Qwen3.6 27B vs Qwen3.7 Plus vs GLM-5

Qwen3.7 Plus is the better all-round choice, scoring 70/100 against Qwen3.6 27B (65) and GLM-5 (55). It leads on price and context window. Qwen3.6 27B wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Qwen3.7 Plus is cheaper at $0.40 input / $1.60 output per million tokens (official Alibaba API price). Qwen3.6 27B costs $0.60 input / $3.60 output per million tokens (official Alibaba API price); GLM-5 costs $1.00 input / $3.20 output per million tokens (official Z.AI API price). At a typical mix of three input tokens to one output token, that is $0.70 per million tokens for Qwen3.7 Plus versus $1.35 for Qwen3.6 27B (1.9× as much) and $1.55 for GLM-5 (2.2× as much).

Qwen3.7 Plus scores higher on the Capabilities Index (ECI): Qwen3.7 Plus 147.4 (#61 of 148), Qwen3.6 27B 146.5 (#68 of 148) and GLM-5 145.8 (#74 of 148). The confidence ranges of the top two overlap (145.7–148.9 vs 144.2–147.9), so treat the gap as small. On individual benchmarks: GPQA Diamond — Qwen3.7 Plus 87.9%, GLM-5 87.8%, Qwen3.6 27B 85.9%; OTIS Mock AIME 2024–2025 — Qwen3.7 Plus 93.3%, Qwen3.6 27B 91.1%, GLM-5 80.0%.

There are no published SWE-bench Verified results for Qwen3.6 27B and Qwen3.7 Plus yet, so there is no like-for-like coding score. On overall capability, Qwen3.7 Plus leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.

Qwen3.7 Plus has the largest context window at 1,000,000 tokens, against 262,144 for Qwen3.6 27B and 204,800 for GLM-5. Maximum output per response: Qwen3.6 27B up to 65,536, Qwen3.7 Plus up to 64,000, GLM-5 up to 131,072 tokens.

Qwen3.6 27B accepts text, images, audio and video; Qwen3.7 Plus accepts text, images and video; GLM-5 accepts text. Qwen3.6 27B handles the widest range of inputs.

Qwen3.6 27B and GLM-5 publishes its weights and can be self-hosted; Qwen3.7 Plus is proprietary.

Qwen3.7 Plus is the newest, released Jun 2, 2026. Qwen3.6 27B came out Apr 22, 2026; GLM-5 came out Feb 12, 2026. Knowledge cutoff: Qwen3.7 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 Oct 4, 2026.