Model comparison
GLM-5V-Turbo vs MiMo-V2.5-Pro
MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 43.8 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. GLM-5V-Turbo scores higher in 1 category and MiMo-V2.5-Pro in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in coding, where MiMo-V2.5-Pro leads 47.4 to 42.1.
- MiMo-V2.5-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $1.20 / $4 for GLM-5V-Turbo.
- MiMo-V2.5-Pro accepts more context: 1.05M tokens versus 200K.
- MiMo-V2.5-Pro has downloadable open weights; the other is API-only.
Side by side
| GLM-5V-Turbo | MiMo-V2.5-Pro | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Xiaomi |
| Noometry Index | 43.8 | 45.2 |
| Released | 2026-04-01 | 2026-04-22 |
| Weights | Proprietary | Open |
| 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 | 27 |
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Category by category
Coding MiMo-V2.5-Pro leads
GLM-5V-Turbo: 42.1 (#111), MiMo-V2.5-Pro: 47.4 (#60)
| Benchmark | GLM-5V-Turbo | MiMo-V2.5-Pro |
|---|---|---|
| LMArena WebDev | 1401 | 1479 |
| LMArena Coding | 1466 | 1503 |
| SciCode | — | 50.2% |
| ALE-Bench | — | 899.8 |
Reasoning GLM-5V-Turbo leads
GLM-5V-Turbo: 29.7 (#89), MiMo-V2.5-Pro: 26.8 (#130)
| Benchmark | GLM-5V-Turbo | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1488 |
| NYT Connections (extended) | — | 34.4% |
| CritPt | — | 4% |
| DTBench | — | 84.5% |
| LMCA | — | 29.5% |
Math Too close to call
GLM-5V-Turbo: 39.4 (#106), MiMo-V2.5-Pro: 40.0 (#96)
| Benchmark | GLM-5V-Turbo | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Math | 1441 | 1481 |
| ProofBench | — | 22% |
Knowledge MiMo-V2.5-Pro leads
GLM-5V-Turbo: 40.6 (#117), MiMo-V2.5-Pro: 42.2 (#98)
| Benchmark | GLM-5V-Turbo | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Expert | 1452 | 1503 |
Multimodal Not comparable
GLM-5V-Turbo: 40.9 (#42), MiMo-V2.5-Pro: —
| Benchmark | GLM-5V-Turbo | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |
Multilingual MiMo-V2.5-Pro leads
GLM-5V-Turbo: 53.0 (#73), MiMo-V2.5-Pro: 55.1 (#34)
| Benchmark | GLM-5V-Turbo | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Non-English | 1420 | 1449 |
| LMArena Chinese | 1488 | 1507 |
| LMArena French | 1444 | 1488 |
| LMArena German | 1423 | 1458 |
| LMArena Korean | 1396 | 1437 |
| LMArena Russian | 1431 | 1450 |
| LMArena Spanish | 1450 | 1471 |
| LMArena Japanese | — | 1412 |
Instruction Following MiMo-V2.5-Pro leads
GLM-5V-Turbo: 75.0 (#80), MiMo-V2.5-Pro: 77.5 (#21)
| Benchmark | GLM-5V-Turbo | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Instruction Following | 1423 | 1477 |
Long Context MiMo-V2.5-Pro leads
GLM-5V-Turbo: 44.0 (#80), MiMo-V2.5-Pro: 45.4 (#37)
| Benchmark | GLM-5V-Turbo | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Longer Query | 1438 | 1483 |
Writing & Preference MiMo-V2.5-Pro leads
GLM-5V-Turbo: 62.5 (#73), MiMo-V2.5-Pro: 65.3 (#49)
| Benchmark | GLM-5V-Turbo | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Text | 1437 | 1465 |
| LMArena Creative Writing | 1416 | 1440 |
| LMArena Multi-Turn | 1432 | 1477 |
| EQ-Bench Creative Writing | — | 1493 |
| EQ-Bench 4 | — | 1208 |
Frequently asked questions
Is GLM-5V-Turbo better than MiMo-V2.5-Pro?
MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 43.8 on the Noometry Index.
Which is cheaper, GLM-5V-Turbo or MiMo-V2.5-Pro?
MiMo-V2.5-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-V2.5-Pro better for coding?
MiMo-V2.5-Pro scores higher on coding benchmarks: 47.4 versus 42.1 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.5-Pro does, with 1.05M tokens against 200K.
How many benchmarks do GLM-5V-Turbo and MiMo-V2.5-Pro share?
17 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and MiMo-V2.5-Pro has 27.