Model comparison
GLM-4.7-Flash vs MiMo-V2.5
MiMo-V2.5 is the stronger model overall, scoring 43.4 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-V2.5 in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2.5 leads 61.6 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-V2.5.
- MiMo-V2.5 accepts more context: 1.05M tokens versus 200K.
Side by side
| GLM-4.7-Flash | MiMo-V2.5 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Xiaomi |
| Noometry Index | 38.8 | 43.4 |
| Released | 2026-01-19 | 2026-04-22 |
| Weights | Open | Open |
| Context window | 200K | 1.05M |
| Max output | 131K | 131K |
| Input $ / M tokens | $0.06 | $0.14 |
| Output $ / M tokens | $0.40 | $0.28 |
| Results tracked | 21 | 23 |
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Category by category
Coding MiMo-V2.5 leads
GLM-4.7-Flash: 40.6 (#135), MiMo-V2.5: 43.9 (#81)
| Benchmark | GLM-4.7-Flash | MiMo-V2.5 |
|---|---|---|
| LMArena Coding | 1383 | 1469 |
| LMArena WebDev | — | 1438 |
| SciCode | — | 43.1% |
| ALE-Bench | — | 513.95 |
Reasoning MiMo-V2.5 leads
GLM-4.7-Flash: 20.9 (#229), MiMo-V2.5: 28.6 (#101)
| Benchmark | GLM-4.7-Flash | MiMo-V2.5 |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1450 |
| CritPt | — | 3.7% |
| Chess Puzzles | 0% | — |
Math Too close to call
GLM-4.7-Flash: 36.1 (#173), MiMo-V2.5: 36.8 (#163)
| Benchmark | GLM-4.7-Flash | MiMo-V2.5 |
|---|---|---|
| LMArena Math | 1355 | 1436 |
| OTIS Mock AIME 2024-2025 | 58.3% | — |
| ProofBench | — | 16% |
Knowledge MiMo-V2.5 leads
GLM-4.7-Flash: 35.5 (#184), MiMo-V2.5: 40.8 (#115)
| Benchmark | GLM-4.7-Flash | MiMo-V2.5 |
|---|---|---|
| LMArena Expert | 1357 | 1460 |
| GPQA Diamond | 60.5% | — |
| Vectara Hallucination Rate | 9.3% | — |
Multimodal Not comparable
GLM-4.7-Flash: —, MiMo-V2.5: 39.8 (#54)
| Benchmark | GLM-4.7-Flash | MiMo-V2.5 |
|---|---|---|
| LMArena Vision | — | 1247 |
Multilingual MiMo-V2.5 leads
GLM-4.7-Flash: 46.5 (#158), MiMo-V2.5: 51.9 (#99)
| Benchmark | GLM-4.7-Flash | MiMo-V2.5 |
|---|---|---|
| LMArena Non-English | 1330 | 1404 |
| LMArena Chinese | 1403 | 1468 |
| LMArena French | 1332 | 1447 |
| LMArena German | 1337 | 1421 |
| LMArena Korean | 1283 | 1363 |
| LMArena Russian | 1332 | 1395 |
| LMArena Spanish | 1350 | 1416 |
| LMArena Japanese | — | 1306 |
Instruction Following MiMo-V2.5 leads
GLM-4.7-Flash: 70.1 (#167), MiMo-V2.5: 75.5 (#60)
| Benchmark | GLM-4.7-Flash | MiMo-V2.5 |
|---|---|---|
| LMArena Instruction Following | 1327 | 1434 |
Long Context MiMo-V2.5 leads
GLM-4.7-Flash: 40.9 (#148), MiMo-V2.5: 44.2 (#73)
| Benchmark | GLM-4.7-Flash | MiMo-V2.5 |
|---|---|---|
| LMArena Longer Query | 1345 | 1445 |
Writing & Preference MiMo-V2.5 leads
GLM-4.7-Flash: 47.4 (#210), MiMo-V2.5: 61.6 (#86)
| Benchmark | GLM-4.7-Flash | MiMo-V2.5 |
|---|---|---|
| LMArena Text | 1351 | 1428 |
| LMArena Creative Writing | 1297 | 1393 |
| LMArena Multi-Turn | 1342 | 1445 |
| EQ-Bench Creative Writing | 1125 | — |
Frequently asked questions
Is GLM-4.7-Flash better than MiMo-V2.5?
MiMo-V2.5 is the stronger model overall, scoring 43.4 to 38.8 on the Noometry Index.
Which is cheaper, GLM-4.7-Flash or MiMo-V2.5?
GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; MiMo-V2.5 lists at $0.14 and $0.28.
Is GLM-4.7-Flash or MiMo-V2.5 better for coding?
MiMo-V2.5 scores higher on coding benchmarks: 43.9 versus 40.6 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.5 does, with 1.05M tokens against 200K.
How many benchmarks do GLM-4.7-Flash and MiMo-V2.5 share?
16 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and MiMo-V2.5 has 23.