Model comparison
GLM-4.7 vs MiniMax M1
GLM-4.7 is the stronger model overall, scoring 42.0 to 40.3 on the Noometry Index.
Last verified . 17 shared benchmarks.
MiniMaxSummary
- They share 17 benchmarks with published results for both. GLM-4.7 scores higher in 7 categories and MiniMax M1 in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.7 leads 47.0 to 36.4.
- 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-4.7 | MiniMax M1 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | MiniMax |
| Noometry Index | 42.0 | 40.3 |
| Released | 2025-12-22 | 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 | 36 | 18 |
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Category by category
Coding GLM-4.7 leads
GLM-4.7: 44.0 (#79), MiniMax M1: 39.9 (#153)
| Benchmark | GLM-4.7 | MiniMax M1 |
|---|---|---|
| LMArena Coding | 1454 | 1359 |
| LMArena WebDev | 1435 | — |
| SciCode | 45.1% | — |
| ALE-Bench | 399.48 | — |
Agentic & Tool Use Not comparable
GLM-4.7: 26.5 (#103), MiniMax M1: —
| Benchmark | GLM-4.7 | MiniMax M1 |
|---|---|---|
| Terminal-Bench | 33.4% | — |
| Vending-Bench 2 | 2,377 | — |
Reasoning MiniMax M1 leads
GLM-4.7: 24.3 (#164), MiniMax M1: 26.9 (#126)
| Benchmark | GLM-4.7 | MiniMax M1 |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1339 |
| SimpleBench | 47.7% | — |
| CritPt | 1.7% | — |
| Chess Puzzles | 6% | — |
| Epoch Capabilities Index | 143.51 | — |
Math GLM-4.7 leads
GLM-4.7: 38.6 (#135), MiniMax M1: 37.5 (#151)
| Benchmark | GLM-4.7 | MiniMax M1 |
|---|---|---|
| LMArena Math | 1423 | 1361 |
| OTIS Mock AIME 2024-2025 | 83.3% | — |
| ProofBench | 6% | — |
| FrontierMath (Feb 2025 set) | 2.4% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge GLM-4.7 leads
GLM-4.7: 47.0 (#80), MiniMax M1: 36.4 (#170)
| Benchmark | GLM-4.7 | MiniMax M1 |
|---|---|---|
| LMArena Expert | 1424 | 1317 |
| GPQA Diamond | 83.3% | — |
| SimpleQA Verified | 32.2% | — |
| Vectara Hallucination Rate | 11.7% | — |
Multilingual GLM-4.7 leads
GLM-4.7: 52.8 (#79), MiniMax M1: 45.8 (#163)
| Benchmark | GLM-4.7 | MiniMax M1 |
|---|---|---|
| LMArena Non-English | 1417 | 1319 |
| LMArena Chinese | 1495 | 1360 |
| LMArena French | 1432 | 1370 |
| LMArena German | 1424 | 1350 |
| LMArena Japanese | 1439 | 1217 |
| LMArena Korean | 1399 | 1266 |
| LMArena Russian | 1423 | 1329 |
| LMArena Spanish | 1434 | 1353 |
Instruction Following GLM-4.7 leads
GLM-4.7: 74.4 (#95), MiniMax M1: 69.3 (#174)
| Benchmark | GLM-4.7 | MiniMax M1 |
|---|---|---|
| LMArena Instruction Following | 1411 | 1312 |
Long Context GLM-4.7 leads
GLM-4.7: 42.8 (#116), MiniMax M1: 41.4 (#141)
| Benchmark | GLM-4.7 | MiniMax M1 |
|---|---|---|
| LMArena Longer Query | 1432 | 1326 |
| Fiction.LiveBench | — | 69.4% |
| CL-bench | 15.9% | — |
| CL-bench Life | 10.9% | — |
Writing & Preference GLM-4.7 leads
GLM-4.7: 60.9 (#93), MiniMax M1: 53.1 (#161)
| Benchmark | GLM-4.7 | MiniMax M1 |
|---|---|---|
| LMArena Text | 1435 | 1343 |
| LMArena Creative Writing | 1401 | 1298 |
| LMArena Multi-Turn | 1446 | 1335 |
| EQ-Bench Creative Writing | 1413 | — |
Frequently asked questions
Is GLM-4.7 better than MiniMax M1?
GLM-4.7 is the stronger model overall, scoring 42.0 to 40.3 on the Noometry Index.
Which is cheaper, GLM-4.7 or MiniMax M1?
MiniMax M1 is cheaper. It lists at $0.55 per million input tokens and $2.20 per million output tokens; GLM-4.7 lists at $0.60 and $2.20.
Is GLM-4.7 or MiniMax M1 better for coding?
GLM-4.7 scores higher on coding benchmarks: 44.0 versus 39.9 in the Noometry coding category.
Which has the bigger context window?
MiniMax M1 does, with 1M tokens against 205K.
How many benchmarks do GLM-4.7 and MiniMax M1 share?
17 benchmarks have published results for both models. GLM-4.7 has 36 scored results on Noometry and MiniMax M1 has 18.