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Model Library
/Deepseek/DeepSeek V4.1 Flash
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DeepSeek V4.1 Flash

Ready
model path:accounts/fireworks/models/deepseek-v4p1-flash

DeepSeek-V4.1-Flash is a multimodal Mixture-of-Experts model with 552B backbone parameters that natively processes images and text at up to 1M token context. Its Causal Encoder-Decoder architecture activates only 8B parameters during prefill and 16B during decode, cutting the KV cache footprint to roughly a quarter of DeepSeek-V4-Flash for cost-efficient agentic workloads.

DeepSeek V4.1 Flash API Features

Serverless

Docs

DeepSeek V4.1 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 V4.1 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

$0.22 / $0.007 / $0.66
Per 1M Tokens (input/cached input/output)

Metadata

State
Ready
Created on
9/10/2026
Kind
Base model
Provider
Deepseek

Specification

Calibrated
No
Mixture-of-Experts
No
Parameters
552B

Supported Functionality

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