DeepSeek V4 Flash
Provider list prices: no platform markup, pay-as-you-go. These are official list prices. Logged-in customers may see effective prices including workspace discounts on /console/pricing. Effective input at a 70% cache-hit rate:$0.0434/M. Automatic disk KV-prefix caching: cache hits bill at the discounted cache-read rate with no opt-in and no write fee.
Use DeepSeek V4 Flash in 30 seconds
OpenAI-compatible: swap the base_url, keep your SDK. POST /v1/chat/completions
from openai import OpenAI
client = OpenAI(
base_url="https://synthorai.io/v1",
api_key="sk-syn-...",
)
resp = client.chat.completions.create(
model="deepseek-v4-flash",
messages=[{"role": "user", "content": "Summarize this diff"}],
)
print(resp.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://synthorai.io/v1",
apiKey: "sk-syn-...",
});
const resp = await client.chat.completions.create({
model: "deepseek-v4-flash",
messages: [{ role: "user", content: "Summarize this diff" }],
});
console.log(resp.choices[0].message.content);curl https://synthorai.io/v1/chat/completions \
-H "Authorization: Bearer sk-syn-..." \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek-v4-flash",
"messages": [{"role": "user", "content": "Hello"}]
}'package main
import (
"context"
"fmt"
"github.com/openai/openai-go/v3"
"github.com/openai/openai-go/v3/option"
)
func main() {
client := openai.NewClient(
option.WithBaseURL("https://synthorai.io/v1"),
option.WithAPIKey("sk-syn-..."),
)
resp, _ := client.Chat.Completions.New(context.TODO(), openai.ChatCompletionNewParams{
Model: "deepseek-v4-flash",
Messages: []openai.ChatCompletionMessageParamUnion{
openai.UserMessage("Summarize this diff"),
},
})
fmt.Println(resp.Choices[0].Message.Content)
}import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.chat.completions.*;
OpenAIClient client = OpenAIOkHttpClient.builder()
.baseUrl("https://synthorai.io/v1")
.apiKey("sk-syn-...")
.build();
ChatCompletion resp = client.chat().completions().create(
ChatCompletionCreateParams.builder()
.model("deepseek-v4-flash")
.addUserMessage("Summarize this diff")
.build());
System.out.println(resp.choices().get(0).message().content().orElse(""));About DeepSeek V4 Flash
DeepSeek V4 Flash is the fast, economical member of the open-source DeepSeek-V4 series: a Mixture-of-Experts model with 284B total parameters and 13B activated.
- It carries the series' 1M-token context window as standard and supports non-thinking and thinking modes, including higher reasoning-effort settings.
- DeepSeek highlights hybrid sparse-attention innovations that sharply cut long-context inference compute and KV-cache cost versus DeepSeek-V3.2, with reasoning performance approaching V4 Pro at lower price and latency.
- Weights are MIT-licensed.
- Synthorai serves DeepSeek V4 Flash via its OpenAI-compatible endpoint with no client changes required.
Specs & limits
| Max output (vendor spec) | 393,216 |
| Modalities | text → text |
| Parameters | 284B total · 13B active (MoE) |
| Features | tools · structured_output · streaming · reasoning · caching |
| License | MIT ↗ |
| Notable | 284B/13B active MoE, 1M context, Thinking + Non-Thinking modes; hybrid sparse attention, FP4+FP8 mixed precision; the fast, economical V4 variant. |
| Prompt caching | automatic |
FAQ
Is the DeepSeek V4 Flash API free to try?
Yes: new accounts get 10 trial calls and up to $1 in free credit, no card required. At $0.138/M input tokens, that credit alone covers roughly 905 requests of ~8K tokens against DeepSeek V4 Flash.
What is DeepSeek V4 Flash best at?
284B-parameter MoE with 13B activated, plus hybrid sparse attention cuts long-context costs and MIT-licensed weights with 1M-token context. See the About section for the full picture from the vendor's own release notes.
How much does DeepSeek V4 Flash cost?
DeepSeek V4 Flash costs $0.138 per million input tokens and $0.275 per million output tokens on Synthorai. That is the provider's list price, with no platform markup. Cached input tokens bill at $0.0028/M.
Does DeepSeek V4 Flash support prompt caching?
Yes, automatically: DeepSeek-served prompts cache with no code changes. Cached input tokens bill at $0.0028/M vs $0.138/M uncached. Prompt caching guide →
How do I get access to DeepSeek V4 Flash?
Point your existing OpenAI SDK at base_url="https://synthorai.io/v1", set model="deepseek-v4-flash", and you're done. One API key covers every model on the gateway.
Is DeepSeek V4 Flash open source?
Yes: the weights are published under the MIT license. Or skip the GPUs: the hosted version here is pay-as-you-go with no infrastructure to run. Running open-weight models →