Grok 4.1 Fast vs GLM-4.7 vs GLM-4.6V-Flash

Grok 4.1 Fast is the better all-round choice, scoring 66/100 against GLM-4.6V-Flash (63) and GLM-4.7 (41). It leads on context window. GLM-4.6V-Flash wins on inputs & features. 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-4.6V-Flash is cheaper at $0.161 input / $0.559 output per million tokens (median across 2 API providers; free on Z.AI). Grok 4.1 Fast costs $0.20 input / $0.50 output per million tokens (median across 6 API providers); 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 $0.261 per million tokens for GLM-4.6V-Flash versus $0.275 for Grok 4.1 Fast (1.1× as much) and $1.00 for GLM-4.7 (3.8× as much).

There is no independent benchmark that covers all three models yet. Grok 4.1 Fast has not been scored yet, GLM-4.7 has an ECI of 143.7 and GLM-4.6V-Flash has not been scored yet.

There are no published SWE-bench Verified results for Grok 4.1 Fast, GLM-4.7 and GLM-4.6V-Flash 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.

Grok 4.1 Fast has the largest context window at 2,000,000 tokens, against 204,800 for GLM-4.7 and 128,000 for GLM-4.6V-Flash. Maximum output per response: Grok 4.1 Fast up to 30,000, GLM-4.7 up to 131,072, GLM-4.6V-Flash up to 32,768 tokens.

Grok 4.1 Fast accepts text and images; GLM-4.7 accepts text; GLM-4.6V-Flash accepts text, images and video. GLM-4.6V-Flash handles the widest range of inputs.

GLM-4.7 and GLM-4.6V-Flash publishes its weights and can be self-hosted; Grok 4.1 Fast is proprietary.

GLM-4.7 is the newest, released Dec 22, 2025. GLM-4.6V-Flash came out Dec 8, 2025; Grok 4.1 Fast came out Nov 19, 2025. Knowledge cutoff: 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.