GLM-4.7 vs Claude Haiku 4.5 vs Qwen3 Max

It is close. Our weighted score puts them within 2 points (Claude Haiku 4.5 58/100, GLM-4.7 56/100, Qwen3 Max 50/100), so choose by what matters most for your work: GLM-4.7 for raw capability and Qwen3 Max for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

GLM-4.7 is cheaper at $0.60 input / $2.20 output per million tokens (official Z.AI API price). Claude Haiku 4.5 costs $1.00 input / $5.00 output per million tokens (official Anthropic 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 $1.00 per million tokens for GLM-4.7 versus $2.00 for Claude Haiku 4.5 (2× as much) and $2.40 for Qwen3 Max (2.4× as much).

GLM-4.7 scores higher on the Capabilities Index (ECI): GLM-4.7 143.5 (#84 of 148), Claude Haiku 4.5 142.4 (#90 of 148) and Qwen3 Max 142.4 (#91 of 148). The confidence ranges of the top two overlap (141.3–145.6 vs 139.5–144.3), so treat the gap as small. On individual benchmarks: GPQA Diamond — GLM-4.7 83.3%, Qwen3 Max 72.6%, Claude Haiku 4.5 71.2%; OTIS Mock AIME 2024–2025 — GLM-4.7 83.3%, Qwen3 Max 73.3%, Claude Haiku 4.5 66.7%; SimpleQA Verified — Qwen3 Max 48.8%, GLM-4.7 32.2%, Claude Haiku 4.5 13.2%.

There are no published SWE-bench Verified results for GLM-4.7, Claude Haiku 4.5 and Qwen3 Max yet, so there is no like-for-like coding score. On overall capability, GLM-4.7 leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.

Qwen3 Max has the largest context window at 262,144 tokens, against 204,800 for GLM-4.7 and 200,000 for Claude Haiku 4.5. Maximum output per response: GLM-4.7 up to 131,072, Claude Haiku 4.5 up to 64,000, Qwen3 Max up to 65,536 tokens.

GLM-4.7 accepts text; Claude Haiku 4.5 accepts text, images and PDFs; Qwen3 Max accepts text. Claude Haiku 4.5 handles the widest range of inputs.

GLM-4.7 publishes its weights and can be self-hosted; Claude Haiku 4.5 and Qwen3 Max is proprietary.

GLM-4.7 is the newest, released Dec 22, 2025. Claude Haiku 4.5 came out Oct 15, 2025; Qwen3 Max came out Sep 23, 2025. Knowledge cutoff: GLM-4.7 Apr 2025, Claude Haiku 4.5 Feb 28, 2025, Qwen3 Max 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.