DeepSeek V4.1 Flash or GLM 5.3 Flash?
Both read a million tokens, both call tools and both are uncensored. They split on images, on how much they write in one reply and on whether reasoning can be switched off.
| DeepSeek V4.1 Flash Outlaw | Hipshooter | |
|---|---|---|
| Model id | deepseek-v4.1-flash-outlaw | glm-5.3-flash-outlaw |
| Intelligence Index (base model) | 39 | 42 |
| Context | 1,048,576 tokens | 1,048,576 tokens |
| Longest reply | 393,216 tokens | 32,768 tokens |
| Tool calling | Yes | Yes |
| Images | No | Yes |
| Reasoning | On by default, adjustable | Always on |
| Input, per 1M tokens | $0.30 | $0.30 |
| Cached input, per 1M tokens | $0.20 | $0.20 |
| Output, per 1M tokens | $1.50 | $1.00 |
| A 25-turn agent session | $0.20 | $0.19 |
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 API charges, checked 18 October 2026; the model pages always carry the current figures.
Use DeepSeek V4.1 Flash Outlaw when
- The reply is long: a report, a large generated file or a long chain of reasoning. It writes up to 393,216 tokens in one reply against 32,768.
- The session is long and repetitive, the way an agent re-reads its history every turn. Cached input costs less on DeepSeek V4.1 Flash, and that is most of an agent's input.
- You want reasoning off for bulk extraction or classification. DeepSeek V4.1 Flash takes reasoning_effort "none"; GLM 5.3 Flash always thinks.
Use Hipshooter when
- The job involves screenshots, diagrams or any other image. GLM 5.3 Flash reads them; DeepSeek V4.1 Flash is text only.
- You want the higher score: 42 against 39 on the Artificial Analysis Intelligence Index for the base models.
- The work writes a lot and re-reads little, where GLM 5.3 Flash's lower output price wins.
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.
FAQ
Is DeepSeek V4.1 Flash Outlaw better than Hipshooter?
Not on the Artificial Analysis Intelligence Index, where the base models score 39 and 42. DeepSeek V4.1 Flash Outlaw writes far longer replies and costs less for cached input; Hipshooter reads images and costs less for output.
Which one should a coding agent use?
Hipshooter if the agent works from screenshots; otherwise either works, and DeepSeek V4.1 Flash Outlaw is the cheaper of the two for long sessions that re-read their history.
Can I switch between them?
Yes. They sit behind the same endpoint and key, so switching is a change of model id from deepseek-v4.1-flash-outlaw to glm-5.3-flash-outlaw or back.