Codestral-22B-v0.1 vs GLM-4.5-Air
GLM-4.5-Air comes out ahead, 31 to 0 on our weighted score, and it is the cheaper option too.
Mistral AI
Codestral-22B-v0.1
0/100- ECI—
- Price—
- Context33K
- Our pick
Z.ai (Zhipu)
GLM-4.5-Air
31/100- ECI—
- Price$0.20 / $1.10
- Context131K
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Make it a three-way comparison.
GLM-4.5-Air is our pick
GLM-4.5-Air is the better all-round choice, scoring 31/100 against Codestral-22B-v0.1 (0). It leads on inputs & features and context window. The score weighs inputs & features 60%, context window 40%. 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 per 1M tokens (3:1 blend) · Codestral-22B-v0.1 unpriced
- Longest contextGLM-4.5-AirGLM-4.5-Air 131,072 · Codestral-22B-v0.1 32,768 tokens
- Widest inputsSame inputsCodestral-22B-v0.1: Text · GLM-4.5-Air: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Codestral-22B-v0.1 | GLM-4.5-Air |
|---|---|---|---|
| Inputs & features | 60% | 0 | 35 |
| Context window | 40% | 0 | 25 |
| Overall | 100% | 0/100 | 31/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | — | $0.20 |
| Output | — | $1.10 |
| Cached input | — | $0.03 |
| Blended (3:1) | — | $0.425 |
| Long-context rate | — | Same rate |
| Price source | — | Official Z.AI API |
| Limits | ||
| Context window | 32,768 tokens | 131,072 tokens (best) |
| Max output | 8,192 tokens | 98,304 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | Yes |
| Tool calling | No | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | OpenMistral AI Non-Production License | Open |
| API model ID | — | glm-4.5-air |
| API providers | — | 19 |
| Released | May 29, 2024 | 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.
Codestral-22B-v0.1—
GLM-4.5-Air$4.20
Which should you choose?
Which is better: Codestral-22B-v0.1 or GLM-4.5-Air?
GLM-4.5-Air is the better all-round choice, scoring 31/100 against Codestral-22B-v0.1 (0). It leads on inputs & features and context window. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Codestral-22B-v0.1 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). . 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 . Codestral-22B-v0.1 has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Codestral-22B-v0.1 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 Codestral-22B-v0.1 and GLM-4.5-Air yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Codestral-22B-v0.1 does not support tool calling, which most coding agents need.
Which has the bigger context window?
GLM-4.5-Air has the largest context window at 131,072 tokens, against 32,768 for Codestral-22B-v0.1. Maximum output per response: Codestral-22B-v0.1 up to 8,192, GLM-4.5-Air up to 98,304 tokens.
Which can read images, PDFs, audio or video?
Codestral-22B-v0.1 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 (Mistral AI Non-Production License), so you can self-host them.
Which is newer?
GLM-4.5-Air is the newest, released Jul 28, 2025. Codestral-22B-v0.1 came out May 29, 2024. 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 Nov 2, 2026.