GLM-4.5-Air vs GLM-4.7 vs Codestral 25.08

It is close. Our weighted score puts them within a point (GLM-4.5-Air 48/100, Codestral 25.08 47/100, GLM-4.7 41/100), so choose by what matters most for your work: GLM-4.5-Air on price and GLM-4.7 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.

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); GLM-4.7 costs $0.60 input / $2.20 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 $0.45 for Codestral 25.08 (1.1× as much) and $1.00 for GLM-4.7 (2.4× as much).

There is no independent benchmark that covers all three models yet. GLM-4.5-Air has not been scored yet, GLM-4.7 has an ECI of 143.7 and Codestral 25.08 has not been scored yet.

There are no published SWE-bench Verified results for GLM-4.5-Air, GLM-4.7 and Codestral 25.08 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.

GLM-4.7 has the largest context window at 204,800 tokens, against 131,072 for GLM-4.5-Air and 128,000 for Codestral 25.08. Maximum output per response: GLM-4.5-Air up to 98,304, GLM-4.7 up to 131,072, Codestral 25.08 up to 8,192 tokens.

GLM-4.5-Air accepts text; GLM-4.7 accepts text; Codestral 25.08 accepts text. They handle the same number of input types.

GLM-4.5-Air and GLM-4.7 publishes its weights and can be self-hosted; Codestral 25.08 is proprietary.

GLM-4.7 is the newest, released Dec 22, 2025. Codestral 25.08 came out Jul 30, 2025; GLM-4.5-Air came out Jul 28, 2025. Knowledge cutoff: GLM-4.5-Air Apr 2025, GLM-4.7 Apr 2025.

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.