AI model
deepseek/deepseek-v4-pro
DeepSeek: DeepSeek V4 Pro 0423 is a 1,048,576-token model served on Composite at $1.13 per million tokens in and $1.88 per million tokens out. Ranked #58 of 179 models by traffic on Composite over the last 30 days, taking 0.17% of tokens and 0.13% of requests (this model and its routing variants). Measured on Composite, 96.9% of its last 32 requests on Composite succeeded, the typical first token arrives in 10791 ms, output runs at about 184.4 tokens per second.
Try in Playground| Model ID | deepseek/deepseek-v4-pro |
|---|---|
| Provider | cv11 |
| Context window | 1,048,576 tokens |
| Accepts | text |
| Returns | text |
| Input price | $1.13 per million tokens |
| Output price | $1.88 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 Pro 0423 (Reasoning)" in the catalog to turn it on by default |
| Moderated | No |
| Cost on a monthly plan | About 8.7 plan credits per typical call (8k in, 1k out) |
| Routing endpoints | 10 (base plus 9 routing variants) |
Make a Composite API key and type deepseek/deepseek-v4-pro as the model name. JanitorAI takes the full URL https://composite.lucidity.sh/v1/chat/completions; SillyTavern, ChubAI, Agnai and RisuAI take https://composite.lucidity.sh/v1. It runs on credits, a plan, or your own provider key.
JanitorAI setup · SillyTavern setup · Best Janitor AI proxies compared
#58 of 179
0.17% of tokens and 0.13% of requests over 30 days, including routing variants.
96.9%
Across the last 32 requests Composite served for this model.
10791 ms
Median across the same sample.
184.4 tok/s
Median generation rate after the first token.
41.4%
Share of prompt tokens served from the provider's cache over 7 days.
The same model behind 9 alternative endpoints. Call the id directly to pin a route; the base id above picks for you.
| Route | Model ID | Provider | Price |
|---|---|---|---|
| Normal | deepseek/deepseek-v4-pro-normal |
cv11 | $1.19 per million tokens input · $2.39 per million tokens output |
| Normal + cheapThink | deepseek/deepseek-v4-pro-normal:cheapThink |
cv11 | $1.19 per million tokens input · $2.39 per million tokens output |
| Cheapest provider | deepseek/deepseek-v4-pro:cheapest-provider |
Relace | $1.13 per million tokens input · $1.88 per million tokens output |
| Cheapest provider + cheapThink | deepseek/deepseek-v4-pro:cheapest-provider:cheapThink |
Relace | $1.13 per million tokens input · $1.88 per million tokens output |
| cheapThink | deepseek/deepseek-v4-pro:cheapThink |
cv11 | $1.13 per million tokens input · $1.88 per million tokens output |
| Fast | deepseek/deepseek-v4-pro:fast |
Relace | $1.13 per million tokens input · $1.88 per million tokens output |
| Fast + cheapThink | deepseek/deepseek-v4-pro:fast:cheapThink |
Relace | $1.13 per million tokens input · $1.88 per million tokens output |
| Quality | deepseek/deepseek-v4-pro:quality |
GMICloud | $1.20 per million tokens input · $2.39 per million tokens output |
| Quality + cheapThink | deepseek/deepseek-v4-pro:quality:cheapThink |
GMICloud | $1.20 per million tokens input · $2.39 per million tokens output |
$1.13 per million tokens input · $1.88 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 8.7 plan credits, at the provider's own price.
cv11
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.
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.
It sits in the mid-range on price, a reasonable pick for regular roleplay use without going for the cheapest option available.
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...
Supplied by cv11, not written by Composite.
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