Model comparison
GLM-4.5 vs MiMo-V2.5
MiMo-V2.5 is the stronger model overall, scoring 43.4 to 42.0 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. GLM-4.5 scores higher in 2 categories and MiMo-V2.5 in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in long context, where MiMo-V2.5 leads 44.2 to 38.2.
- MiMo-V2.5 is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
- MiMo-V2.5 accepts more context: 1.05M tokens versus 131K.
Side by side
| GLM-4.5 | MiMo-V2.5 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Xiaomi |
| Noometry Index | 42.0 | 43.4 |
| Released | 2025-07-27 | 2026-04-22 |
| Weights | Open | Open |
| Context window | 131K | 1.05M |
| Max output | 98K | 131K |
| Input $ / M tokens | $0.60 | $0.14 |
| Output $ / M tokens | $2.20 | $0.28 |
| Results tracked | 27 | 23 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding MiMo-V2.5 leads
GLM-4.5: 41.4 (#125), MiMo-V2.5: 43.9 (#81)
| Benchmark | GLM-4.5 | MiMo-V2.5 |
|---|---|---|
| LMArena Coding | 1434 | 1469 |
| ALE-Bench | 344.82 | 513.95 |
| SWE-bench Verified (bash only) | 54.2% | — |
| LMArena WebDev | — | 1438 |
| SciCode | — | 43.1% |
| WeirdML | 40.6% | — |
| AlgoTune | 1.52 | — |
Reasoning Too close to call
GLM-4.5: 28.6 (#100), MiMo-V2.5: 28.6 (#101)
| Benchmark | GLM-4.5 | MiMo-V2.5 |
|---|---|---|
| LMArena Hard Prompts | 1429 | 1450 |
| Kagi LLM Benchmark | 57.9% | — |
| CritPt | — | 3.7% |
Math GLM-4.5 leads
GLM-4.5: 39.0 (#116), MiMo-V2.5: 36.8 (#163)
| Benchmark | GLM-4.5 | MiMo-V2.5 |
|---|---|---|
| LMArena Math | 1427 | 1436 |
| ProofBench | — | 16% |
Knowledge MiMo-V2.5 leads
GLM-4.5: 35.9 (#179), MiMo-V2.5: 40.8 (#115)
| Benchmark | GLM-4.5 | MiMo-V2.5 |
|---|---|---|
| LMArena Expert | 1433 | 1460 |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
Multimodal Not comparable
GLM-4.5: —, MiMo-V2.5: 39.8 (#54)
| Benchmark | GLM-4.5 | MiMo-V2.5 |
|---|---|---|
| LMArena Vision | — | 1247 |
Multilingual Too close to call
GLM-4.5: 52.8 (#77), MiMo-V2.5: 51.9 (#99)
| Benchmark | GLM-4.5 | MiMo-V2.5 |
|---|---|---|
| LMArena Non-English | 1417 | 1404 |
| LMArena Chinese | 1465 | 1468 |
| LMArena French | 1418 | 1447 |
| LMArena German | 1407 | 1421 |
| LMArena Japanese | 1415 | 1306 |
| LMArena Korean | 1380 | 1363 |
| LMArena Russian | 1414 | 1395 |
| LMArena Spanish | 1454 | 1416 |
Instruction Following MiMo-V2.5 leads
GLM-4.5: 74.1 (#104), MiMo-V2.5: 75.5 (#60)
| Benchmark | GLM-4.5 | MiMo-V2.5 |
|---|---|---|
| LMArena Instruction Following | 1404 | 1434 |
Long Context MiMo-V2.5 leads
GLM-4.5: 38.2 (#201), MiMo-V2.5: 44.2 (#73)
| Benchmark | GLM-4.5 | MiMo-V2.5 |
|---|---|---|
| LMArena Longer Query | 1412 | 1445 |
| Fiction.LiveBench | 58.3% | — |
Writing & Preference MiMo-V2.5 leads
GLM-4.5: 57.5 (#127), MiMo-V2.5: 61.6 (#86)
| Benchmark | GLM-4.5 | MiMo-V2.5 |
|---|---|---|
| LMArena Text | 1430 | 1428 |
| LMArena Creative Writing | 1395 | 1393 |
| LMArena Multi-Turn | 1415 | 1445 |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |
Frequently asked questions
Is GLM-4.5 better than MiMo-V2.5?
MiMo-V2.5 is the stronger model overall, scoring 43.4 to 42.0 on the Noometry Index.
Which is cheaper, GLM-4.5 or MiMo-V2.5?
MiMo-V2.5 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-V2.5 better for coding?
MiMo-V2.5 scores higher on coding benchmarks: 43.9 versus 41.4 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.5 does, with 1.05M tokens against 131K.
How many benchmarks do GLM-4.5 and MiMo-V2.5 share?
18 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and MiMo-V2.5 has 23.