Measured on Composite
This model has not carried enough traffic on Composite yet to publish a success rate, a latency figure or a traffic rank. The numbers appear here once it has.
AI model
DeepSeek: DeepSeek V4 Flash 0731 (quality) (Reasoning)
deepseek/deepseek-v4-flash-0731:quality-reasoning
DeepSeek: DeepSeek V4 Flash 0731 (quality) (Reasoning) is a 1,048,576-token model served on Composite at $0.163 per million tokens in and $0.325 per million tokens out.
Try in PlaygroundSpecifications
| Model ID | deepseek/deepseek-v4-flash-0731:quality-reasoning |
|---|---|
| Provider | BaseTen |
| Context window | 1,048,576 tokens |
| Accepts | text |
| Returns | text |
| Input price | $0.163 per million tokens |
| Output price | $0.325 per million tokens |
| Prompt caching | Supported — cached input is billed at the provider's cache rate, on credits and plans alike |
| Thinking | Optional - see "DeepSeek: DeepSeek V4 Flash 0731 (quality) (Reasoning) (Reasoning)" in the catalog to turn it on by default |
| Moderated | No |
| Cost on a monthly plan | About 1.3 plan credits per typical call (8k in, 1k out) |
| Routing endpoints | 1 |
Pricing
$0.163 per million tokens input · $0.325 per million tokens output
Credits pay the provider’s price plus 25%; cache hits cost less.
On a monthly plan, a typical call (8k tokens in, 1k out) uses about 1.3 plan credits, at the provider's own price.
Provider
BaseTen
Roleplay fit
DeepSeek models are known for strong reasoning and coding ability at aggressive pricing, which makes them a common pick for roleplay accounts that send a high volume of messages.
Context behavior
With a 1,048,576-token context window, it can hold a long-running roleplay or a full lorebook in memory without losing earlier plot details, so it suits multi-session campaigns and character cards with heavy backstory.
Cost for regular use
It is priced low enough for high-volume daily roleplay without the per-message cost adding up quickly.
From the provider
DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows....
Supplied by BaseTen, not written by Composite.
Related models
DeepSeek: DeepSeek V4.1 Flash 1017 · DeepSeek: DeepSeek V4.1 Flash · DeepSeek: DeepSeek V4 Flash Vision Exp