DeepSeek V4.1 Flash or GLM 5.3?
The two ends of the line. GLM 5.3 scores highest of any model here; DeepSeek V4.1 Flash writes the longest replies and costs less for every kind of token. Both read a million tokens, both call tools, and neither reads images.
| DeepSeek V4.1 Flash Outlaw | Slingshooter | |
|---|---|---|
| Model id | deepseek-v4.1-flash-outlaw | glm-5.3-outlaw |
| Intelligence Index (base model) | 39 | 45 |
| Context | 1,048,576 tokens | 1,048,576 tokens |
| Longest reply | 393,216 tokens | 131,072 tokens |
| Tool calling | Yes | Yes |
| Images | No | No |
| Reasoning | On by default, adjustable | Always on |
| Input, per 1M tokens | $0.30 | $2.00 |
| Cached input, per 1M tokens | $0.20 | $1.00 |
| Output, per 1M tokens | $1.50 | $5.00 |
| A 25-turn agent session | $0.20 | $0.99 |
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. It writes up to 393,216 tokens in one reply against 131,072.
- Spend matters more than the last few points of score. DeepSeek V4.1 Flash costs less for input, cached input and output.
- You want reasoning off for bulk extraction or classification. DeepSeek V4.1 Flash takes reasoning_effort "none"; GLM 5.3 always thinks.
Use Slingshooter when
- The task is hard: planning, debugging, or a step an agent already failed once. GLM 5.3 scores 45 against 39 on the Artificial Analysis Intelligence Index for the base models, the highest on the line.
- One model balked at a task. The two come from different families and fail in different places, so the other is the first thing to try.
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 Slingshooter better than DeepSeek V4.1 Flash Outlaw?
On the Artificial Analysis Intelligence Index, yes: the base models score 45 and 39. DeepSeek V4.1 Flash Outlaw writes longer replies and costs less for every kind of token.
Which one should a coding agent use?
Slingshooter for the hard steps, DeepSeek V4.1 Flash Outlaw for long sessions where the tokens add up. Both call tools, so both drive Claude Code, Codex CLI and the rest.
Can I switch between them?
Yes. Same endpoint, same key: change the model id from deepseek-v4.1-flash-outlaw to glm-5.3-outlaw or back.