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Model Library
/Deepseek/DeepSeek-V4-Flash
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DeepSeek-V4-Flash

Ready
model path:accounts/fireworks/models/deepseek-v4-flash

DeepSeek-V4-Flash is a streamlined open-source Mixture-of-Experts model optimized for fast, cost-efficient inference while preserving strong reasoning and coding performance at 1M token context scale. It leverages the same hybrid attention innovations as Pro but is tuned for lower latency and higher throughput in real-time applications. It delivers near-Pro reasoning quality under sufficient compute budget, making it ideal for interactive agents and high-volume production workloads.

DeepSeek-V4-Flash API Features

Serverless

Docs

DeepSeek-V4-Flash is available via Fireworks' serverless API, where you pay per token. There are several ways to call the Fireworks API, including Fireworks' Python client, the REST API, or OpenAI's Python client.

On-demand Deployment

Docs

On-demand deployments allow you to use DeepSeek-V4-Flash on dedicated GPUs with Fireworks' high-performance serving stack with high reliability and no rate limits.

Available Serverless

Run queries immediately, pay only for usage

$0.14 / $0.03 / $0.28
Per 1M Tokens (input/cached input/output)

Metadata

State
Ready
Created on
4/24/2026
Kind
Base model
Provider
Deepseek

Specification

Calibrated
No
Mixture-of-Experts
Yes
Parameters
284B

Supported Functionality

Fine-tuning
Not supported
Serverless
Supported
Context Length
1040k tokens
Function Calling
Supported
Embeddings
Not supported
Rerankers
Not supported
Support image input
Not supported