Model comparison
GLM-4.5 vs MiMo-V2-Flash
GLM-4.5 and MiMo-V2-Flash score almost the same on the Noometry Index (42.0 vs 41.3), so choose on price, context window or the category you care about most.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. GLM-4.5 scores higher in 5 categories and MiMo-V2-Flash in 3 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in coding, where GLM-4.5 leads 41.4 to 36.1.
- MiMo-V2-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
- MiMo-V2-Flash accepts more context: 262K tokens versus 131K.
Side by side
| GLM-4.5 | MiMo-V2-Flash | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Xiaomi |
| Noometry Index | 42.0 | 41.3 |
| Released | 2025-07-27 | 2025-12-16 |
| Weights | Open | Open |
| Context window | 131K | 262K |
| Max output | 98K | 66K |
| Input $ / M tokens | $0.60 | $0.14 |
| Output $ / M tokens | $2.20 | $0.28 |
| Results tracked | 27 | 21 |
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Category by category
Coding GLM-4.5 leads
GLM-4.5: 41.4 (#125), MiMo-V2-Flash: 36.1 (#211)
| Benchmark | GLM-4.5 | MiMo-V2-Flash |
|---|---|---|
| LMArena Coding | 1434 | 1443 |
| ALE-Bench | 344.82 | 737.95 |
| SWE-bench Verified (bash only) | 54.2% | — |
| LMArena WebDev | — | 1330 |
| SciCode | — | 25.9% |
| WeirdML | 40.6% | — |
| AlgoTune | 1.52 | — |
Reasoning GLM-4.5 leads
GLM-4.5: 28.6 (#100), MiMo-V2-Flash: 24.9 (#157)
| Benchmark | GLM-4.5 | MiMo-V2-Flash |
|---|---|---|
| LMArena Hard Prompts | 1429 | 1420 |
| Kagi LLM Benchmark | 57.9% | — |
| CritPt | — | 0% |
Math Too close to call
GLM-4.5: 39.0 (#116), MiMo-V2-Flash: 38.3 (#139)
| Benchmark | GLM-4.5 | MiMo-V2-Flash |
|---|---|---|
| LMArena Math | 1427 | 1396 |
Knowledge MiMo-V2-Flash leads
GLM-4.5: 35.9 (#179), MiMo-V2-Flash: 39.7 (#131)
| Benchmark | GLM-4.5 | MiMo-V2-Flash |
|---|---|---|
| LMArena Expert | 1433 | 1425 |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
Multilingual GLM-4.5 leads
GLM-4.5: 52.8 (#77), MiMo-V2-Flash: 51.0 (#113)
| Benchmark | GLM-4.5 | MiMo-V2-Flash |
|---|---|---|
| LMArena Non-English | 1417 | 1392 |
| LMArena Chinese | 1465 | 1462 |
| LMArena French | 1418 | 1429 |
| LMArena German | 1407 | 1395 |
| LMArena Japanese | 1415 | 1325 |
| LMArena Korean | 1380 | 1358 |
| LMArena Russian | 1414 | 1387 |
| LMArena Spanish | 1454 | 1420 |
Instruction Following Too close to call
GLM-4.5: 74.1 (#104), MiMo-V2-Flash: 73.5 (#120)
| Benchmark | GLM-4.5 | MiMo-V2-Flash |
|---|---|---|
| LMArena Instruction Following | 1404 | 1392 |
Long Context MiMo-V2-Flash leads
GLM-4.5: 38.2 (#201), MiMo-V2-Flash: 43.0 (#110)
| Benchmark | GLM-4.5 | MiMo-V2-Flash |
|---|---|---|
| LMArena Longer Query | 1412 | 1409 |
| Fiction.LiveBench | 58.3% | — |
Writing & Preference MiMo-V2-Flash leads
GLM-4.5: 57.5 (#127), MiMo-V2-Flash: 59.7 (#106)
| Benchmark | GLM-4.5 | MiMo-V2-Flash |
|---|---|---|
| LMArena Text | 1430 | 1411 |
| LMArena Creative Writing | 1395 | 1375 |
| LMArena Multi-Turn | 1415 | 1404 |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |
Frequently asked questions
Is GLM-4.5 better than MiMo-V2-Flash?
GLM-4.5 and MiMo-V2-Flash score almost the same on the Noometry Index (42.0 vs 41.3), so choose on price, context window or the category you care about most.
Which is cheaper, GLM-4.5 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 lists at $0.60 and $2.20.
Is GLM-4.5 or MiMo-V2-Flash better for coding?
GLM-4.5 scores higher on coding benchmarks: 41.4 versus 36.1 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 and MiMo-V2-Flash share?
18 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and MiMo-V2-Flash has 21.