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

DeepSeek V4.1 Flash

DeepSeek V4.1 Flash model for reasoning and agentic coding

Line

Deepseek Flash

Weights

Open

Released

2026-09-10

Context

1M

Input

$0.15 / 1M

Output

$0.60 / 1M

Max output

393K

Coverage

1 signal

Overview

DeepSeek V4.1 Flash is a model for reasoning and agentic coding, part of the deepseek-flash line. It is the first version of its line in the registry. Context window is 1,000,000 tokens, max output 393,216 tokens. Open weights. Supports reasoning mode, tool calling, accepts image and text, returns text. Price from $0.15 per million input tokens and $0.60 per million output tokens, cached input from $0.003 per million tokens.

Specs

Released2026-09-10
LineDeepSeek · Deepseek Flash
WeightsOpen
Context1M tokens
Max output393K tokens
Inputimage, text
Outputtext
ReasoningYes
Tool callingYes
Knowledge cutoff2025-05
API iddeepseek-flash

Pricing

Input$0.15 / 1M tokens
Cached input$0.003 / 1M tokens
Output$0.60 / 1M tokens

First version of its line in the registry.

Strengths

  • 1M token context window
  • 393K max output tokens
  • Open weights
  • Reasoning and tool calling
  • Accepts image and text input

Best for

  • Reach for it for long-context reasoning tasks
  • Reach for it for agentic coding workflows
  • Reach for it for multimodal input with text output

How to access

ProviderModel id
302.AIdeepseek-flash
DeepSeekdeepseek-flash
Tempr Gatewaydeepseek-flash

3 hosts serve this model at the price above · the maker's documentation

What the digest said

1 signal of the archive mention this model, each scored against the published bar. This list is rebuilt from the archive at every build, so it cannot go stale.

Deepseek Flash: every version

VersionReleasedContextInput
DeepSeek V4 Flash Vision Exp2026-09-101M$0.0224

The registry keeps the six most recent versions of a line. Older ones stay in the file and can be surfaced without a rebuild.

FAQ

What is the context window?
1,000,000 tokens.
What is the price?
From $0.15 per million input tokens and $0.60 per million output tokens, cached input from $0.003 per million.
Are the weights open?
Yes.
Open weightsReasoning1M context