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DeepSeekAvailable on TokenCenter

DeepSeek V4 Flash 0731

deepseek/deepseek-v4-flash-0731

DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows.

Key facts

Input price
$0.10 / 1M tokens
Output price
$0.30 / 1M tokens
Context window
1M tokens
Max output
944K tokens
Accepts
Text
Returns
Text

Example: 1,000 requests with 1,000 input and 500 output tokens each would cost about $0.25 (1M input tokens × $0.10 + 0.5M output tokens × $0.30). Estimate your own usage.

Prices are the provider’s own per-token rates with zero markup, from our price list as of Oct 18, 2026. If a call has extra provider charges (images, audio, web search, cached prompts), you pay the reported cost.

Call it from your code

curl https://api.tokenctr.com/v1/chat/completions \
  -H "Authorization: Bearer $TOKENCENTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "deepseek/deepseek-v4-flash-0731", "messages": [{"role": "user", "content": "Hello!"}]}'

Works with any OpenAI-compatible SDK: set the base URL to https://api.tokenctr.com/v1. Quickstart

Benchmarks

Artificial Analysis

Intelligence index
34.3
Coding index
69.1
Agentic index
41

Design Arena

CategoryRankEloWin rate
Models: SVG31118345.1%
Models: 3D44120948.7%
Models: UI components46123546.8%
Models: Websites47123946.7%
Models: Code49123146.4%
Models: Game dev49121144.6%
Models: Data visualization62118241.1%
Models: ASCII art63109333.3%

Source: Artificial Analysis indexes and Design Arena results as published in OpenRouter’s model data, fetched Oct 15, 2026. Higher is better. Not measured by TokenCenter. See all rankings.

Supported request parameters

frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_pparallel_tool_callspresence_penaltyreasoningreasoning_effortrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_atop_ktop_logprobstop_p