Model comparison
GLM-5.1 vs MiniMax-M2.7
GLM-5.1 is the stronger model overall, scoring 47.8 to 37.7 on the Noometry Index. MiniMax-M2.7 costs 4.1× less per token, which makes it the better buy when GLM-5.1's lead doesn't matter for your workload.
Last verified . 28 shared benchmarks.
MiniMaxSummary
- They share 28 benchmarks with published results for both. GLM-5.1 scores higher in 8 categories and MiniMax-M2.7 in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-5.1 leads 49.7 to 25.9.
- The biggest single-benchmark swing is NYT Connections (extended): 77.7% for GLM-5.1 and 24.7% for MiniMax-M2.7.
- MiniMax-M2.7 is cheaper at $0.30 / $1.20 per million input/output tokens, against $1.40 / $4.40 for GLM-5.1.
- MiniMax-M2.7 accepts more context: 205K tokens versus 200K.
Side by side
| GLM-5.1 | MiniMax-M2.7 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | MiniMax |
| Noometry Index | 47.8 | 37.7 |
| Released | 2026-04-07 | 2026-03-18 |
| Weights | Open | Open |
| Context window | 200K | 205K |
| Max output | 131K | 131K |
| Input $ / M tokens | $1.40 | $0.30 |
| Output $ / M tokens | $4.40 | $1.20 |
| Results tracked | 41 | 30 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GLM-5.1 leads
GLM-5.1: 48.7 (#55), MiniMax-M2.7: 41.8 (#120)
| Benchmark | GLM-5.1 | MiniMax-M2.7 |
|---|---|---|
| LMArena WebDev | 1508 | 1398 |
| SciCode | 43.8% | 47% |
| WeirdML | 57.1% | 37% |
| LMArena Coding | 1485 | 1454 |
| ALE-Bench | 887.1 | 599.25 |
| SWE-bench Verified | 74.2% | — |
Agentic & Tool Use Too close to call
GLM-5.1: 24.9 (#113), MiniMax-M2.7: 25.1 (#111)
| Benchmark | GLM-5.1 | MiniMax-M2.7 |
|---|---|---|
| ExploitBench | 18.1% | 13.3% |
| GBAEval | 0% | 0% |
| Terminal-Bench | — | 45.1% |
| APEX-Agents | 40.9% | — |
| Vending-Bench 2 | 5,634 | — |
Reasoning GLM-5.1 leads
GLM-5.1: 39.1 (#60), MiniMax-M2.7: 19.7 (#253)
| Benchmark | GLM-5.1 | MiniMax-M2.7 |
|---|---|---|
| NYT Connections (extended) | 77.7% | 24.7% |
| CritPt | 4.6% | 0.6% |
| Thematic Generalization | 69.8% | 39.3% |
| LMArena Hard Prompts | 1472 | 1422 |
| Epoch Capabilities Index | 149.84 | 145.85 |
| SimpleBench | 55.1% | — |
| Chess Puzzles | 19% | — |
Math GLM-5.1 leads
GLM-5.1: 49.7 (#60), MiniMax-M2.7: 25.9 (#263)
| Benchmark | GLM-5.1 | MiniMax-M2.7 |
|---|---|---|
| ProofBench | 22.2% | 3% |
| LMArena Math | 1473 | 1420 |
| FrontierMath (Tiers 1-3) | 36.8% | — |
| MathArena Final-Answer Competitions | 67.1% | — |
| OTIS Mock AIME 2024-2025 | 93.3% | — |
| FrontierMath (Feb 2025 set) | 33.4% | — |
| FrontierMath Tier 4 (v1) | 12.5% | — |
Knowledge GLM-5.1 leads
GLM-5.1: 54.9 (#50), MiniMax-M2.7: 37.7 (#152)
| Benchmark | GLM-5.1 | MiniMax-M2.7 |
|---|---|---|
| LMArena Expert | 1476 | 1444 |
| GPQA Diamond | 89.9% | — |
| SimpleQA Verified | 34% | — |
| Vectara Hallucination Rate | — | 12.9% |
Multilingual GLM-5.1 leads
GLM-5.1: 55.0 (#36), MiniMax-M2.7: 50.3 (#123)
| Benchmark | GLM-5.1 | MiniMax-M2.7 |
|---|---|---|
| LMArena Non-English | 1447 | 1382 |
| LMArena Chinese | 1515 | 1441 |
| LMArena French | 1474 | 1421 |
| LMArena German | 1465 | 1398 |
| LMArena Japanese | 1434 | 1262 |
| LMArena Korean | 1418 | 1313 |
| LMArena Russian | 1454 | 1383 |
| LMArena Spanish | 1469 | 1403 |
Instruction Following GLM-5.1 leads
GLM-5.1: 76.3 (#42), MiniMax-M2.7: 74.1 (#103)
| Benchmark | GLM-5.1 | MiniMax-M2.7 |
|---|---|---|
| LMArena Instruction Following | 1451 | 1405 |
Long Context GLM-5.1 leads
GLM-5.1: 44.9 (#53), MiniMax-M2.7: 43.3 (#99)
| Benchmark | GLM-5.1 | MiniMax-M2.7 |
|---|---|---|
| LMArena Longer Query | 1466 | 1419 |
Writing & Preference GLM-5.1 leads
GLM-5.1: 66.9 (#31), MiniMax-M2.7: 58.9 (#112)
| Benchmark | GLM-5.1 | MiniMax-M2.7 |
|---|---|---|
| LMArena Text | 1461 | 1405 |
| LMArena Creative Writing | 1453 | 1354 |
| LMArena Multi-Turn | 1472 | 1412 |
| EQ-Bench Creative Writing | 1592 | — |
Frequently asked questions
Is GLM-5.1 better than MiniMax-M2.7?
GLM-5.1 is the stronger model overall, scoring 47.8 to 37.7 on the Noometry Index. MiniMax-M2.7 costs 4.1× less per token, which makes it the better buy when GLM-5.1's lead doesn't matter for your workload.
Which is cheaper, GLM-5.1 or MiniMax-M2.7?
MiniMax-M2.7 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; GLM-5.1 lists at $1.40 and $4.40.
Is GLM-5.1 or MiniMax-M2.7 better for coding?
GLM-5.1 scores higher on coding benchmarks: 48.7 versus 41.8 in the Noometry coding category.
Which has the bigger context window?
MiniMax-M2.7 does, with 205K tokens against 200K.
How many benchmarks do GLM-5.1 and MiniMax-M2.7 share?
28 benchmarks have published results for both models. GLM-5.1 has 41 scored results on Noometry and MiniMax-M2.7 has 30.