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DeepSeek V4.1 Flash vs DeepSeek V4 Pro: pricing and benchmarks

DeepSeek V4.1 Flash is 77% cheaper on input tokens ($0.30 vs $1.32 per 1M). DeepSeek V4.1 Flash is 70% cheaper on output tokens ($1.20 vs $3.96 per 1M). On our document Q&A workload (50,000 questions a month), DeepSeek V4.1 Flash costs $156.00 a month versus $646.80 for DeepSeek V4 Pro, 76% less. Epoch AI has not published a capability index score for DeepSeek V4.1 Flash yet.

Prices verified September 14, 2026.

Which should you choose?

Overall capability
Too close to call

Epoch AI has not published a capability index score for DeepSeek V4.1 Flash yet.

Price
DeepSeek V4.1 Flash

DeepSeek V4.1 Flash costs $0.525 per 1M tokens (3:1 input-to-output mix) vs $1.98 for DeepSeek V4 Pro, 73% less.

Pricing and specs

DeepSeek V4.1 FlashDeepSeek V4 Pro
ProviderDeepSeekDeepSeek
API model IDdeepseek-flashdeepseek-v4-pro
Input / 1M tokens$0.30$1.32
Cached input / 1M tokens$0.006$0.044
Output / 1M tokens$1.20$3.96
Long-context rates
Context window1M tokens1M tokens
Max output384K tokens384K tokens
Batch discount

Benchmarks

DeepSeek V4.1 FlashDeepSeek V4 Pro
Epoch Capabilities Index155.5
GPQA Diamond· Science reasoning88.9%
FrontierMath (Tiers 1–3)· Advanced math64.6%
SimpleQA Verified· Factual accuracy52.9%
ARC-AGI-2· Abstract reasoning61.3%
DeepSWE· Coding
APEX-Agents· Agentic work

Source: Epoch AI, best recorded result per model (CC BY 4.0). A dash means no published score. See all benchmarks

Monthly cost for real workloads

WorkloadDeepSeek V4.1 FlashDeepSeek V4 ProDifference
Support chatbot
100,000 replies a month, ~1,500 input tokens (system prompt + history) and ~400 output tokens each.
$93.00$356.40DeepSeek V4.1 Flash 74% cheaper
Document Q&A (RAG)
50,000 questions a month with ~8,000 tokens of retrieved context and ~600 output tokens each.
$156.00$646.80DeepSeek V4.1 Flash 76% cheaper
Coding agent
10,000 agent steps a month, ~40,000 input tokens each (70% read from the prompt cache) and ~2,000 output tokens.
$61.68$249.92DeepSeek V4.1 Flash 75% cheaper

Estimates use standard list prices and ignore cache-write surcharges. Different tokenizers can count the same text differently, so test with your own prompts.

DeepSeek V4.1 Flash vs DeepSeek V4 Pro cost calculator

Standard-tier list prices. Long-context rates apply automatically where the provider publishes a threshold. Excludes cache-write surcharges, taxes, batch and volume discounts.

DeepSeek V4.1 Flash pricing notes

DeepSeek’s low-cost model with thinking and non-thinking modes, tool calls and vision input.

  • Prices shown are peak rates. Off-peak rates are half: peak hours are 01:00–04:00 and 06:00–10:00 UTC, Monday to Friday.
  • Compatible with both OpenAI-format and Anthropic-format APIs.
DeepSeek official pricing ↗

DeepSeek V4 Pro pricing notes

DeepSeek’s larger V4 model with thinking and non-thinking modes and tool calls.

  • Prices shown are peak rates. Off-peak rates are half: peak hours are 01:00–04:00 and 06:00–10:00 UTC, Monday to Friday.
  • Vision input is not supported.
DeepSeek official pricing ↗

Frequently asked questions

Is DeepSeek V4.1 Flash cheaper than DeepSeek V4 Pro?
DeepSeek V4.1 Flash is 77% cheaper on input tokens ($0.30 vs $1.32 per 1M). DeepSeek V4.1 Flash is 70% cheaper on output tokens ($1.20 vs $3.96 per 1M). On our document Q&A workload (50,000 questions a month), DeepSeek V4.1 Flash costs $156.00 a month versus $646.80 for DeepSeek V4 Pro, 76% less.
Which is more capable, DeepSeek V4.1 Flash or DeepSeek V4 Pro?
Epoch AI has not published a capability index score for DeepSeek V4.1 Flash yet.
How much does DeepSeek V4.1 Flash cost per 1M tokens?
DeepSeek V4.1 Flash costs $0.30 per 1M input tokens and $1.20 per 1M output tokens, and $0.006 per 1M cached input tokens on DeepSeek’s standard tier.
How much does DeepSeek V4 Pro cost per 1M tokens?
DeepSeek V4 Pro costs $1.32 per 1M input tokens and $3.96 per 1M output tokens, and $0.044 per 1M cached input tokens on DeepSeek’s standard tier.
Which has the larger context window, DeepSeek V4.1 Flash or DeepSeek V4 Pro?
Both offer a 1M-token context window.

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