Model comparison
GLM-4.6 vs MiniMax M1
GLM-4.6 is the stronger model overall, scoring 41.4 to 40.3 on the Noometry Index.
Last verified . 17 shared benchmarks.
MiniMaxSummary
- They share 17 benchmarks with published results for both. GLM-4.6 scores higher in 7 categories and MiniMax M1 in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.6 leads 61.1 to 53.1.
- Both cost about the same: $0.60 input and $2.20 output per million tokens.
- MiniMax M1 accepts more context: 1M tokens versus 205K.
Side by side
| GLM-4.6 | MiniMax M1 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | MiniMax |
| Noometry Index | 41.4 | 40.3 |
| Released | 2025-09-30 | 2025-06-13 |
| Weights | Open | Open |
| Context window | 205K | 1M |
| Max output | 131K | 40K |
| Input $ / M tokens | $0.60 | $0.55 |
| Output $ / M tokens | $2.20 | $2.20 |
| Results tracked | 29 | 18 |
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Category by category
Coding Too close to call
GLM-4.6: 40.1 (#148), MiniMax M1: 39.9 (#153)
| Benchmark | GLM-4.6 | MiniMax M1 |
|---|---|---|
| LMArena Coding | 1449 | 1359 |
| SWE-bench Verified (bash only) | 55.4% | — |
| LMArena WebDev | 1340 | — |
| SciCode | 38.4% | — |
| ALE-Bench | 340.82 | — |
Agentic & Tool Use Not comparable
GLM-4.6: 32.3 (#66), MiniMax M1: —
| Benchmark | GLM-4.6 | MiniMax M1 |
|---|---|---|
| Terminal-Bench | 24.5% | — |
| Berkeley Function Calling Leaderboard | 72.4% | — |
Reasoning MiniMax M1 leads
GLM-4.6: 23.7 (#172), MiniMax M1: 26.9 (#126)
| Benchmark | GLM-4.6 | MiniMax M1 |
|---|---|---|
| LMArena Hard Prompts | 1440 | 1339 |
| Kagi LLM Benchmark | 47.4% | — |
| CritPt | 1.1% | — |
Math GLM-4.6 leads
GLM-4.6: 39.1 (#111), MiniMax M1: 37.5 (#151)
| Benchmark | GLM-4.6 | MiniMax M1 |
|---|---|---|
| LMArena Math | 1432 | 1361 |
| FrontierMath (Feb 2025 set) | 3.8% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge GLM-4.6 leads
GLM-4.6: 40.2 (#124), MiniMax M1: 36.4 (#170)
| Benchmark | GLM-4.6 | MiniMax M1 |
|---|---|---|
| LMArena Expert | 1431 | 1317 |
| Vectara Hallucination Rate | 9.5% | — |
Multilingual GLM-4.6 leads
GLM-4.6: 53.5 (#66), MiniMax M1: 45.8 (#163)
| Benchmark | GLM-4.6 | MiniMax M1 |
|---|---|---|
| LMArena Non-English | 1426 | 1319 |
| LMArena Chinese | 1499 | 1360 |
| LMArena French | 1459 | 1370 |
| LMArena German | 1447 | 1350 |
| LMArena Japanese | 1393 | 1217 |
| LMArena Korean | 1400 | 1266 |
| LMArena Russian | 1419 | 1329 |
| LMArena Spanish | 1436 | 1353 |
Instruction Following GLM-4.6 leads
GLM-4.6: 74.3 (#98), MiniMax M1: 69.3 (#174)
| Benchmark | GLM-4.6 | MiniMax M1 |
|---|---|---|
| LMArena Instruction Following | 1410 | 1312 |
Long Context GLM-4.6 leads
GLM-4.6: 43.4 (#94), MiniMax M1: 41.4 (#141)
| Benchmark | GLM-4.6 | MiniMax M1 |
|---|---|---|
| LMArena Longer Query | 1422 | 1326 |
| Fiction.LiveBench | — | 69.4% |
Writing & Preference GLM-4.6 leads
GLM-4.6: 61.1 (#90), MiniMax M1: 53.1 (#161)
| Benchmark | GLM-4.6 | MiniMax M1 |
|---|---|---|
| LMArena Text | 1440 | 1343 |
| LMArena Creative Writing | 1411 | 1298 |
| LMArena Multi-Turn | 1427 | 1335 |
| EQ-Bench Creative Writing | 1411 | — |
Frequently asked questions
Is GLM-4.6 better than MiniMax M1?
GLM-4.6 is the stronger model overall, scoring 41.4 to 40.3 on the Noometry Index.
Which is cheaper, GLM-4.6 or MiniMax M1?
MiniMax M1 is cheaper. It lists at $0.55 per million input tokens and $2.20 per million output tokens; GLM-4.6 lists at $0.60 and $2.20.
Is GLM-4.6 or MiniMax M1 better for coding?
They score almost the same on coding (40.1 vs 39.9); test both on your own repository before choosing.
Which has the bigger context window?
MiniMax M1 does, with 1M tokens against 205K.
How many benchmarks do GLM-4.6 and MiniMax M1 share?
17 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and MiniMax M1 has 18.