GLM-5 vs Qwen3.7 Max

Qwen3.7 Max is the better all-round choice, scoring 58/100 against GLM-5 (55). It leads on capability and context window. GLM-5 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

GLM-5 is cheaper at $1.00 input / $3.20 output per million tokens (official Z.AI API price). Qwen3.7 Max costs $2.50 input / $7.50 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $1.55 per million tokens for GLM-5 versus $3.75 for Qwen3.7 Max (2.4× as much).

Qwen3.7 Max scores higher on the Capabilities Index (ECI): Qwen3.7 Max 153.7 (#37 of 148) and GLM-5 145.8 (#74 of 148). Their confidence ranges do not overlap (151.9–156.0 vs 143.9–147.7), so the gap is a real one. On individual benchmarks: GPQA Diamond — Qwen3.7 Max 90.9%, GLM-5 87.8%; OTIS Mock AIME 2024–2025 — Qwen3.7 Max 95.6%, GLM-5 80.0%; SWE-bench Verified — Qwen3.7 Max 77.3%, GLM-5 72.1%.

Qwen3.7 Max resolves more real GitHub issues on SWE-bench Verified: Qwen3.7 Max 77.3% and GLM-5 72.1%. Both support tool calling for agent workflows.

Qwen3.7 Max has the largest context window at 1,000,000 tokens, against 204,800 for GLM-5. Maximum output per response: GLM-5 up to 131,072, Qwen3.7 Max up to 65,536 tokens.

GLM-5 accepts text; Qwen3.7 Max accepts text. They handle the same number of input types.

GLM-5 publishes its weights and can be self-hosted; Qwen3.7 Max is proprietary.

Qwen3.7 Max is the newest, released May 21, 2026. GLM-5 came out Feb 12, 2026.

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.