MiniMax-M2 vs GLM-4.5-Air
Too close to call on our weighted score (GLM-4.5-Air 49, MiniMax-M2 48). The right pick depends on what you value most.
MiniMaxMiniMax-M2
48/100- ECI—
- Price$0.30 / $1.20
- Context205K
Z.ai (Zhipu)GLM-4.5-Air
49/100- ECI—
- Price$0.20 / $1.10
- Context131K
Add a model
Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within a point (GLM-4.5-Air 49/100, MiniMax-M2 48/100), so choose by what matters most for your work: GLM-4.5-Air on price and MiniMax-M2 for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceGLM-4.5-AirGLM-4.5-Air $0.425 · MiniMax-M2 $0.525 per 1M tokens (3:1 blend)
- Longest contextMiniMax-M2MiniMax-M2 204,800 · GLM-4.5-Air 131,072 tokens
- Widest inputsSame inputsMiniMax-M2: Text · GLM-4.5-Air: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | MiniMax-M2 | GLM-4.5-Air |
|---|---|---|---|
| Price | 50% | 63 | 68 |
| Inputs & features | 30% | 35 | 35 |
| Context window | 20% | 32 | 24 |
| Overall | 100% | 48/100 | 49/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | MiniMax-M2MiniMax | GLM-4.5-AirZ.ai (Zhipu) |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.30 | $0.20 (best) |
| Output | $1.20 | $1.10 (best) |
| Cached input | — | $0.03 |
| Blended (3:1) | $0.525 | $0.425 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official MiniMax (minimax.io) API | Official Z.AI API |
| Limits | ||
| Context window | 204,800 tokens (best) | 131,072 tokens |
| Max output | 131,072 tokens (best) | 98,304 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Open |
| API model ID | MiniMax-M2 | glm-4.5-air |
| API providers | 13 | 13 |
| Released | Oct 27, 2025 | Jul 28, 2025 |
| Knowledge cutoff | — | Apr 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- MiniMax-M2$5.40
- GLM-4.5-Air$4.20
Which should you choose?
Which is better: MiniMax-M2 or GLM-4.5-Air?
It is close. Our weighted score puts them within a point (GLM-4.5-Air 49/100, MiniMax-M2 48/100), so choose by what matters most for your work: GLM-4.5-Air on price and MiniMax-M2 for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, MiniMax-M2 or GLM-4.5-Air?
GLM-4.5-Air is cheaper at $0.20 input / $1.10 output per million tokens (official Z.AI API price). MiniMax-M2 costs $0.30 input / $1.20 output per million tokens (official MiniMax (minimax.io) API price). At a typical mix of three input tokens to one output token, that is $0.425 per million tokens for GLM-4.5-Air versus $0.525 for MiniMax-M2 (1.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. MiniMax-M2 has not been scored yet and GLM-4.5-Air has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for MiniMax-M2 and GLM-4.5-Air yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
MiniMax-M2 has the largest context window at 204,800 tokens, against 131,072 for GLM-4.5-Air. Maximum output per response: MiniMax-M2 up to 131,072, GLM-4.5-Air up to 98,304 tokens.
Which can read images, PDFs, audio or video?
MiniMax-M2 accepts text; GLM-4.5-Air accepts text. They handle the same number of input types.
Are any of these open source?
Yes, both publish their weights, so you can self-host them.
Which is newer?
MiniMax-M2 is the newest, released Oct 27, 2025. GLM-4.5-Air came out Jul 28, 2025. Knowledge cutoff: GLM-4.5-Air Apr 2025.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.
