Model comparison
GLM-4.5 vs MiniMax M1
GLM-4.5 is the stronger model overall, scoring 42.0 to 40.3 on the Noometry Index.
Last verified . 18 shared benchmarks.
MiniMaxSummary
- They share 18 benchmarks with published results for both. GLM-4.5 scores higher in 6 categories and MiniMax M1 in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GLM-4.5 leads 52.8 to 45.8.
- The biggest single-benchmark swing is Fiction.LiveBench: 58.3% for GLM-4.5 and 69.4% for MiniMax M1.
- Both cost about the same: $0.60 input and $2.20 output per million tokens.
- MiniMax M1 accepts more context: 1M tokens versus 131K.
Side by side
| GLM-4.5 | MiniMax M1 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | MiniMax |
| Noometry Index | 42.0 | 40.3 |
| Released | 2025-07-27 | 2025-06-13 |
| Weights | Open | Open |
| Context window | 131K | 1M |
| Max output | 98K | 40K |
| Input $ / M tokens | $0.60 | $0.55 |
| Output $ / M tokens | $2.20 | $2.20 |
| Results tracked | 27 | 18 |
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Category by category
Coding GLM-4.5 leads
GLM-4.5: 41.4 (#125), MiniMax M1: 39.9 (#153)
| Benchmark | GLM-4.5 | MiniMax M1 |
|---|---|---|
| LMArena Coding | 1434 | 1359 |
| SWE-bench Verified (bash only) | 54.2% | — |
| WeirdML | 40.6% | — |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |
Reasoning GLM-4.5 leads
GLM-4.5: 28.6 (#100), MiniMax M1: 26.9 (#126)
| Benchmark | GLM-4.5 | MiniMax M1 |
|---|---|---|
| LMArena Hard Prompts | 1429 | 1339 |
| Kagi LLM Benchmark | 57.9% | — |
Math GLM-4.5 leads
GLM-4.5: 39.0 (#116), MiniMax M1: 37.5 (#151)
| Benchmark | GLM-4.5 | MiniMax M1 |
|---|---|---|
| LMArena Math | 1427 | 1361 |
Knowledge Too close to call
GLM-4.5: 35.9 (#179), MiniMax M1: 36.4 (#170)
| Benchmark | GLM-4.5 | MiniMax M1 |
|---|---|---|
| LMArena Expert | 1433 | 1317 |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
Multilingual GLM-4.5 leads
GLM-4.5: 52.8 (#77), MiniMax M1: 45.8 (#163)
| Benchmark | GLM-4.5 | MiniMax M1 |
|---|---|---|
| LMArena Non-English | 1417 | 1319 |
| LMArena Chinese | 1465 | 1360 |
| LMArena French | 1418 | 1370 |
| LMArena German | 1407 | 1350 |
| LMArena Japanese | 1415 | 1217 |
| LMArena Korean | 1380 | 1266 |
| LMArena Russian | 1414 | 1329 |
| LMArena Spanish | 1454 | 1353 |
Instruction Following GLM-4.5 leads
GLM-4.5: 74.1 (#104), MiniMax M1: 69.3 (#174)
| Benchmark | GLM-4.5 | MiniMax M1 |
|---|---|---|
| LMArena Instruction Following | 1404 | 1312 |
Long Context MiniMax M1 leads
GLM-4.5: 38.2 (#201), MiniMax M1: 41.4 (#141)
| Benchmark | GLM-4.5 | MiniMax M1 |
|---|---|---|
| Fiction.LiveBench | 58.3% | 69.4% |
| LMArena Longer Query | 1412 | 1326 |
Writing & Preference GLM-4.5 leads
GLM-4.5: 57.5 (#127), MiniMax M1: 53.1 (#161)
| Benchmark | GLM-4.5 | MiniMax M1 |
|---|---|---|
| LMArena Text | 1430 | 1343 |
| LMArena Creative Writing | 1395 | 1298 |
| LMArena Multi-Turn | 1415 | 1335 |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |
Frequently asked questions
Is GLM-4.5 better than MiniMax M1?
GLM-4.5 is the stronger model overall, scoring 42.0 to 40.3 on the Noometry Index.
Which is cheaper, GLM-4.5 or MiniMax M1?
MiniMax M1 is cheaper. It lists at $0.55 per million input tokens and $2.20 per million output tokens; GLM-4.5 lists at $0.60 and $2.20.
Is GLM-4.5 or MiniMax M1 better for coding?
GLM-4.5 scores higher on coding benchmarks: 41.4 versus 39.9 in the Noometry coding category.
Which has the bigger context window?
MiniMax M1 does, with 1M tokens against 131K.
How many benchmarks do GLM-4.5 and MiniMax M1 share?
18 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and MiniMax M1 has 18.