DeepSeek-V4.1-Flash
About DeepSeek-V4.1-Flash
DeepSeek-V4.1-Flash is DeepSeek's latest multimodal MoE model with 552B backbone parameters. Built on a Causal Encoder-Decoder architecture, it activates only ~8B parameters during prefill and ~16B during decode, delivering flagship-level intelligence at significantly lower inference cost. The model natively understands images, supports a 1M-token context window. It outperforms DeepSeek-V4-Pro across coding, agentic and automation benchmarks, while reducing the KV cache footprint by roughly 4x versus its predecessor.
Available Serverless
Run queries immediately, pay only for usage
Input Price
$
0.15
/ M Tokens
Cache Read
$
0.003
/ M Tokens
Output Price
$
0.6
/ M Tokens
Metadata
Specification
State
Available
Architecture
Causal Encoder-Decoder MoE
Calibrated
No
Mixture of Experts
Yes
Total Parameters
552B
Activated Parameters
8B / 16B
Reasoning
No
Precision
FP8
Context length
1049K
Max Tokens
393K
Supported Functionality
Serverless
Supported
Serverless LoRA
Not supported
Fine-tuning
Not supported
Embeddings
Not supported
Rerankers
Not supported
Support image input
Supported
JSON Mode
Supported
Structured Outputs
Not supported
Tools
Supported
Fim Completion
Not supported
Chat Prefix Completion
Supported
Compare with Other Models
See how this model stacks up against others.
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Max output:
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Input:
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Input:
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/ M Tokens
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Max output:
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Input:
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/ M Tokens
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Input:
$
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/ M Tokens
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Input:
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Max output:
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Input:
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/ M Tokens
Output:
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/ M Tokens
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Max output:
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Input:
$
0.05
/ M Tokens
Output:
$
0.05
/ M Tokens
