Model comparison
GLM-4.7-Flash vs MiMo-V2-Flash
MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 38.8 on the Noometry Index.
Last verified . 16 shared benchmarks.
Summary
- They share 16 benchmarks with published results for both. GLM-4.7-Flash scores higher in 1 category and MiMo-V2-Flash in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2-Flash leads 59.7 to 47.4.
- GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $0.14 / $0.28 for MiMo-V2-Flash.
- MiMo-V2-Flash accepts more context: 262K tokens versus 200K.
Side by side
| GLM-4.7-Flash | MiMo-V2-Flash | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Xiaomi |
| Noometry Index | 38.8 | 41.3 |
| Released | 2026-01-19 | 2025-12-16 |
| Weights | Open | Open |
| Context window | 200K | 262K |
| Max output | 131K | 66K |
| Input $ / M tokens | $0.06 | $0.14 |
| Output $ / M tokens | $0.40 | $0.28 |
| Results tracked | 21 | 21 |
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Category by category
Coding GLM-4.7-Flash leads
GLM-4.7-Flash: 40.6 (#135), MiMo-V2-Flash: 36.1 (#211)
| Benchmark | GLM-4.7-Flash | MiMo-V2-Flash |
|---|---|---|
| LMArena Coding | 1383 | 1443 |
| LMArena WebDev | — | 1330 |
| SciCode | — | 25.9% |
| ALE-Bench | — | 737.95 |
Reasoning MiMo-V2-Flash leads
GLM-4.7-Flash: 20.9 (#229), MiMo-V2-Flash: 24.9 (#157)
| Benchmark | GLM-4.7-Flash | MiMo-V2-Flash |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1420 |
| CritPt | — | 0% |
| Chess Puzzles | 0% | — |
Math MiMo-V2-Flash leads
GLM-4.7-Flash: 36.1 (#173), MiMo-V2-Flash: 38.3 (#139)
| Benchmark | GLM-4.7-Flash | MiMo-V2-Flash |
|---|---|---|
| LMArena Math | 1355 | 1396 |
| OTIS Mock AIME 2024-2025 | 58.3% | — |
Knowledge MiMo-V2-Flash leads
GLM-4.7-Flash: 35.5 (#184), MiMo-V2-Flash: 39.7 (#131)
| Benchmark | GLM-4.7-Flash | MiMo-V2-Flash |
|---|---|---|
| LMArena Expert | 1357 | 1425 |
| GPQA Diamond | 60.5% | — |
| Vectara Hallucination Rate | 9.3% | — |
Multilingual MiMo-V2-Flash leads
GLM-4.7-Flash: 46.5 (#158), MiMo-V2-Flash: 51.0 (#113)
| Benchmark | GLM-4.7-Flash | MiMo-V2-Flash |
|---|---|---|
| LMArena Non-English | 1330 | 1392 |
| LMArena Chinese | 1403 | 1462 |
| LMArena French | 1332 | 1429 |
| LMArena German | 1337 | 1395 |
| LMArena Korean | 1283 | 1358 |
| LMArena Russian | 1332 | 1387 |
| LMArena Spanish | 1350 | 1420 |
| LMArena Japanese | — | 1325 |
Instruction Following MiMo-V2-Flash leads
GLM-4.7-Flash: 70.1 (#167), MiMo-V2-Flash: 73.5 (#120)
| Benchmark | GLM-4.7-Flash | MiMo-V2-Flash |
|---|---|---|
| LMArena Instruction Following | 1327 | 1392 |
Long Context MiMo-V2-Flash leads
GLM-4.7-Flash: 40.9 (#148), MiMo-V2-Flash: 43.0 (#110)
| Benchmark | GLM-4.7-Flash | MiMo-V2-Flash |
|---|---|---|
| LMArena Longer Query | 1345 | 1409 |
Writing & Preference MiMo-V2-Flash leads
GLM-4.7-Flash: 47.4 (#210), MiMo-V2-Flash: 59.7 (#106)
| Benchmark | GLM-4.7-Flash | MiMo-V2-Flash |
|---|---|---|
| LMArena Text | 1351 | 1411 |
| LMArena Creative Writing | 1297 | 1375 |
| LMArena Multi-Turn | 1342 | 1404 |
| EQ-Bench Creative Writing | 1125 | — |
Frequently asked questions
Is GLM-4.7-Flash better than MiMo-V2-Flash?
MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 38.8 on the Noometry Index.
Which is cheaper, GLM-4.7-Flash or MiMo-V2-Flash?
GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; MiMo-V2-Flash lists at $0.14 and $0.28.
Is GLM-4.7-Flash or MiMo-V2-Flash better for coding?
GLM-4.7-Flash scores higher on coding benchmarks: 40.6 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-4.7-Flash and MiMo-V2-Flash share?
16 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and MiMo-V2-Flash has 21.