Model comparison
GLM-4.5 vs MiMo-V2.6-Flash
MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 42.0 on the Noometry Index.
Last verified . 14 shared benchmarks.
Summary
- They share 14 benchmarks with published results for both. GLM-4.5 scores higher in 0 categories and MiMo-V2.6-Flash in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where MiMo-V2.6-Flash leads 51.9 to 39.0.
- MiMo-V2.6-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
- MiMo-V2.6-Flash accepts more context: 1.05M tokens versus 131K.
Side by side
| GLM-4.5 | MiMo-V2.6-Flash | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Xiaomi |
| Noometry Index | 42.0 | 48.5 |
| Released | 2025-07-27 | 2026-09-21 |
| 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 | 19 |
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Category by category
Coding MiMo-V2.6-Flash leads
GLM-4.5: 41.4 (#125), MiMo-V2.6-Flash: 53.4 (#30)
| Benchmark | GLM-4.5 | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Coding | 1434 | 1504 |
| SWE-bench Verified (bash only) | 54.2% | — |
| LMArena WebDev | — | 1637 |
| SciCode | — | 51.3% |
| WeirdML | 40.6% | — |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |
Reasoning MiMo-V2.6-Flash leads
GLM-4.5: 28.6 (#100), MiMo-V2.6-Flash: 36.5 (#66)
| Benchmark | GLM-4.5 | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Hard Prompts | 1429 | 1482 |
| Kagi LLM Benchmark | 57.9% | — |
| CritPt | — | 12% |
Math MiMo-V2.6-Flash leads
GLM-4.5: 39.0 (#116), MiMo-V2.6-Flash: 51.9 (#52)
| Benchmark | GLM-4.5 | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Math | 1427 | 1468 |
| ProofBench | — | 63% |
Knowledge MiMo-V2.6-Flash leads
GLM-4.5: 35.9 (#179), MiMo-V2.6-Flash: 42.2 (#99)
| Benchmark | GLM-4.5 | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Expert | 1433 | 1501 |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
Multimodal Not comparable
GLM-4.5: —, MiMo-V2.6-Flash: 40.5 (#47)
| Benchmark | GLM-4.5 | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Vision | — | 1259 |
Multilingual MiMo-V2.6-Flash leads
GLM-4.5: 52.8 (#77), MiMo-V2.6-Flash: 54.0 (#51)
| Benchmark | GLM-4.5 | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Non-English | 1417 | 1434 |
| LMArena Chinese | 1465 | 1511 |
| LMArena French | 1418 | 1475 |
| LMArena Russian | 1414 | 1409 |
| LMArena Spanish | 1454 | 1456 |
| LMArena German | 1407 | — |
| LMArena Japanese | 1415 | — |
| LMArena Korean | 1380 | — |
Instruction Following MiMo-V2.6-Flash leads
GLM-4.5: 74.1 (#104), MiMo-V2.6-Flash: 76.8 (#35)
| Benchmark | GLM-4.5 | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Instruction Following | 1404 | 1463 |
Long Context MiMo-V2.6-Flash leads
GLM-4.5: 38.2 (#201), MiMo-V2.6-Flash: 44.8 (#57)
| Benchmark | GLM-4.5 | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Longer Query | 1412 | 1463 |
| Fiction.LiveBench | 58.3% | — |
Writing & Preference MiMo-V2.6-Flash leads
GLM-4.5: 57.5 (#127), MiMo-V2.6-Flash: 63.1 (#67)
| Benchmark | GLM-4.5 | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Text | 1430 | 1455 |
| LMArena Creative Writing | 1395 | 1400 |
| LMArena Multi-Turn | 1415 | 1451 |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |
Frequently asked questions
Is GLM-4.5 better than MiMo-V2.6-Flash?
MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 42.0 on the Noometry Index.
Which is cheaper, GLM-4.5 or MiMo-V2.6-Flash?
MiMo-V2.6-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-V2.6-Flash better for coding?
MiMo-V2.6-Flash scores higher on coding benchmarks: 53.4 versus 41.4 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.6-Flash does, with 1.05M tokens against 131K.
How many benchmarks do GLM-4.5 and MiMo-V2.6-Flash share?
14 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and MiMo-V2.6-Flash has 19.