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Step 3.7 Flash vs DeepSeek V4-Flash

Step 3.7 Flash is from StepFun, released May 29, 2026. DeepSeek V4-Flash is from DeepSeek, released July 31, 2026.

  • Input per 1M$0.20 vs $0.15. DeepSeek V4-Flash costs 25% less per million input tokens.
  • Output per 1M$1.15 vs $0.60. DeepSeek V4-Flash costs 48% less per million output tokens.
  • Context window256k vs 1M. DeepSeek V4-Flash takes 291% more context in one request.

Prices are the vendors’ published API rates; Elo is LMArena’s text board. Each figure is dated on its model page.

Interactive Comparison

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$0.20 / $1.15 per million tokens
$0.15 / $0.60 per million tokens
Identity
DeveloperStepFunDeepSeek
ReleasedMay 2026Jul 2026
Retired—10 September 2026
Status—Retired. DeepSeek retired V4-Flash on 2026-09-10; requests to deepseek-v4-flash are now served by DeepSeek V4.1-Flash, which has its own page. The figures below are V4.1-Flash's (off-peak), recorded here before that page existed.
LicenceApache 2.0 (open weights)MIT
Self-hostableYes — stepfun-ai/Step-3.7-Flash on Hugging FaceYes - open weights on Hugging Face
Cost
Blended $/1M tokensinput × 0.75 + output × 0.25$0.438 / 1M tokens$0.262 / 1M tokens
Input price$0.200 / 1M tokens$0.150 / 1M tokens
Output price$1.150 / 1M tokens$0.600 / 1M tokens
Cached input$0.04 / 1M tokens$0.006 / 1M tokens (peak); $0.003 off-peak - V4.1-Flash rates, which now serve this name
Batch discount—Off-peak billing: 50% off all rates outside 01:00-04:00 and 06:00-10:00 UTC, Monday to Friday (weekends and Chinese public holidays are off-peak in full)
Free tier—Not offered
Capacity
Context window256K tokens1M tokens
Max output—384k tokens
Long-context surcharge—None — flat rate across the 1M window
Capability
Vision inYes — images and videoNo
Audio in—No
Function callingYesYes
Structured output—Yes — JSON output
Extended reasoningYes — three reasoning-effort levelsYes — thinking (default) and non-thinking modes
Web search—No
Code execution—No
Access
APIYes — StepFun Open Platform (step-3.7-flash)Yes
Chat app—Yes
Cloud marketplaces—Not offered
Fine-tuning—Not offered
Measured quality
LMArena Elo—1436 (checked Oct 2026)
LMArena rank—Rank 105
Elo per dollarLMArena Elo ÷ blended $/1M tokens—5470

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