DeepSeek V4 Pro 0423 with Jev
DeepSeek V4 Pro 0423 is a model from DeepSeek, released 2026-04-24. It costs $0.955 per million input tokens and $1.91 per million output tokens, reads up to 1.05M tokens of context, and writes up to 384,000 tokens in one reply. Through llm11, set model to deepseek/deepseek-v4-pro.
- Input price
- $0.955 / 1M
- Output price
- $1.91 / 1M
- Context window
- 1.05M tokens
- Max output
- 384K tokens
- Cached input
- $0.080 / 1M
- Released
- 2026-04-24
- Accepts
- text
- Intelligence index
- 30.4
Read from the provider's prompt cache
Artificial Analysis, via the catalogue
Read from the live catalogue and refreshed daily. At blended list price, 37% of the 332 priced models we can call cost more.
Using DeepSeek V4 Pro 0423 with Jev
Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. DeepSeek V4 Pro 0423 does the answering when Jev sends it work, or when you name it yourself. DeepSeek V4 Pro 0423 falls in the llm11-balanced band, and the labs and limits it meets make it eligible for that pack. Packs keep a spread of eight models per band, and it is not one of the eight today, so it is only picked when you name it in a custom pool.
Jev is new, so we have not published results for DeepSeek V4 Pro 0423 with and without it, and this page does not invent any. Every response comes with a receipt that names the model that answered and what it cost against your most expensive model, so you can measure the pairing on your own traffic.
What a request costs
List price arithmetic, the same sum a receipt does. llm11 adds nothing per request; the only fee is on buying credits.
| Request | Tokens in / out | One | A thousand |
|---|---|---|---|
| Short chat turn | 500 / 200 | $0.00086 | $0.860 |
| Question over retrieved documents | 4,000 / 500 | $0.00478 | $4.78 |
| Long document summary | 30,000 / 1,000 | $0.031 | $30.57 |
Cheaper models to try
Nearest in price and below DeepSeek V4 Pro 0423, each within a few points of it on the intelligence index.
| Model | Input / 1M | Output / 1M | Context | Index | Released |
|---|---|---|---|---|---|
| Qwen Qwen3.8 27B | $0.045 | $4.40 | 1M | 33.7 | |
| DeepSeek DeepSeek V4.1 Flash | $0.300 | $1.20 | 1.05M | 39.5 | |
| OpenAI GPT-5.6 Luna | $0.200 | $1.20 | 1.05M | 37.3 | |
| OpenAI GPT-6 Luna | $0.100 | $0.500 | 1.05M | 37.3 |
Call it
Same OpenAI request shape. Naming the model pins it, so nothing is routed, and the answer is still checked.
python
from openai import OpenAI
client = OpenAI(base_url="https://www.llm11.com/v1", api_key="llm11_live_...")
res = client.chat.completions.create(
model="deepseek/deepseek-v4-pro",
messages=[{"role": "user", "content": "Hello"}],
)More from DeepSeek
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| DeepSeek V4.1 Flash | $0.300 | $1.20 | 1.05M | |
| DeepSeek V4 Flash Vision Exp | $0.216 | $0.647 | 1.05M | |
| DeepSeek V4 Pro 0813 | $0.480 | $4.20 | 1.05M | |
| DeepSeek V4 Flash 0731 | $0.018 | $0.320 | 1.31M | |
| DeepSeek V4 Flash 0423 | $0.140 | $0.280 | 1.05M | |
| DeepSeek V3.2 | $0.280 | $0.420 | 164K |
Questions
- What is DeepSeek V4 Pro 0423 with Jev?
- Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. DeepSeek V4 Pro 0423 does the answering when Jev sends it work, or when you name it yourself. DeepSeek V4 Pro 0423 falls in the llm11-balanced band, and the labs and limits it meets make it eligible for that pack. Packs keep a spread of eight models per band, and it is not one of the eight today, so it is only picked when you name it in a custom pool. Routing decisions are made by Jev, TypeSafe AI's System One model.
- Is DeepSeek V4 Pro 0423 a System One model?
- No. DeepSeek V4 Pro 0423 answers requests. The System One model is Jev, which decides which model answers each one, so the two do different jobs and llm11 uses both.
- How much does DeepSeek V4 Pro 0423 cost?
- $0.955 per million input tokens and $1.91 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00478, so a thousand of them is about $4.78. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the DeepSeek V4 Pro 0423 context window?
- 1,048,576 tokens, with up to 384,000 tokens in a single reply.
- Does DeepSeek V4 Pro 0423 support tool calling and structured output?
- The catalogue lists tool calling, structured output and reasoning controls.
- Can I use DeepSeek V4 Pro 0423 through llm11?
- Yes. Set model to deepseek/deepseek-v4-pro on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to DeepSeek V4 Pro 0423?
- Routing decisions are made by Jev, TypeSafe AI's System One model. DeepSeek V4 Pro 0423 falls in the llm11-balanced band, and the labs and limits it meets make it eligible for that pack. Packs keep a spread of eight models per band, and it is not one of the eight today, so it is only picked when you name it in a custom pool.
- What is a cheaper alternative to DeepSeek V4 Pro 0423?
- Nearest in price and below it: Qwen Qwen3.8 27B at $0.045 in and $4.40 out, DeepSeek DeepSeek V4.1 Flash at $0.300 in and $1.20 out and OpenAI GPT-5.6 Luna at $0.200 in and $1.20 out. Nearest in price and below DeepSeek V4 Pro 0423, each within a few points of it on the intelligence index.