Model comparison
GLM-4.5V vs MiMo-V2.6-Flash
MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 39.8 on the Noometry Index.
Last verified . 14 shared benchmarks.
Summary
- They share 14 benchmarks with published results for both. GLM-4.5V scores higher in 0 categories and MiMo-V2.6-Flash in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where MiMo-V2.6-Flash leads 51.9 to 37.4.
- MiMo-V2.6-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
- MiMo-V2.6-Flash accepts more context: 1.05M tokens versus 64K.
Side by side
| GLM-4.5V | MiMo-V2.6-Flash | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Xiaomi |
| Noometry Index | 39.8 | 48.5 |
| Released | 2025-08-11 | 2026-09-21 |
| Weights | Open | Open |
| Context window | 64K | 1.05M |
| Max output | 16K | 131K |
| Input $ / M tokens | $0.60 | $0.14 |
| Output $ / M tokens | $1.80 | $0.28 |
| Results tracked | 15 | 19 |
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Category by category
Coding MiMo-V2.6-Flash leads
GLM-4.5V: 39.5 (#155), MiMo-V2.6-Flash: 53.4 (#30)
| Benchmark | GLM-4.5V | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Coding | 1347 | 1504 |
| LMArena WebDev | — | 1637 |
| SciCode | — | 51.3% |
Reasoning MiMo-V2.6-Flash leads
GLM-4.5V: 27.4 (#119), MiMo-V2.6-Flash: 36.5 (#66)
| Benchmark | GLM-4.5V | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Hard Prompts | 1334 | 1482 |
| Kagi LLM Benchmark | 59.8% | — |
| CritPt | — | 12% |
Math MiMo-V2.6-Flash leads
GLM-4.5V: 37.4 (#159), MiMo-V2.6-Flash: 51.9 (#52)
| Benchmark | GLM-4.5V | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Math | 1354 | 1468 |
| ProofBench | — | 63% |
Knowledge MiMo-V2.6-Flash leads
GLM-4.5V: 37.5 (#156), MiMo-V2.6-Flash: 42.2 (#99)
| Benchmark | GLM-4.5V | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Expert | 1353 | 1501 |
Multimodal MiMo-V2.6-Flash leads
GLM-4.5V: 34.3 (#92), MiMo-V2.6-Flash: 40.5 (#47)
| Benchmark | GLM-4.5V | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Vision | 1154 | 1259 |
Multilingual MiMo-V2.6-Flash leads
GLM-4.5V: 44.6 (#177), MiMo-V2.6-Flash: 54.0 (#51)
| Benchmark | GLM-4.5V | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Non-English | 1303 | 1434 |
| LMArena Chinese | 1337 | 1511 |
| LMArena Russian | 1298 | 1409 |
| LMArena Spanish | 1336 | 1456 |
| LMArena French | — | 1475 |
Instruction Following MiMo-V2.6-Flash leads
GLM-4.5V: 69.2 (#175), MiMo-V2.6-Flash: 76.8 (#35)
| Benchmark | GLM-4.5V | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Instruction Following | 1311 | 1463 |
Long Context MiMo-V2.6-Flash leads
GLM-4.5V: 39.6 (#171), MiMo-V2.6-Flash: 44.8 (#57)
| Benchmark | GLM-4.5V | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Longer Query | 1304 | 1463 |
Writing & Preference MiMo-V2.6-Flash leads
GLM-4.5V: 52.5 (#170), MiMo-V2.6-Flash: 63.1 (#67)
| Benchmark | GLM-4.5V | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Text | 1333 | 1455 |
| LMArena Creative Writing | 1295 | 1400 |
| LMArena Multi-Turn | 1332 | 1451 |
Frequently asked questions
Is GLM-4.5V better than MiMo-V2.6-Flash?
MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 39.8 on the Noometry Index.
Which is cheaper, GLM-4.5V 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-4.5V lists at $0.60 and $1.80.
Is GLM-4.5V or MiMo-V2.6-Flash better for coding?
MiMo-V2.6-Flash scores higher on coding benchmarks: 53.4 versus 39.5 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.6-Flash does, with 1.05M tokens against 64K.
How many benchmarks do GLM-4.5V and MiMo-V2.6-Flash share?
14 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and MiMo-V2.6-Flash has 19.