DeepSeek V4 Flash 0731 with Jev
DeepSeek V4 Flash 0731 is a model from DeepSeek, released 2026-07-31. It costs $0.018 per million input tokens and $0.320 per million output tokens, reads up to 1.31M tokens of context, and writes up to 943,718 tokens in one reply. Through llm11, set model to deepseek/deepseek-v4-flash-0731.
- Input price
- $0.018 / 1M
- Output price
- $0.320 / 1M
- Context window
- 1.31M tokens
- Max output
- 944K tokens
- Cached input
- $0.018 / 1M
- Released
- 2026-07-31
- Accepts
- text
- Intelligence index
- 34.3
Read from the provider's prompt cache
Artificial Analysis, via the catalogue
Read from the live catalogue and refreshed daily. At blended list price, 92% of the 332 priced models we can call cost more.
Using DeepSeek V4 Flash 0731 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 Flash 0731 does the answering when Jev sends it work, or when you name it yourself. DeepSeek V4 Flash 0731 falls in the llm11-fast band, and the labs and limits it meets make it eligible for that pack. Today it is one of the models in that pack's live pool.
Jev is new, so we have not published results for DeepSeek V4 Flash 0731 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 | $0.00007 | $0.073 |
| Question over retrieved documents | 4,000 / 500 | $0.00023 | $0.232 |
| Long document summary | 30,000 / 1,000 | $0.00086 | $0.860 |
Cheaper models to try
Nothing cheaper scores within a few points of DeepSeek V4 Flash 0731 on the intelligence index. These are the nearest cheaper models with a score, so you can see the gap for yourself.
| Model | Input / 1M | Output / 1M | Context | Index | Released |
|---|---|---|---|---|---|
| Google Gemma 3 12B | $0.050 | $0.150 | 131K | 3.8 | |
| OpenAI gpt-oss-120b | $0.037 | $0.170 | 131K | 11.6 | |
| OpenAI gpt-oss-20b | $0.018 | $0.090 | 131K | 9 |
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-flash-0731",
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 0423 | $0.140 | $0.280 | 1.05M | |
| DeepSeek V4 Pro 0423 | $0.955 | $1.91 | 1.05M | |
| DeepSeek V3.2 | $0.280 | $0.420 | 164K |
Questions
- What is DeepSeek V4 Flash 0731 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 Flash 0731 does the answering when Jev sends it work, or when you name it yourself. DeepSeek V4 Flash 0731 falls in the llm11-fast band, and the labs and limits it meets make it eligible for that pack. Today it is one of the models in that pack's live pool. Routing decisions are made by Jev, TypeSafe AI's System One model.
- Is DeepSeek V4 Flash 0731 a System One model?
- No. DeepSeek V4 Flash 0731 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 Flash 0731 cost?
- $0.018 per million input tokens and $0.320 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00023, so a thousand of them is about $0.232. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the DeepSeek V4 Flash 0731 context window?
- 1,310,720 tokens, with up to 943,718 tokens in a single reply.
- Does DeepSeek V4 Flash 0731 support tool calling and structured output?
- The catalogue lists tool calling, structured output and reasoning controls.
- Can I use DeepSeek V4 Flash 0731 through llm11?
- Yes. Set model to deepseek/deepseek-v4-flash-0731 on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to DeepSeek V4 Flash 0731?
- Routing decisions are made by Jev, TypeSafe AI's System One model. DeepSeek V4 Flash 0731 falls in the llm11-fast band, and the labs and limits it meets make it eligible for that pack. Today it is one of the models in that pack's live pool.
- What is a cheaper alternative to DeepSeek V4 Flash 0731?
- Nearest in price and below it: Google Gemma 3 12B at $0.050 in and $0.150 out, OpenAI gpt-oss-120b at $0.037 in and $0.170 out and OpenAI gpt-oss-20b at $0.018 in and $0.090 out. Nothing cheaper scores within a few points of DeepSeek V4 Flash 0731 on the intelligence index. These are the nearest cheaper models with a score, so you can see the gap for yourself.