro |
|---|---|---|
| LMArena Text | 1377 | 1436 |
| LMArena Creative Writing | 1347 | 1415 |
| LMArena Multi-Turn | 1360 | 1456 |
Frequently asked questions
Is GLM-4.6V better than MiMo-V2-Pro?
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 41.3 on the Noometry Index.
Which is cheaper, GLM-4.6V or MiMo-V2-Pro?
GLM-4.6V is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; MiMo-V2-Pro lists at $0.43 and $0.87.
Is GLM-4.6V or MiMo-V2-Pro better for coding?
MiMo-V2-Pro scores higher on coding benchmarks: 43.8 versus 40.9 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2-Pro does, with 1.05M tokens against 128K.
How many benchmarks do GLM-4.6V and MiMo-V2-Pro share?
11 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and MiMo-V2-Pro has 23.