Model comparison
GLM-5V-Turbo vs MiMo-V2-Flash
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 41.3 on the Noometry Index. MiMo-V2-Flash costs 11× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. GLM-5V-Turbo scores higher in 8 categories and MiMo-V2-Flash in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in coding, where GLM-5V-Turbo leads 42.1 to 36.1.
- MiMo-V2-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $1.20 / $4 for GLM-5V-Turbo.
- MiMo-V2-Flash accepts more context: 262K tokens versus 200K.
- MiMo-V2-Flash has downloadable open weights; the other is API-only.
Side by side
| GLM-5V-Turbo | MiMo-V2-Flash | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Xiaomi |
| Noometry Index | 43.8 | 41.3 |
| Released | 2026-04-01 | 2025-12-16 |
| Weights | Proprietary | Open |
| Context window | 200K | 262K |
| Max output | 131K | 66K |
| Input $ / M tokens | $1.20 | $0.14 |
| Output $ / M tokens | $4 | $0.28 |
| Results tracked | 19 | 21 |
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Category by category
Coding GLM-5V-Turbo leads
GLM-5V-Turbo: 42.1 (#111), MiMo-V2-Flash: 36.1 (#211)
| Benchmark | GLM-5V-Turbo | MiMo-V2-Flash |
|---|---|---|
| LMArena WebDev | 1401 | 1330 |
| LMArena Coding | 1466 | 1443 |
| SciCode | — | 25.9% |
| ALE-Bench | — | 737.95 |
Reasoning GLM-5V-Turbo leads
GLM-5V-Turbo: 29.7 (#89), MiMo-V2-Flash: 24.9 (#157)
| Benchmark | GLM-5V-Turbo | MiMo-V2-Flash |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1420 |
| CritPt | — | 0% |
Math GLM-5V-Turbo leads
GLM-5V-Turbo: 39.4 (#106), MiMo-V2-Flash: 38.3 (#139)
| Benchmark | GLM-5V-Turbo | MiMo-V2-Flash |
|---|---|---|
| LMArena Math | 1441 | 1396 |
Knowledge Too close to call
GLM-5V-Turbo: 40.6 (#117), MiMo-V2-Flash: 39.7 (#131)
| Benchmark | GLM-5V-Turbo | MiMo-V2-Flash |
|---|---|---|
| LMArena Expert | 1452 | 1425 |
Multimodal Not comparable
GLM-5V-Turbo: 40.9 (#42), MiMo-V2-Flash: —
| Benchmark | GLM-5V-Turbo | MiMo-V2-Flash |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |
Multilingual GLM-5V-Turbo leads
GLM-5V-Turbo: 53.0 (#73), MiMo-V2-Flash: 51.0 (#113)
| Benchmark | GLM-5V-Turbo | MiMo-V2-Flash |
|---|---|---|
| LMArena Non-English | 1420 | 1392 |
| LMArena Chinese | 1488 | 1462 |
| LMArena French | 1444 | 1429 |
| LMArena German | 1423 | 1395 |
| LMArena Korean | 1396 | 1358 |
| LMArena Russian | 1431 | 1387 |
| LMArena Spanish | 1450 | 1420 |
| LMArena Japanese | — | 1325 |
Instruction Following GLM-5V-Turbo leads
GLM-5V-Turbo: 75.0 (#80), MiMo-V2-Flash: 73.5 (#120)
| Benchmark | GLM-5V-Turbo | MiMo-V2-Flash |
|---|---|---|
| LMArena Instruction Following | 1423 | 1392 |
Long Context Too close to call
GLM-5V-Turbo: 44.0 (#80), MiMo-V2-Flash: 43.0 (#110)
| Benchmark | GLM-5V-Turbo | MiMo-V2-Flash |
|---|---|---|
| LMArena Longer Query | 1438 | 1409 |
Writing & Preference GLM-5V-Turbo leads
GLM-5V-Turbo: 62.5 (#73), MiMo-V2-Flash: 59.7 (#106)
| Benchmark | GLM-5V-Turbo | MiMo-V2-Flash |
|---|---|---|
| LMArena Text | 1437 | 1411 |
| LMArena Creative Writing | 1416 | 1375 |
| LMArena Multi-Turn | 1432 | 1404 |
Frequently asked questions
Is GLM-5V-Turbo better than MiMo-V2-Flash?
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 41.3 on the Noometry Index. MiMo-V2-Flash costs 11× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.
Which is cheaper, GLM-5V-Turbo or MiMo-V2-Flash?
MiMo-V2-Flash is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; GLM-5V-Turbo lists at $1.20 and $4.
Is GLM-5V-Turbo or MiMo-V2-Flash better for coding?
GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 36.1 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2-Flash does, with 262K tokens against 200K.
How many benchmarks do GLM-5V-Turbo and MiMo-V2-Flash share?
17 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and MiMo-V2-Flash has 21.