DeepSeek

Deepseek V4.1 Flash API Pricing

Deepseek V4.1 Flash has tracked API rates of $0.3 per 1M input tokens and $1.20 per 1M output tokens. Cached input is billed at $0.006 per 1M tokens. Rates are in USD from the AI IQ dataset; see the Deepseek V4.1 Flash model profile for capability scores.

Input / 1M
$0.3
Output / 1M
$1.20
Effective / 1M I/O
$1.85
Cost Rank
#57

Price List

RatePrice (USD)Notes
Input$0.3per 1M tokens
Output$1.20per 1M tokens
Cached input (read)$0.006per 1M tokens
Blended input + output$1.501M in + 1M out at list price
Context window1M tokens

Pricing References and Billing Caveats

These are the tracked rates, not a live quote. Hosted-provider choice, region, long-context tiers, caching, batch discounts, and temporary promotions can change the actual bill. Open-weight availability does not mean hosted inference is free. Workload examples assume the listed standard input and output rates, with no cache hits or discounts.

DeepSeek pricing catalog — check current offerings and rate tiers. This catalog may not list historical models or third-party hosted endpoints.

Publisher-reported pricing notes

  • Peak and off-peak API prices differ; the stored prices use peak rates.
  • The original checkpoint is no longer served by the current deepseek-flash alias; retained hosted prices describe its historical peak rates.

Official release and model references

These references document the model and its release; not every reference is a pricing table. Confirm the applicable endpoint and billing tier with your inference provider before purchase.

What a Workload Costs

Computed straight from the list prices above — token counts are illustrative workload sizes, not measurements of Deepseek V4.1 Flash.

WorkloadCostTokens
Short chat turn$0.000901K in / 500 out
Summarize a long document$0.032100K in / 2K out
Agentic coding session$0.270500K in / 100K out
1M input + 1M output tokens$1.501M in / 1M out

Effective Cost

In AI IQ's scoring, Deepseek V4.1 Flash's list price is adjusted by a token-usage multiplier of 1.232 (measured from real benchmark runs), giving an effective cost of $1.85 per 1M input + output tokens. That places it #57 of 155 models on the effective-cost ranking (lower is cheaper). Some models spend far more tokens than others on the same task, so effective cost compares what a unit of work really costs. Method details are on the methodology page; see all models on the cost charts and the falling cost of intelligence over time.

Cheaper Alternatives at Similar Capability

Models with a lower effective cost that score within a few IQ points of Deepseek V4.1 Flash (IQ 126), or better.

ModelProviderIQEffective Cost / 1M
gpt-6-lunaOpenAI125$0.7615
mimo-v2.6-proXiaomi125$1.50
gpt-5.6-lunaOpenAI124$1.62
MiniMax M3.1 FlashMiniMax123$1.40

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