Model comparison
GLM-4.7-Flash vs MiMo-V2-Pro
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 3.7× less per token, which makes it the better buy when MiMo-V2-Pro's lead doesn't matter for your workload.
Last verified . 16 shared benchmarks.
Summary
- They share 16 benchmarks with published results for both. GLM-4.7-Flash scores higher in 0 categories and MiMo-V2-Pro in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2-Pro leads 62.8 to 47.4.
- GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2-Pro.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 200K.
- GLM-4.7-Flash has downloadable open weights; the other is API-only.
Side by side
| GLM-4.7-Flash | MiMo-V2-Pro | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Xiaomi |
| Noometry Index | 38.8 | 43.0 |
| Released | 2026-01-19 | 2026-03-18 |
| Weights | Open | Proprietary |
| Context window | 200K | 1.05M |
| Max output | 131K | 131K |
| Input $ / M tokens | $0.06 | $0.43 |
| Output $ / M tokens | $0.40 | $0.87 |
| Results tracked | 21 | 23 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding MiMo-V2-Pro leads
GLM-4.7-Flash: 40.6 (#135), MiMo-V2-Pro: 43.8 (#83)
| Benchmark | GLM-4.7-Flash | MiMo-V2-Pro |
|---|---|---|
| LMArena Coding | 1383 | 1476 |
| LMArena WebDev | — | 1433 |
| ALE-Bench | — | 785.17 |
Reasoning MiMo-V2-Pro leads
GLM-4.7-Flash: 20.9 (#229), MiMo-V2-Pro: 22.1 (#206)
| Benchmark | GLM-4.7-Flash | MiMo-V2-Pro |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1457 |
| NYT Connections (extended) | — | 25.8% |
| Chess Puzzles | 0% | — |
| Thematic Generalization | — | 45.9% |
Math MiMo-V2-Pro leads
GLM-4.7-Flash: 36.1 (#173), MiMo-V2-Pro: 39.5 (#102)
| Benchmark | GLM-4.7-Flash | MiMo-V2-Pro |
|---|---|---|
| LMArena Math | 1355 | 1447 |
| OTIS Mock AIME 2024-2025 | 58.3% | — |
Knowledge MiMo-V2-Pro leads
GLM-4.7-Flash: 35.5 (#184), MiMo-V2-Pro: 41.4 (#111)
| Benchmark | GLM-4.7-Flash | MiMo-V2-Pro |
|---|---|---|
| LMArena Expert | 1357 | 1478 |
| GPQA Diamond | 60.5% | — |
| Vectara Hallucination Rate | 9.3% | — |
Multilingual MiMo-V2-Pro leads
GLM-4.7-Flash: 46.5 (#158), MiMo-V2-Pro: 52.7 (#81)
| Benchmark | GLM-4.7-Flash | MiMo-V2-Pro |
|---|---|---|
| LMArena Non-English | 1330 | 1416 |
| LMArena Chinese | 1403 | 1456 |
| LMArena French | 1332 | 1469 |
| LMArena German | 1337 | 1417 |
| LMArena Korean | 1283 | 1400 |
| LMArena Russian | 1332 | 1427 |
| LMArena Spanish | 1350 | 1457 |
| LMArena Japanese | — | 1366 |
Instruction Following MiMo-V2-Pro leads
GLM-4.7-Flash: 70.1 (#167), MiMo-V2-Pro: 76.0 (#49)
| Benchmark | GLM-4.7-Flash | MiMo-V2-Pro |
|---|---|---|
| LMArena Instruction Following | 1327 | 1445 |
Long Context Too close to call
GLM-4.7-Flash: 40.9 (#148), MiMo-V2-Pro: 41.5 (#138)
| Benchmark | GLM-4.7-Flash | MiMo-V2-Pro |
|---|---|---|
| LMArena Longer Query | 1345 | 1455 |
| CL-bench | — | 15.7% |
| CL-bench Life | — | 6.9% |
Writing & Preference MiMo-V2-Pro leads
GLM-4.7-Flash: 47.4 (#210), MiMo-V2-Pro: 62.8 (#70)
| Benchmark | GLM-4.7-Flash | MiMo-V2-Pro |
|---|---|---|
| LMArena Text | 1351 | 1436 |
| LMArena Creative Writing | 1297 | 1415 |
| LMArena Multi-Turn | 1342 | 1456 |
| EQ-Bench Creative Writing | 1125 | — |
Frequently asked questions
Is GLM-4.7-Flash better than MiMo-V2-Pro?
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 3.7× less per token, which makes it the better buy when MiMo-V2-Pro's lead doesn't matter for your workload.
Which is cheaper, GLM-4.7-Flash or MiMo-V2-Pro?
GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; MiMo-V2-Pro lists at $0.43 and $0.87.
Is GLM-4.7-Flash or MiMo-V2-Pro better for coding?
MiMo-V2-Pro scores higher on coding benchmarks: 43.8 versus 40.6 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-4.7-Flash and MiMo-V2-Pro share?
16 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and MiMo-V2-Pro has 23.