Hy4 or GLM 5.3?

Tencent's Hy4 against Z.ai's GLM 5.3, both uncensored and both reading a million tokens with tool calling. Hy4 reads images and costs less for cached input; GLM 5.3 costs less for fresh input and output and writes longer replies.

Intelligence Index is the Artificial Analysis Intelligence Index v4.3.2 for each base model; uncensored builds are not benchmarked separately. The agent session is about 750,000 input tokens re-read across 25 turns, 85% of them cache hits, and 25,000 tokens written. Prices are what Wild West charges, checked 18 October 2026; the model pages always carry the current figures.

Use Hy4 Outlaw when

• The job involves screenshots, diagrams or any other image. Hy4 Outlaw reads them; Slingshooter is text only.
• The prompt is mostly re-read context, as an agent's is. Cached input is $0.60 per million tokens against $1.00.
• You want a second model family on the same task, to check one model's answer against another's.

Use Slingshooter when

• The reply is long. Slingshooter writes up to 131,072 tokens in one reply against 65,536.
• Fresh input and output dominate the bill: $2.00 in and $5.00 out per million tokens against $3.20 and $6.40.

Trying both

Both answer on https://wildwestapi.com/v1 and the Anthropic-compatible endpoint with the same key, so the quickest comparison is your own prompt sent to each. The request is identical apart from the model id; the DeepSeek V4.1 Flash quickstart has it in curl, Python and JavaScript.

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