Model comparison
GLM-4.5 vs MiniMax-M2.5
GLM-4.5 is the stronger model overall, scoring 42.0 to 38.3 on the Noometry Index. MiniMax-M2.5 costs 1.9× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.
Last verified . 21 shared benchmarks.
MiniMaxSummary
- They share 21 benchmarks with published results for both. GLM-4.5 scores higher in 6 categories and MiniMax-M2.5 in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-4.5 leads 39.0 to 26.9.
- The biggest single-benchmark swing is SWE-bench Verified (bash only): 54.2% for GLM-4.5 and 75.8% for MiniMax-M2.5.
- MiniMax-M2.5 is cheaper at $0.30 / $1.20 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
- MiniMax-M2.5 accepts more context: 205K tokens versus 131K.
Side by side
| GLM-4.5 | MiniMax-M2.5 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | MiniMax |
| Noometry Index | 42.0 | 38.3 |
| Released | 2025-07-27 | 2026-02-12 |
| Weights | Open | Open |
| Context window | 131K | 205K |
| Max output | 98K | 131K |
| Input $ / M tokens | $0.60 | $0.30 |
| Output $ / M tokens | $2.20 | $1.20 |
| Results tracked | 27 | 33 |
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Category by category
Coding MiniMax-M2.5 leads
GLM-4.5: 41.4 (#125), MiniMax-M2.5: 48.1 (#58)
| Benchmark | GLM-4.5 | MiniMax-M2.5 |
|---|---|---|
| SWE-bench Verified (bash only) | 54.2% | 75.8% |
| LMArena Coding | 1434 | 1381 |
| ALE-Bench | 344.82 | 618.17 |
| LMArena WebDev | — | 1387 |
| SWE-bench Multilingual | — | 68.3% |
| WeirdML | 40.6% | — |
| AlgoTune | 1.52 | — |
Agentic & Tool Use Not comparable
GLM-4.5: —, MiniMax-M2.5: 30.4 (#77)
| Benchmark | GLM-4.5 | MiniMax-M2.5 |
|---|---|---|
| Terminal-Bench | — | 42.7% |
| Vending-Bench 2 | — | -23.16 |
Reasoning GLM-4.5 leads
GLM-4.5: 28.6 (#100), MiniMax-M2.5: 17.5 (#292)
| Benchmark | GLM-4.5 | MiniMax-M2.5 |
|---|---|---|
| Kagi LLM Benchmark | 57.9% | 55.2% |
| LMArena Hard Prompts | 1429 | 1372 |
| ARC-AGI-2 | — | 4.9% |
| NYT Connections (extended) | — | 16.8% |
| ARC-AGI-1 | — | 63.7% |
| Epoch Capabilities Index | — | 146.68 |
Math GLM-4.5 leads
GLM-4.5: 39.0 (#116), MiniMax-M2.5: 26.9 (#253)
| Benchmark | GLM-4.5 | MiniMax-M2.5 |
|---|---|---|
| LMArena Math | 1427 | 1378 |
| ProofBench | — | 4% |
Knowledge MiniMax-M2.5 leads
GLM-4.5: 35.9 (#179), MiniMax-M2.5: 39.2 (#135)
| Benchmark | GLM-4.5 | MiniMax-M2.5 |
|---|---|---|
| LMArena Expert | 1433 | 1379 |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
| Vectara Hallucination Rate | — | 9.1% |
Multilingual GLM-4.5 leads
GLM-4.5: 52.8 (#77), MiniMax-M2.5: 47.1 (#152)
| Benchmark | GLM-4.5 | MiniMax-M2.5 |
|---|---|---|
| LMArena Non-English | 1417 | 1338 |
| LMArena Chinese | 1465 | 1393 |
| LMArena French | 1418 | 1362 |
| LMArena German | 1407 | 1362 |
| LMArena Japanese | 1415 | 1171 |
| LMArena Korean | 1380 | 1232 |
| LMArena Russian | 1414 | 1358 |
| LMArena Spanish | 1454 | 1354 |
Instruction Following GLM-4.5 leads
GLM-4.5: 74.1 (#104), MiniMax-M2.5: 71.5 (#148)
| Benchmark | GLM-4.5 | MiniMax-M2.5 |
|---|---|---|
| LMArena Instruction Following | 1404 | 1353 |
Long Context Too close to call
GLM-4.5: 38.2 (#201), MiniMax-M2.5: 37.5 (#216)
| Benchmark | GLM-4.5 | MiniMax-M2.5 |
|---|---|---|
| LMArena Longer Query | 1412 | 1366 |
| Fiction.LiveBench | 58.3% | — |
| CL-bench | — | 11.4% |
| CL-bench Life | — | 6.3% |
Writing & Preference GLM-4.5 leads
GLM-4.5: 57.5 (#127), MiniMax-M2.5: 53.9 (#153)
| Benchmark | GLM-4.5 | MiniMax-M2.5 |
|---|---|---|
| LMArena Text | 1430 | 1359 |
| LMArena Creative Writing | 1395 | 1331 |
| EQ-Bench Creative Writing | 1343 | 1361 |
| LMArena Multi-Turn | 1415 | 1364 |
| Short-Story Creative Writing | 73.4% | — |
Frequently asked questions
Is GLM-4.5 better than MiniMax-M2.5?
GLM-4.5 is the stronger model overall, scoring 42.0 to 38.3 on the Noometry Index. MiniMax-M2.5 costs 1.9× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.
Which is cheaper, GLM-4.5 or MiniMax-M2.5?
MiniMax-M2.5 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; GLM-4.5 lists at $0.60 and $2.20.
Is GLM-4.5 or MiniMax-M2.5 better for coding?
MiniMax-M2.5 scores higher on coding benchmarks: 48.1 versus 41.4 in the Noometry coding category.
Which has the bigger context window?
MiniMax-M2.5 does, with 205K tokens against 131K.
How many benchmarks do GLM-4.5 and MiniMax-M2.5 share?
21 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and MiniMax-M2.5 has 33.