Model comparison
GLM-5 vs MiniMax M1
GLM-5 is the stronger model overall, scoring 45.9 to 39.7 on the Noometry Index. MiniMax M1 costs 1.8× less per token, which makes it the better buy when GLM-5's lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
MiniMaxSummary
- They share 17 benchmarks with published results for both. GLM-5 scores higher in 8 categories and MiniMax M1 in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-5 leads 52.2 to 35.7.
- MiniMax M1 is cheaper at $0.40 / $2.20 per million input/output tokens, against $1 / $3.20 for GLM-5.
- MiniMax M1 accepts more context: 1M tokens versus 205K.
Side by side
| GLM-5 | MiniMax M1 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | MiniMax |
| Noometry Index | 45.9 | 39.7 |
| Released | 2026-02-11 | 2025-06-13 |
| Weights | Open | Open |
| Context window | 205K | 1M |
| Max output | 131K | 40K |
| Input $ / M tokens | $1 | $0.40 |
| Output $ / M tokens | $3.20 | $2.20 |
| Results tracked | 45 | 18 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GLM-5 leads
GLM-5: 49.0 (#47), MiniMax M1: 39.2 (#149)
| Benchmark | GLM-5 | MiniMax M1 |
|---|---|---|
| LMArena Coding | 1461 | 1359 |
| SWE-bench Verified | 72.1% | — |
| SWE-bench Verified (bash only) | 72.8% | — |
| LMArena WebDev | 1434 | — |
| SWE-bench Multilingual | 69.7% | — |
| WeirdML | 48.2% | — |
| ALE-Bench | 765.62 | — |
Agentic & Tool Use Not comparable
GLM-5: 30.9 (#65), MiniMax M1: —
| Benchmark | GLM-5 | MiniMax M1 |
|---|---|---|
| Terminal-Bench | 52.4% | — |
| τ²-bench Airline | 82.5% | — |
| τ²-bench Banking | 9.8% | — |
| τ²-bench Retail | 73.7% | — |
| τ²-bench Telecom | 86.8% | — |
| Vending-Bench 2 | 4,432 | — |
Reasoning GLM-5 leads
GLM-5: 27.6 (#100), MiniMax M1: 25.8 (#125)
| Benchmark | GLM-5 | MiniMax M1 |
|---|---|---|
| LMArena Hard Prompts | 1451 | 1340 |
| ARC-AGI-2 | 4.9% | — |
| SimpleBench | 53.2% | — |
| Kagi LLM Benchmark | 75% | — |
| NYT Connections (extended) | 74.8% | — |
| ARC-AGI-1 | 44.7% | — |
| Chess Puzzles | 10% | — |
| Epoch Capabilities Index | 145.84 | — |
| ForecastBench | 61 | — |
Math GLM-5 leads
GLM-5: 44.8 (#66), MiniMax M1: 34.8 (#152)
| Benchmark | GLM-5 | MiniMax M1 |
|---|---|---|
| LMArena Math | 1440 | 1360 |
| MathArena Final-Answer Competitions | 65.7% | — |
| OTIS Mock AIME 2024-2025 | 80% | — |
| FrontierMath (Feb 2025 set) | 16.4% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge GLM-5 leads
GLM-5: 52.2 (#59), MiniMax M1: 35.7 (#168)
| Benchmark | GLM-5 | MiniMax M1 |
|---|---|---|
| LMArena Expert | 1454 | 1316 |
| GPQA Diamond | 87.8% | — |
| Vectara Hallucination Rate | 10.1% | — |
Multilingual GLM-5 leads
GLM-5: 53.9 (#57), MiniMax M1: 46.0 (#157)
| Benchmark | GLM-5 | MiniMax M1 |
|---|---|---|
| LMArena Non-English | 1430 | 1320 |
| LMArena Chinese | 1511 | 1361 |
| LMArena French | 1455 | 1369 |
| LMArena German | 1445 | 1350 |
| LMArena Japanese | 1416 | 1220 |
| LMArena Korean | 1421 | 1263 |
| LMArena Russian | 1436 | 1330 |
| LMArena Spanish | 1452 | 1354 |
Instruction Following GLM-5 leads
GLM-5: 75.4 (#64), MiniMax M1: 69.5 (#169)
| Benchmark | GLM-5 | MiniMax M1 |
|---|---|---|
| LMArena Instruction Following | 1427 | 1312 |
Long Context GLM-5 leads
GLM-5: 44.6 (#58), MiniMax M1: 41.4 (#136)
| Benchmark | GLM-5 | MiniMax M1 |
|---|---|---|
| LMArena Longer Query | 1446 | 1326 |
| Fiction.LiveBench | — | 69.4% |
| CL-bench | 18.7% | — |
Writing & Preference GLM-5 leads
GLM-5: 66.2 (#38), MiniMax M1: 53.3 (#155)
| Benchmark | GLM-5 | MiniMax M1 |
|---|---|---|
| LMArena Text | 1446 | 1343 |
| LMArena Creative Writing | 1438 | 1298 |
| LMArena Multi-Turn | 1456 | 1335 |
| EQ-Bench Creative Writing | 1601 | — |
Frequently asked questions
Is GLM-5 better than MiniMax M1?
GLM-5 is the stronger model overall, scoring 45.9 to 39.7 on the Noometry Index. MiniMax M1 costs 1.8× less per token, which makes it the better buy when GLM-5's lead doesn't matter for your workload.
Which is cheaper, GLM-5 or MiniMax M1?
MiniMax M1 is cheaper. It lists at $0.40 per million input tokens and $2.20 per million output tokens; GLM-5 lists at $1 and $3.20.
Is GLM-5 or MiniMax M1 better for coding?
GLM-5 scores higher on coding benchmarks: 49.0 versus 39.2 in the Noometry coding category.
Which has the bigger context window?
MiniMax M1 does, with 1M tokens against 205K.
How many benchmarks do GLM-5 and MiniMax M1 share?
17 benchmarks have published results for both models. GLM-5 has 45 scored results on Noometry and MiniMax M1 has 18.