Model comparison
GLM-4.5-Air vs MiniMax-M1 (M1-40k / M1-80k)
- Input
- $0.20
- Output
- $1.10
- Context
- 128K
- Released
- 2025-07-28
- Input
- $0.40 / 1M tokens (0-200k context); $1.30 / 1M tokens (200k-1M context)
- Output
- $2.20 / 1M tokens
- Context
- 1M
- Released
- 2025-06-16
GLM-4.5-Air scores higher on 5 of the 6 benchmarks both models report (the other leads on 1); GLM-4.5-Air is cheaper on input tokens ($0.2 vs $0.4 per 1M, 2×); MiniMax-M1 (M1-40k / M1-80k) has the larger context window (1M vs 128K).
Specs and pricing side by side
| Spec | GLM-4.5-Air | MiniMax-M1 (M1-40k / M1-80k) |
|---|---|---|
| Maker | Z.ai (Zhipu / GLM) | MiniMax |
| Released | 2025-07-28 | 2025-06-16 |
| Context window | 128K | 1M |
| Max output | 96K | 80k tokens (M1-80k); 40k tokens (M1-40k) |
| Input price | $0.20 | $0.40 / 1M tokens (0-200k context); $1.30 / 1M tokens (200k-1M context) |
| Output price | $1.10 | $2.20 / 1M tokens |
| Parameters | 106B total · 12B active | 456B total / 45.9B active (MoE, 32 experts) |
| License | MIT | Apache 2.0 |
| Weights | Open weights | Open weightssame |
| Modalities | Text | Textsame |
| Knowledge cutoff | Not disclosed | June 2024 |
Benchmarks both models report
| Benchmark | GLM-4.5-Air | MiniMax-M1 (M1-40k / M1-80k) |
|---|---|---|
| MMLU-Pro | 81.4% | 81.1% |
| AIME 2024 | 89.4% | 86% |
| GPQA Diamond | 71.72% | 70% |
| LiveCodeBench | 70.7% | 65% |
| SWE-bench Verified | 57.6% | 56% |
| TAU-bench | 60.8% | 62% |
Scores are as published by each maker or its cited source; harness, reasoning effort and date can differ between rows, so treat small gaps as ties. Sources are listed on each model page.
Which one should you pick?
Pick GLM-4.5-Air if…
- You care about MMLU-Pro, AIME 2024, GPQA Diamond (it scores higher on 5 shared benchmarks).
- Cost matters: input tokens cost 2× less ($0.2 vs $0.4 per 1M).
- Your use case is: agentic coding assistants and autonomous coding agents that call tools over long horizons.
Pick MiniMax-M1 (M1-40k / M1-80k) if…
- You care about TAU-bench (it scores higher on 1 shared benchmark).
- You need the longer context (1M vs 128K).
- Your use case is: long-document and whole-codebase analysis that needs hundreds of thousands of tokens of context.
FAQ
Which is better, GLM-4.5-Air or MiniMax-M1 (M1-40k / M1-80k)?
GLM-4.5-Air scores higher on 5 of the 6 benchmarks both models report (the other leads on 1); GLM-4.5-Air is cheaper on input tokens ($0.2 vs $0.4 per 1M, 2×); MiniMax-M1 (M1-40k / M1-80k) has the larger context window (1M vs 128K). The better pick depends on whether you value benchmark scores, price per token, context length or openness for your workload.
How much cheaper is GLM-4.5-Air?
GLM-4.5-Air: $0.20 input, $1.10 output. MiniMax-M1 (M1-40k / M1-80k): $0.40 / 1M tokens (0-200k context); $1.30 / 1M tokens (200k-1M context) input, $2.20 / 1M tokens output (list API prices as published by each maker).
What are the context windows of GLM-4.5-Air and MiniMax-M1 (M1-40k / M1-80k)?
GLM-4.5-Air offers 128K with up to 96K output; MiniMax-M1 (M1-40k / M1-80k) offers 1M with up to 80k tokens (M1-80k); 40k tokens (M1-40k) output.
Is GLM-4.5-Air newer than MiniMax-M1 (M1-40k / M1-80k)?
GLM-4.5-Air was released 2025-07-28; MiniMax-M1 (M1-40k / M1-80k) was released 2025-06-16.