Model comparison
GLM-4.6V vs MiniMax-M3
MiniMax-M3 is the stronger model overall, scoring 43.8 to 41.3 on the Noometry Index.
Last verified . 12 shared benchmarks.
MiniMaxSummary
- They share 12 benchmarks with published results for both. GLM-4.6V scores higher in 0 categories and MiniMax-M3 in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where MiniMax-M3 leads 58.4 to 38.0.
- GLM-4.6V is cheaper at $0.30 / $0.90 per million input/output tokens, against $0.30 / $1.20 for MiniMax-M3.
- MiniMax-M3 accepts more context: 1M tokens versus 128K.
Side by side
| GLM-4.6V | MiniMax-M3 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | MiniMax |
| Noometry Index | 41.3 | 43.8 |
| Released | 2025-12-08 | 2026-06-01 |
| Weights | Open | Open |
| Context window | 128K | 1M |
| Max output | 33K | 512K |
| Input $ / M tokens | $0.30 | $0.30 |
| Output $ / M tokens | $0.90 | $1.20 |
| Results tracked | 12 | 41 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Too close to call
GLM-4.6V: 40.9 (#128), MiniMax-M3: 41.8 (#118)
| Benchmark | GLM-4.6V | MiniMax-M3 |
|---|---|---|
| LMArena Coding | 1390 | 1469 |
| FrontierCode | — | 14.7% |
| LMArena WebDev | — | 1482 |
| SciCode | — | 47.1% |
| ALE-Bench | — | 640.02 |
Agentic & Tool Use Not comparable
GLM-4.6V: —, MiniMax-M3: 22.6 (#130)
| Benchmark | GLM-4.6V | MiniMax-M3 |
|---|---|---|
| APEX-Agents | — | 37.7% |
| OSWorld 2.0 | — | 4.6% |
| GBAEval | — | 0.9% |
| Vending-Bench 2 | — | 2,158 |
Reasoning MiniMax-M3 leads
GLM-4.6V: 27.6 (#115), MiniMax-M3: 30.1 (#87)
| Benchmark | GLM-4.6V | MiniMax-M3 |
|---|---|---|
| LMArena Hard Prompts | 1368 | 1447 |
| SimpleBench | — | 45.8% |
| NYT Connections (extended) | — | 65.1% |
| CritPt | — | 3.7% |
| Chess Puzzles | — | 14% |
| Mystery Game Puzzles | — | 8% |
| DTBench | — | 78.9% |
| LMCA | — | 33.7% |
| Surface Evolver Bench | — | 55% |
| Epoch Capabilities Index | — | 146.95 |
| ForecastBench | — | 61.4 |
Math Not comparable
GLM-4.6V: —, MiniMax-M3: 40.0 (#95)
| Benchmark | GLM-4.6V | MiniMax-M3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 71.1% |
| ProofBench | — | 18% |
| LMArena Math | — | 1429 |
Knowledge MiniMax-M3 leads
GLM-4.6V: 38.0 (#149), MiniMax-M3: 58.4 (#35)
| Benchmark | GLM-4.6V | MiniMax-M3 |
|---|---|---|
| LMArena Expert | 1371 | 1461 |
| GPQA Diamond | — | 90.9% |
Multimodal MiniMax-M3 leads
GLM-4.6V: 34.8 (#90), MiniMax-M3: 40.2 (#51)
| Benchmark | GLM-4.6V | MiniMax-M3 |
|---|---|---|
| LMArena Vision | 1164 | 1253 |
| LMArena Document | — | 1435 |
Multilingual MiniMax-M3 leads
GLM-4.6V: 48.6 (#141), MiniMax-M3: 53.0 (#75)
| Benchmark | GLM-4.6V | MiniMax-M3 |
|---|---|---|
| LMArena Non-English | 1359 | 1420 |
| LMArena Chinese | 1425 | 1463 |
| LMArena Russian | 1340 | 1428 |
| LMArena French | — | 1447 |
| LMArena German | — | 1426 |
| LMArena Japanese | — | 1381 |
| LMArena Korean | — | 1372 |
| LMArena Spanish | — | 1432 |
Instruction Following MiniMax-M3 leads
GLM-4.6V: 71.4 (#151), MiniMax-M3: 75.5 (#62)
| Benchmark | GLM-4.6V | MiniMax-M3 |
|---|---|---|
| LMArena Instruction Following | 1352 | 1433 |
Long Context MiniMax-M3 leads
GLM-4.6V: 41.3 (#143), MiniMax-M3: 44.2 (#72)
| Benchmark | GLM-4.6V | MiniMax-M3 |
|---|---|---|
| LMArena Longer Query | 1358 | 1445 |
Writing & Preference MiniMax-M3 leads
GLM-4.6V: 56.6 (#137), MiniMax-M3: 62.1 (#83)
| Benchmark | GLM-4.6V | MiniMax-M3 |
|---|---|---|
| LMArena Text | 1377 | 1433 |
| LMArena Creative Writing | 1347 | 1404 |
| LMArena Multi-Turn | 1360 | 1442 |
| EQ-Bench 4 | — | 1150 |
Frequently asked questions
Is GLM-4.6V better than MiniMax-M3?
MiniMax-M3 is the stronger model overall, scoring 43.8 to 41.3 on the Noometry Index.
Which is cheaper, GLM-4.6V or MiniMax-M3?
GLM-4.6V is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; MiniMax-M3 lists at $0.30 and $1.20.
Is GLM-4.6V or MiniMax-M3 better for coding?
They score almost the same on coding (40.9 vs 41.8); test both on your own repository before choosing.
Which has the bigger context window?
MiniMax-M3 does, with 1M tokens against 128K.
How many benchmarks do GLM-4.6V and MiniMax-M3 share?
12 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and MiniMax-M3 has 41.