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Model details
DeepSeek V4.1 Flash 1017 Uncensored (HeimdaLLM)
This listing covers a DeepSeek-family chat model presented as the V4.1 Flash 1017 Uncensored variant, with the name also carrying a HeimdaLLM attribution and published in a stable state. It is positioned for general conversational and agentic workloads: the entry accepts text alongside images, returns text, and is exposed with reasoning, tool calling, JSON output, and streaming support, which makes it usable for pipeline stages that need structured returns or external tools invoked mid-response. The large context figure published for the entry is a practical fit for long documents, multi-file chats, and long-running agent trajectories rather than short prompt-and-answer exchanges.
Treat the details published for this variant as listing-level rather than model-card level. The name asserts an uncensored characterization, but no benchmark table, rating, or behavioral study accompanies the entry yet, so head-to-head quality comparisons against other Flash-tier models cannot be drawn from available evidence. On the positive side, what is published is coherent and consistent across sources: an image-capable input path, reasoning and tool-use affordances, structured JSON output, streaming, and a batch option that runs at the same per-token rate as live traffic without storage fees, which suits high-volume offline generation. For teams needing a long-context, multimodal, tool-using assistant served through an API, the entry is a practical option to trial directly against their own evaluation set.
Quick Info
Powered by- Provider
- DevPass (LLM Gateway)
- Model key
- deepseek-v4.1-flash-uncensored
- Release date
- Nov 9, 2026
- Last updated
- Nov 9, 2026
- Input modalities
- Output modalities
- Capabilities
Cost
- Input token cost
- $0.18
- Output token cost
- $0.65
Limits
- Output tokens
- 1,048,576 tokens
- Context window
- 1,048,576 tokens
Transparent token rates
Compare DeepSeek V4.1 Flash 1017 Uncensored (HeimdaLLM) pricing
Rates are shown per one million tokens. Combined means one million input plus one million output tokens.
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