Model comparison
GLM-4.7-Flash vs MiMo-V2-Omni
MiMo-V2-Omni is the stronger model overall, scoring 43.6 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 0 categories and MiMo-V2-Omni in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2-Omni leads 61.4 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-Omni.
- MiMo-V2-Omni accepts more context: 262K 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-Omni | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Xiaomi |
| Noometry Index | 38.8 | 43.6 |
| Released | 2026-01-19 | 2026-03-18 |
| Weights | Open | Proprietary |
| Context window | 200K | 262K |
| Max output | 131K | 131K |
| Input $ / M tokens | $0.06 | $0.14 |
| Output $ / M tokens | $0.40 | $0.28 |
| Results tracked | 21 | 18 |
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Category by category
Coding MiMo-V2-Omni leads
GLM-4.7-Flash: 40.6 (#135), MiMo-V2-Omni: 43.3 (#89)
| Benchmark | GLM-4.7-Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Coding | 1383 | 1466 |
Reasoning MiMo-V2-Omni leads
GLM-4.7-Flash: 20.9 (#229), MiMo-V2-Omni: 29.7 (#88)
| Benchmark | GLM-4.7-Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1445 |
| Chess Puzzles | 0% | — |
Math MiMo-V2-Omni leads
GLM-4.7-Flash: 36.1 (#173), MiMo-V2-Omni: 39.1 (#115)
| Benchmark | GLM-4.7-Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Math | 1355 | 1430 |
| OTIS Mock AIME 2024-2025 | 58.3% | — |
Knowledge MiMo-V2-Omni leads
GLM-4.7-Flash: 35.5 (#184), MiMo-V2-Omni: 40.5 (#118)
| Benchmark | GLM-4.7-Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Expert | 1357 | 1449 |
| GPQA Diamond | 60.5% | — |
| Vectara Hallucination Rate | 9.3% | — |
Multimodal Not comparable
GLM-4.7-Flash: —, MiMo-V2-Omni: 38.6 (#63)
| Benchmark | GLM-4.7-Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Vision | — | 1228 |
Multilingual MiMo-V2-Omni leads
GLM-4.7-Flash: 46.5 (#158), MiMo-V2-Omni: 51.8 (#102)
| Benchmark | GLM-4.7-Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Non-English | 1330 | 1404 |
| LMArena Chinese | 1403 | 1465 |
| LMArena French | 1332 | 1447 |
| LMArena German | 1337 | 1399 |
| LMArena Korean | 1283 | 1355 |
| LMArena Russian | 1332 | 1412 |
| LMArena Spanish | 1350 | 1434 |
| LMArena Japanese | — | 1317 |
Instruction Following MiMo-V2-Omni leads
GLM-4.7-Flash: 70.1 (#167), MiMo-V2-Omni: 75.2 (#66)
| Benchmark | GLM-4.7-Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Instruction Following | 1327 | 1428 |
Long Context MiMo-V2-Omni leads
GLM-4.7-Flash: 40.9 (#148), MiMo-V2-Omni: 44.1 (#76)
| Benchmark | GLM-4.7-Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Longer Query | 1345 | 1442 |
Writing & Preference MiMo-V2-Omni leads
GLM-4.7-Flash: 47.4 (#210), MiMo-V2-Omni: 61.4 (#87)
| Benchmark | GLM-4.7-Flash | MiMo-V2-Omni |
|---|---|---|
| LMArena Text | 1351 | 1423 |
| LMArena Creative Writing | 1297 | 1392 |
| LMArena Multi-Turn | 1342 | 1445 |
| EQ-Bench Creative Writing | 1125 | — |
Frequently asked questions
Is GLM-4.7-Flash better than MiMo-V2-Omni?
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 38.8 on the Noometry Index.
Which is cheaper, GLM-4.7-Flash or MiMo-V2-Omni?
GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; MiMo-V2-Omni lists at $0.14 and $0.28.
Is GLM-4.7-Flash or MiMo-V2-Omni better for coding?
MiMo-V2-Omni scores higher on coding benchmarks: 43.3 versus 40.6 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2-Omni does, with 262K tokens against 200K.
How many benchmarks do GLM-4.7-Flash and MiMo-V2-Omni share?
16 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and MiMo-V2-Omni has 18.