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DeepSeek Advanced

DeepSeek-V4-Flash

DeepSeek-V4-Flash is a public-beta 1M-context coding and agent model with up to 384K output and off-peak pricing from $0.22/M input.

General Purpose Language ModelText Paid
In plain English

What is this model and why does it matter?

DeepSeek-V4-Flash is DeepSeek's fast 1M-context V4 model for coding agents, reasoning and cost-sensitive production workloads.

Coding agentsReasoningLong-context automationTool useCost-sensitive production
Model overview

DeepSeek-V4-Flash: features, use cases and important details

DeepSeek-V4-Flash is DeepSeek’s fast V4 API model, updated to DeepSeek-V4-Flash-0731 on July 31, 2026.

Verified model facts

Official documentation lists a 1M-token context window, maximum 384K output, thinking and non-thinking modes, JSON output, tool calls, Responses API and Anthropic-compatible access.

Current status

The July 31 release is described as public beta and uses DeepSeek’s current peak/off-peak pricing system.

Best fit

It is best for coding agents, long-context automation and cost-sensitive reasoning workloads.

Limitations

It remains a beta-generation service, no public knowledge cutoff is stated and peak pricing is twice the off-peak rate.

Get started

How to use this model

  1. Create a DeepSeek API key.
  2. Set model to deepseek-v4-flash.
  3. Choose thinking or non-thinking mode.
  4. Use JSON output, tools or the Responses API as needed.
  5. Schedule cost-sensitive workloads outside peak windows where practical.
Copy and try

Example prompts

  • Complete this repository-level coding task using tools.
  • Reason through this long technical specification and return a JSON plan.
  • Build a cost-efficient agent workflow for this operation.
Capabilities

What it can do

  • 1M context
  • 384K max output
  • Thinking/non-thinking modes
  • Tool calls
  • JSON output
  • Responses API
  • FIM completion
Best for

Practical use cases

  • Coding
  • Agents
  • Automation
  • Long-context reasoning
  • Cost-efficient API workloads
Pricing

What does it cost?

Current off-peak/peak pricing: uncached input $0.22/$0.44 per 1M tokens, cached input $0.007/$0.014 and output $0.66/$1.32.

Input$0.22 off-peak / $0.44 peak per 1M uncached tokens
Output$0.66 off-peak / $1.32 peak per 1M tokens
Simple summaryOff-peak pricing is $0.22/M uncached input and $0.66/M output; peak pricing doubles those rates.

What stands out

  • Very low API cost
  • 1M context
  • Huge max output
  • Strong agent focus
  • OpenAI/Anthropic-compatible interfaces

Things to consider

  • Public-beta lifecycle
  • No open weights claimed
  • Peak pricing is double off-peak
Limitations

Important restrictions and trade-offs

  • Knowledge cutoff is not publicly specified
  • Preview/beta behavior can change
  • Tool and long-output workflows require validation
SimplifyAITools verdict

Our editorial take

One of the best-value current agent/coding APIs if teams are comfortable using a public-beta model.

References

Primary sources

  1. Open source 1 ↗
  2. Open source 2 ↗
  3. Open source 3 ↗
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