Model comparison
GLM-5V-Turbo vs MiMo-V2-Pro
GLM-5V-Turbo and MiMo-V2-Pro score almost the same on the Noometry Index (43.8 vs 43.0), so choose on price, context window or the category you care about most.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. GLM-5V-Turbo scores higher in 3 categories and MiMo-V2-Pro in 5 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-5V-Turbo leads 29.7 to 22.1.
- MiMo-V2-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $1.20 / $4 for GLM-5V-Turbo.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 200K.
Side by side
| GLM-5V-Turbo | MiMo-V2-Pro | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Xiaomi |
| Noometry Index | 43.8 | 43.0 |
| Released | 2026-04-01 | 2026-03-18 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | 1.05M |
| Max output | 131K | 131K |
| Input $ / M tokens | $1.20 | $0.43 |
| Output $ / M tokens | $4 | $0.87 |
| Results tracked | 19 | 23 |
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Category by category
Coding MiMo-V2-Pro leads
GLM-5V-Turbo: 42.1 (#111), MiMo-V2-Pro: 43.8 (#83)
| Benchmark | GLM-5V-Turbo | MiMo-V2-Pro |
|---|---|---|
| LMArena WebDev | 1401 | 1433 |
| LMArena Coding | 1466 | 1476 |
| ALE-Bench | — | 785.17 |
Reasoning GLM-5V-Turbo leads
GLM-5V-Turbo: 29.7 (#89), MiMo-V2-Pro: 22.1 (#206)
| Benchmark | GLM-5V-Turbo | MiMo-V2-Pro |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1457 |
| NYT Connections (extended) | — | 25.8% |
| Thematic Generalization | — | 45.9% |
Math Too close to call
GLM-5V-Turbo: 39.4 (#106), MiMo-V2-Pro: 39.5 (#102)
| Benchmark | GLM-5V-Turbo | MiMo-V2-Pro |
|---|---|---|
| LMArena Math | 1441 | 1447 |
Knowledge Too close to call
GLM-5V-Turbo: 40.6 (#117), MiMo-V2-Pro: 41.4 (#111)
| Benchmark | GLM-5V-Turbo | MiMo-V2-Pro |
|---|---|---|
| LMArena Expert | 1452 | 1478 |
Multimodal Not comparable
GLM-5V-Turbo: 40.9 (#42), MiMo-V2-Pro: —
| Benchmark | GLM-5V-Turbo | MiMo-V2-Pro |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |
Multilingual Too close to call
GLM-5V-Turbo: 53.0 (#73), MiMo-V2-Pro: 52.7 (#81)
| Benchmark | GLM-5V-Turbo | MiMo-V2-Pro |
|---|---|---|
| LMArena Non-English | 1420 | 1416 |
| LMArena Chinese | 1488 | 1456 |
| LMArena French | 1444 | 1469 |
| LMArena German | 1423 | 1417 |
| LMArena Korean | 1396 | 1400 |
| LMArena Russian | 1431 | 1427 |
| LMArena Spanish | 1450 | 1457 |
| LMArena Japanese | — | 1366 |
Instruction Following MiMo-V2-Pro leads
GLM-5V-Turbo: 75.0 (#80), MiMo-V2-Pro: 76.0 (#49)
| Benchmark | GLM-5V-Turbo | MiMo-V2-Pro |
|---|---|---|
| LMArena Instruction Following | 1423 | 1445 |
Long Context GLM-5V-Turbo leads
GLM-5V-Turbo: 44.0 (#80), MiMo-V2-Pro: 41.5 (#138)
| Benchmark | GLM-5V-Turbo | MiMo-V2-Pro |
|---|---|---|
| LMArena Longer Query | 1438 | 1455 |
| CL-bench | — | 15.7% |
| CL-bench Life | — | 6.9% |
Writing & Preference Too close to call
GLM-5V-Turbo: 62.5 (#73), MiMo-V2-Pro: 62.8 (#70)
| Benchmark | GLM-5V-Turbo | MiMo-V2-Pro |
|---|---|---|
| LMArena Text | 1437 | 1436 |
| LMArena Creative Writing | 1416 | 1415 |
| LMArena Multi-Turn | 1432 | 1456 |
Frequently asked questions
Is GLM-5V-Turbo better than MiMo-V2-Pro?
GLM-5V-Turbo and MiMo-V2-Pro score almost the same on the Noometry Index (43.8 vs 43.0), so choose on price, context window or the category you care about most.
Which is cheaper, GLM-5V-Turbo or MiMo-V2-Pro?
MiMo-V2-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; GLM-5V-Turbo lists at $1.20 and $4.
Is GLM-5V-Turbo or MiMo-V2-Pro better for coding?
MiMo-V2-Pro scores higher on coding benchmarks: 43.8 versus 42.1 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2-Pro does, with 1.05M tokens against 200K.
How many benchmarks do GLM-5V-Turbo and MiMo-V2-Pro share?
17 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and MiMo-V2-Pro has 23.