GLM-4.7 vs Qwen3.5 Plus vs Kimi K2 Thinking

Qwen3.5 Plus is the better all-round choice, scoring 66/100 against Kimi K2 Thinking (58) and GLM-4.7 (56). It leads on price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Qwen3.5 Plus is cheaper at $0.40 input / $2.40 output per million tokens (official Alibaba API price). GLM-4.7 costs $0.60 input / $2.20 output per million tokens (official Z.AI API price); Kimi K2 Thinking costs $0.60 input / $2.50 output per million tokens (median across 10 API providers). At a typical mix of three input tokens to one output token, that is $0.90 per million tokens for Qwen3.5 Plus versus $1.00 for GLM-4.7 (1.1× as much) and $1.07 for Kimi K2 Thinking (1.2× as much).

Qwen3.5 Plus scores higher on the Capabilities Index (ECI): Qwen3.5 Plus 146.8 (#65 of 148), Kimi K2 Thinking 146.0 (#72 of 148) and GLM-4.7 143.5 (#84 of 148). The confidence ranges of the top two overlap (144.6–148.1 vs 143.4–147.6), so treat the gap as small. On individual benchmarks: GPQA Diamond — Qwen3.5 Plus 84.9%, Kimi K2 Thinking 84.2%, GLM-4.7 83.3%; OTIS Mock AIME 2024–2025 — Qwen3.5 Plus 86.7%, GLM-4.7 83.3%, Kimi K2 Thinking 83.1%.

There are no published SWE-bench Verified results for GLM-4.7, Qwen3.5 Plus and Kimi K2 Thinking yet, so there is no like-for-like coding score. On overall capability, Qwen3.5 Plus leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.

Qwen3.5 Plus has the largest context window at 1,000,000 tokens, against 262,144 for Kimi K2 Thinking and 204,800 for GLM-4.7. Maximum output per response: GLM-4.7 up to 131,072, Qwen3.5 Plus up to 65,536, Kimi K2 Thinking up to 262,144 tokens.

GLM-4.7 accepts text; Qwen3.5 Plus accepts text, images and video; Kimi K2 Thinking accepts text. Qwen3.5 Plus handles the widest range of inputs.

GLM-4.7 and Kimi K2 Thinking publishes its weights and can be self-hosted; Qwen3.5 Plus is proprietary.

Qwen3.5 Plus is the newest, released Feb 16, 2026. GLM-4.7 came out Dec 22, 2025; Kimi K2 Thinking came out Nov 6, 2025. Knowledge cutoff: GLM-4.7 Apr 2025, Qwen3.5 Plus Apr 2025, Kimi K2 Thinking Aug 2024.

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.