Codestral 25.08 vs Codestral-22B-v0.1 vs GLM-4.5-Air
Too close to call on our weighted score (GLM-4.5-Air 31, Codestral 25.08 31, Codestral-22B-v0.1 0). The right pick depends on what you value most.
Mistral AICodestral 25.08
31/100- ECI—
- Price$0.30 / $0.90
- Context128K
- Mistral AI
Codestral-22B-v0.1
0/100- ECI—
- Price—
- Context33K
Z.ai (Zhipu)GLM-4.5-Air
31/100- ECI—
- Price$0.20 / $1.10
- Context131K
Too close to call
It is close. Our weighted score puts them within a point (GLM-4.5-Air 31/100, Codestral 25.08 31/100, Codestral-22B-v0.1 0/100), so choose by what matters most for your work: GLM-4.5-Air on price and GLM-4.5-Air for long inputs. 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 · Codestral 25.08 $0.45 per 1M tokens (3:1 blend) · Codestral-22B-v0.1 unpriced
- Longest contextGLM-4.5-AirGLM-4.5-Air 131,072 · Codestral 25.08 128,000 · Codestral-22B-v0.1 32,768 tokens
- Widest inputsSame inputsCodestral 25.08: Text · Codestral-22B-v0.1: Text · GLM-4.5-Air: Text
- Self-hostingCodestral-22B-v0.1 and GLM-4.5-AirPublishes downloadable weights (Mistral AI Non-Production License)
| Measure | Weight | Codestral 25.08 | Codestral-22B-v0.1 | GLM-4.5-Air |
|---|---|---|---|---|
| Inputs & features | 60% | 35 | 0 | 35 |
| Context window | 40% | 24 | 0 | 25 |
| Overall | 100% | 31/100 | 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 | Codestral 25.08Mistral AI | Codestral-22B-v0.1Mistral AI | GLM-4.5-AirZ.ai (Zhipu) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.30 | — | $0.20 (best) |
| Output | $0.90 (best) | — | $1.10 |
| Cached input | $0.03 | — | $0.03 |
| Blended (3:1) | $0.45 | — | $0.425 (best) |
| Long-context rate | Same rate | — | Same rate |
| Price source | Official Mistral API | — | Official Z.AI API |
| Limits | |||
| Context window | 128,000 tokens | 32,768 tokens | 131,072 tokens (best) |
| Max output | 8,192 tokens | 8,192 tokens | 98,304 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | Yes |
| Tool calling | Yes | No | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Proprietary | OpenMistral AI Non-Production License | Open |
| API model ID | codestral-2508 | — | glm-4.5-air |
| API providers | 11 | — | 19 (best) |
| Released | Jul 30, 2025 | 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 25.08$4.80
- Codestral-22B-v0.1—
- GLM-4.5-Air$4.20
Which should you choose?
Which is better: Codestral 25.08, Codestral-22B-v0.1 or GLM-4.5-Air?
It is close. Our weighted score puts them within a point (GLM-4.5-Air 31/100, Codestral 25.08 31/100, Codestral-22B-v0.1 0/100), so choose by what matters most for your work: GLM-4.5-Air on price and GLM-4.5-Air for long inputs. 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 25.08, 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). Codestral 25.08 costs $0.30 input / $0.90 output per million tokens (official Mistral 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 $0.45 for Codestral 25.08 (1.1× as much). Codestral-22B-v0.1 has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Codestral 25.08 has not been scored 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 25.08, 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 128,000 for Codestral 25.08 and 32,768 for Codestral-22B-v0.1. Maximum output per response: Codestral 25.08 up to 8,192, 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 25.08 accepts text; 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?
Codestral-22B-v0.1 and GLM-4.5-Air publishes its weights (Mistral AI Non-Production License) and can be self-hosted; Codestral 25.08 is proprietary.
Which is newer?
Codestral 25.08 is the newest, released Jul 30, 2025. GLM-4.5-Air came out 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.
