Qwen3-Next 80B-A3B Instruct vs Qwen3 Max vs GLM-4.5V

GLM-4.5V is the better all-round choice, scoring 49/100 against Qwen3-Next 80B-A3B Instruct (39) and Qwen3 Max (31). It leads on inputs & features. Qwen3 Max wins 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.

Qwen3-Next 80B-A3B Instruct is cheaper at $0.50 input / $2.00 output per million tokens (official Alibaba API price). GLM-4.5V costs $0.60 input / $1.80 output per million tokens (official Z.AI API price); Qwen3 Max costs $1.20 input / $6.00 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.875 per million tokens for Qwen3-Next 80B-A3B Instruct versus $0.90 for GLM-4.5V (1× as much) and $2.40 for Qwen3 Max (2.7× as much).

There is no independent benchmark that covers all three models yet. Qwen3-Next 80B-A3B Instruct has not been scored yet, Qwen3 Max has an ECI of 142.4 and GLM-4.5V has not been scored yet.

There are no published SWE-bench Verified results for Qwen3-Next 80B-A3B Instruct, Qwen3 Max and GLM-4.5V 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.

Qwen3 Max has the largest context window at 262,144 tokens, against 131,072 for Qwen3-Next 80B-A3B Instruct and 64,000 for GLM-4.5V. Maximum output per response: Qwen3-Next 80B-A3B Instruct up to 32,768, Qwen3 Max up to 65,536, GLM-4.5V up to 16,384 tokens.

Qwen3-Next 80B-A3B Instruct accepts text; Qwen3 Max accepts text; GLM-4.5V accepts text, images and video. GLM-4.5V handles the widest range of inputs.

Qwen3-Next 80B-A3B Instruct and GLM-4.5V publishes its weights and can be self-hosted; Qwen3 Max is proprietary.

Qwen3 Max is the newest, released Sep 23, 2025. Qwen3-Next 80B-A3B Instruct came out Sep 2025; GLM-4.5V came out Aug 11, 2025. Knowledge cutoff: Qwen3-Next 80B-A3B Instruct Apr 2025, Qwen3 Max Apr 2025, GLM-4.5V 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 Oct 4, 2026.