ERNIE 4.5 300B A47B vs GLM-4.5-Air 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, ERNIE 4.5 300B A47B 43/100), so choose by what matters most for your work: GLM-4.5-Air on price. 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); ERNIE 4.5 300B A47B costs $0.28 input / $1.10 output per million tokens (median across 1 API provider). 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 $0.485 for ERNIE 4.5 300B A47B (1.1× as much).

There is no independent benchmark that covers all three models yet. ERNIE 4.5 300B A47B has not been scored yet, GLM-4.5-Air has not been scored yet and Codestral 25.08 has not been scored yet.

There are no published SWE-bench Verified results for ERNIE 4.5 300B A47B, GLM-4.5-Air 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.

ERNIE 4.5 300B A47B and GLM-4.5-Air have the largest context windows (131,072 and 131,072 tokens), against 128,000 for Codestral 25.08. Maximum output per response: ERNIE 4.5 300B A47B up to 12,000, GLM-4.5-Air up to 98,304, Codestral 25.08 up to 8,192 tokens.

ERNIE 4.5 300B A47B accepts text; GLM-4.5-Air accepts text; Codestral 25.08 accepts text. They handle the same number of input types.

ERNIE 4.5 300B A47B and GLM-4.5-Air publishes its weights (Apache-2.0) and can be self-hosted; Codestral 25.08 is proprietary.

Codestral 25.08 is the newest, released Jul 30, 2025. GLM-4.5-Air came out Jul 28, 2025; ERNIE 4.5 300B A47B came out Jun 30, 2025. Knowledge cutoff: GLM-4.5-Air 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.