DeepSeek V4 Flash
DeepSeekReleased Apr 24, 2026
DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and...
- Context window
- 1.0M tokens
- Max output
- 16K tokens
- Input
- text
- Output
- text
- Tokenizer
- DeepSeek
- Released
- Apr 24, 2026
- Reasoning
- optional
Pricing
Per 1M tokens. The provider price and our flat 3% fee are separate columns — what you pay is their sum.
| Per 1M tokens | Provider | + 3% fee | You pay |
|---|---|---|---|
| Input | $0.090 | $0.0027 | $0.093 |
| Output | $0.180 | $0.0054 | $0.185 |
| Cache read | $0.018 | $0.0005 | $0.019 |
Benchmarks
Artificial Analysis
- Intelligence index
- 40.3
- Coding index
- 56.2
- Agentic index
- 31.1
Design Arena
| Category | Elo | Win rate | Rank |
|---|---|---|---|
| 3Dmodels | 1269 | 50.1% | #24 |
| ASCII artmodels | 1170 | 45.2% | #34 |
| Codemodels | 1256 | 50.3% | #30 |
| Data vizmodels | 1168 | 41.8% | #60 |
| Game devmodels | 1262 | 50.6% | #27 |
| SVGmodels | 1216 | 49.5% | #23 |
| UI componentsmodels | 1223 | 46.8% | #38 |
| Websitesmodels | 1252 | 51% | #30 |
Head-to-head preference voting. How we filter and rank
Supported parameters
- frequency_penalty
- include_reasoning
- logit_bias
- logprobs
- max_tokens
- min_p
- presence_penalty
- reasoning
- repetition_penalty
- response_format
- seed
- stop
- structured_outputs
- temperature
- tool_choice
- tools
- top_k
- top_logprobs
- top_p
Call it
OpenAI-compatible: point your SDK at api.openkey.ai/v1 and use model deepseek/deepseek-v4-flash.
curl https://api.openkey.ai/v1/chat/completions \
-H "Authorization: Bearer $OPENKEY_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek/deepseek-v4-flash",
"messages": [{"role": "user", "content": "Hello"}]
}'import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.openkey.ai/v1",
api_key=os.environ["OPENKEY_API_KEY"],
)
completion = client.chat.completions.create(
model="deepseek/deepseek-v4-flash",
messages=[{"role": "user", "content": "Hello"}],
)
print(completion.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.openkey.ai/v1",
apiKey: process.env.OPENKEY_API_KEY,
});
const completion = await client.chat.completions.create({
model: "deepseek/deepseek-v4-flash",
messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);Questions
- How much does DeepSeek V4 Flash cost via API?
- Through OpenKey, DeepSeek V4 Flash costs $0.093 per 1M input tokens and $0.185 per 1M output tokens. That is the provider price ($0.090 / $0.180) plus a flat 3% fee — nothing else.
- What is DeepSeek V4 Flash's context window?
- DeepSeek V4 Flash accepts up to 1.0M tokens of context and returns up to 16K tokens per request.
- Is DeepSeek V4 Flash OpenAI-compatible?
- Yes. Send requests to OpenKey's /v1/chat/completions endpoint with model "deepseek/deepseek-v4-flash" using any OpenAI SDK — only the base URL and API key change.
- What inputs does DeepSeek V4 Flash support?
- DeepSeek V4 Flash accepts text input and produces text output.
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