Model comparison
GLM-4.5-Air vs MiMo-V2-Flash
MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 38.9 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. GLM-4.5-Air scores higher in 0 categories and MiMo-V2-Flash in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where MiMo-V2-Flash leads 39.7 to 35.0.
- MiMo-V2-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.20 / $1.10 for GLM-4.5-Air.
- MiMo-V2-Flash accepts more context: 262K tokens versus 131K.
Side by side
| GLM-4.5-Air | MiMo-V2-Flash | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Xiaomi |
| Noometry Index | 38.9 | 41.3 |
| Released | 2025-07-20 | 2025-12-16 |
| Weights | Open | Open |
| Context window | 131K | 262K |
| Max output | 98K | 66K |
| Input $ / M tokens | $0.20 | $0.14 |
| Output $ / M tokens | $1.10 | $0.28 |
| Results tracked | 27 | 21 |
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Category by category
Coding MiMo-V2-Flash leads
GLM-4.5-Air: 33.3 (#259), MiMo-V2-Flash: 36.1 (#211)
| Benchmark | GLM-4.5-Air | MiMo-V2-Flash |
|---|---|---|
| LMArena Coding | 1397 | 1443 |
| LMArena WebDev | — | 1330 |
| SciCode | — | 25.9% |
| GSO | 2.9% | — |
| ALE-Bench | — | 737.95 |
Reasoning Too close to call
GLM-4.5-Air: 24.1 (#166), MiMo-V2-Flash: 24.9 (#157)
| Benchmark | GLM-4.5-Air | MiMo-V2-Flash |
|---|---|---|
| LMArena Hard Prompts | 1379 | 1420 |
| Kagi LLM Benchmark | 43% | — |
| CritPt | — | 0% |
| ForecastBench | 59.2 | — |
Math MiMo-V2-Flash leads
GLM-4.5-Air: 36.2 (#170), MiMo-V2-Flash: 38.3 (#139)
| Benchmark | GLM-4.5-Air | MiMo-V2-Flash |
|---|---|---|
| LMArena Math | 1396 | 1396 |
| Omni-MATH | 39.1% | — |
Knowledge MiMo-V2-Flash leads
GLM-4.5-Air: 35.0 (#191), MiMo-V2-Flash: 39.7 (#131)
| Benchmark | GLM-4.5-Air | MiMo-V2-Flash |
|---|---|---|
| LMArena Expert | 1370 | 1425 |
| Humanity's Last Exam | 8.1% | — |
| MMLU-Pro | 76.2% | — |
| Vectara Hallucination Rate | 9.3% | — |
| GPQA (HELM) | 59.4% | — |
Multilingual MiMo-V2-Flash leads
GLM-4.5-Air: 49.1 (#135), MiMo-V2-Flash: 51.0 (#113)
| Benchmark | GLM-4.5-Air | MiMo-V2-Flash |
|---|---|---|
| LMArena Non-English | 1366 | 1392 |
| LMArena Chinese | 1426 | 1462 |
| LMArena French | 1399 | 1429 |
| LMArena German | 1377 | 1395 |
| LMArena Japanese | 1348 | 1325 |
| LMArena Korean | 1308 | 1358 |
| LMArena Russian | 1373 | 1387 |
| LMArena Spanish | 1386 | 1420 |
Instruction Following MiMo-V2-Flash leads
GLM-4.5-Air: 69.6 (#171), MiMo-V2-Flash: 73.5 (#120)
| Benchmark | GLM-4.5-Air | MiMo-V2-Flash |
|---|---|---|
| LMArena Instruction Following | 1354 | 1392 |
| IFEval | 81.2% | — |
Long Context MiMo-V2-Flash leads
GLM-4.5-Air: 41.6 (#135), MiMo-V2-Flash: 43.0 (#110)
| Benchmark | GLM-4.5-Air | MiMo-V2-Flash |
|---|---|---|
| LMArena Longer Query | 1366 | 1409 |
Writing & Preference MiMo-V2-Flash leads
GLM-4.5-Air: 55.9 (#139), MiMo-V2-Flash: 59.7 (#106)
| Benchmark | GLM-4.5-Air | MiMo-V2-Flash |
|---|---|---|
| LMArena Text | 1384 | 1411 |
| LMArena Creative Writing | 1343 | 1375 |
| LMArena Multi-Turn | 1371 | 1404 |
| WildBench | 78.9% | — |
Frequently asked questions
Is GLM-4.5-Air better than MiMo-V2-Flash?
MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 38.9 on the Noometry Index.
Which is cheaper, GLM-4.5-Air 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-4.5-Air lists at $0.20 and $1.10.
Is GLM-4.5-Air or MiMo-V2-Flash better for coding?
MiMo-V2-Flash scores higher on coding benchmarks: 36.1 versus 33.3 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2-Flash does, with 262K tokens against 131K.
How many benchmarks do GLM-4.5-Air and MiMo-V2-Flash share?
17 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and MiMo-V2-Flash has 21.