GLM-4.6V-Flash vs Grok 4.1 Fast (Reasoning) vs Qwen3-VL Plus

Grok 4.1 Fast (Reasoning) is the better all-round choice, scoring 69/100 against GLM-4.6V-Flash (63) and Qwen3-VL Plus (58). It leads on context window. 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 (Reasoning) costs $0.20 input / $0.50 output per million tokens (median across 7 API providers); Qwen3-VL Plus costs $0.20 input / $1.60 output per million tokens (official Alibaba 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 (Reasoning) (1.1× as much) and $0.55 for Qwen3-VL Plus (2.1× as much).

There is no independent benchmark that covers all three models yet. GLM-4.6V-Flash has not been scored yet, Grok 4.1 Fast (Reasoning) has not been scored yet and Qwen3-VL Plus has not been scored yet.

There are no published SWE-bench Verified results for GLM-4.6V-Flash, Grok 4.1 Fast (Reasoning) and Qwen3-VL Plus 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 (Reasoning) has the largest context window at 2,000,000 tokens, against 262,144 for Qwen3-VL Plus and 128,000 for GLM-4.6V-Flash. Maximum output per response: GLM-4.6V-Flash up to 32,768, Grok 4.1 Fast (Reasoning) up to 30,000, Qwen3-VL Plus up to 32,768 tokens.

GLM-4.6V-Flash accepts text, images and video; Grok 4.1 Fast (Reasoning) accepts text and images; Qwen3-VL Plus accepts text and images. GLM-4.6V-Flash handles the widest range of inputs.

GLM-4.6V-Flash publishes its weights and can be self-hosted; Grok 4.1 Fast (Reasoning) and Qwen3-VL Plus is proprietary.

GLM-4.6V-Flash is the newest, released Dec 8, 2025. Grok 4.1 Fast (Reasoning) came out Nov 19, 2025; Qwen3-VL Plus came out Sep 23, 2025. Knowledge cutoff: Qwen3-VL Plus 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.