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Prices verified November 12, 2026

Claude Sonnet 5.5 vs DeepSeek V4.1 Flash: pricing and benchmarks

DeepSeek V4.1 Flash is 85% cheaper on input tokens ($0.30 vs $2.00 per 1M). DeepSeek V4.1 Flash is 88% cheaper on output tokens ($1.20 vs $10.00 per 1M). On our document Q&A workload (50,000 questions a month), DeepSeek V4.1 Flash costs $156.00 a month versus $1,100 for Claude Sonnet 5.5, 86% less. Claude Sonnet 5.5 scores 164.4 on the Epoch Capabilities Index vs 155.6 for DeepSeek V4.1 Flash.

Anthropic

Claude Sonnet 5.5

Input / 1M
$2.00
Output / 1M
$10.00
Capability (ECI)
164.4
DeepSeekLower blended cost

DeepSeek V4.1 Flash

Input / 1M
$0.30
Output / 1M
$1.20
Capability (ECI)
155.6

Which should you choose?

Overall capability
Claude Sonnet 5.5

Claude Sonnet 5.5 scores 164.4 on the Epoch Capabilities Index vs 155.6 for DeepSeek V4.1 Flash.

Advanced math
Claude Sonnet 5.5

Claude Sonnet 5.5 scores 88.8% on FrontierMath (Tiers 1–3) vs 67.4% for DeepSeek V4.1 Flash.

Price
DeepSeek V4.1 Flash

DeepSeek V4.1 Flash costs $0.525 per 1M tokens (3:1 input-to-output mix) vs $4.00 for Claude Sonnet 5.5, 87% less.

Best value
Too close to call

A trade-off: Claude Sonnet 5.5 is 8.9 ECI points more capable but costs 7.6x as much as DeepSeek V4.1 Flash.

Pricing and specs

Claude Sonnet 5.5DeepSeek V4.1 Flash
ProviderAnthropicDeepSeek
API model IDclaude-sonnet-5-5deepseek-flash
Input / 1M tokens$2.00$0.30
Cached input / 1M tokens$0.20$0.006
Output / 1M tokens$10.00$1.20
Long-context rates——
Context window1M tokens1M tokens
Max output128K tokens384K tokens
Batch discount50% off—

Benchmarks

Claude Sonnet 5.5DeepSeek V4.1 Flash
Epoch Capabilities Index164.4155.6
GPQA Diamond· Science reasoning95.6%89.8%
FrontierMath (Tiers 1–3)· Advanced math88.8%67.4%
SimpleQA Verified· Factual accuracy46.5%42.9%
ARC-AGI-2· Abstract reasoning—72.9%
DeepSWE· Coding——
APEX-Agents· Agentic work75.5%39.5%

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

WorkloadClaude Sonnet 5.5DeepSeek V4.1 FlashDifference
Support chatbot
100,000 replies a month, ~1,500 input tokens (system prompt + history) and ~400 output tokens each.
$700.00$93.00DeepSeek V4.1 Flash 87% cheaper
Document Q&A (RAG)
50,000 questions a month with ~8,000 tokens of retrieved context and ~600 output tokens each.
$1,100$156.00DeepSeek V4.1 Flash 86% 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.
$496.00$61.68DeepSeek V4.1 Flash 88% cheaper
Cached chatbot
The same 100,000-reply support chatbot, but 60% of each prompt (system prompt + conversation history) is served from the prompt cache.
$538.00$66.54DeepSeek V4.1 Flash 88% cheaper
Meeting notes
10,000 meetings a month summarized from ~12,000-token transcripts, ~1,000 output tokens each.
$340.00$48.00DeepSeek V4.1 Flash 86% cheaper
Bulk translation
200,000 short translations a month, ~800 input and ~800 output tokens each.
$1,920$240.00DeepSeek V4.1 Flash 88% cheaper
Content moderation
1,000,000 classifications a month, ~400 input tokens and ~80 output tokens each.
$1,600$216.00DeepSeek V4.1 Flash 87% cheaper
Article drafting
300 long-form articles a month written from a ~4,000-token brief and outline, ~5,000 output tokens each.
$17.40$2.16DeepSeek V4.1 Flash 88% cheaper
Code review bot
30,000 pull-request reviews a month, ~5,000 input tokens each (30% cached repository context) and ~700 output tokens.
$429.00$56.97DeepSeek V4.1 Flash 87% cheaper
Invoice extraction
100,000 documents a month parsed into structured JSON, ~1,200 input and ~250 output tokens each.
$490.00$66.00DeepSeek V4.1 Flash 87% 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.

Interactive Estimator

Claude Sonnet 5.5 vs DeepSeek V4.1 Flash 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.

Claude Sonnet 5.5 pricing notes

Anthropic’s fast mid-tier model, successor to Claude Sonnet 5 at the same price.

  • Cache writes cost $2.50 (5-minute cache) or $4 (1-hour cache) per 1M tokens.
  • US-only inference (inference_geo: "us") costs 1.1x.
Anthropic official pricing ↗

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.
  • Served by model version DeepSeek-V4.1-Flash-1017; the legacy names deepseek-v4-flash and deepseek-v4-flash-vision-exp route to it at the same price.
  • Web Search and Fetch cost $0.75 per 1,000 successful requests each; calls made through Claude Code, Codex or DeepSeek Harness are free until November 1, 2026.
DeepSeek official pricing ↗

Frequently asked questions

Is Claude Sonnet 5.5 cheaper than DeepSeek V4.1 Flash?
DeepSeek V4.1 Flash is 85% cheaper on input tokens ($0.30 vs $2.00 per 1M). DeepSeek V4.1 Flash is 88% cheaper on output tokens ($1.20 vs $10.00 per 1M). On our document Q&A workload (50,000 questions a month), DeepSeek V4.1 Flash costs $156.00 a month versus $1,100 for Claude Sonnet 5.5, 86% less.
Which is more capable, Claude Sonnet 5.5 or DeepSeek V4.1 Flash?
Claude Sonnet 5.5 scores 164.4 on the Epoch Capabilities Index vs 155.6 for DeepSeek V4.1 Flash.
How much does Claude Sonnet 5.5 cost per 1M tokens?
Claude Sonnet 5.5 costs $2.00 per 1M input tokens and $10.00 per 1M output tokens, and $0.20 per 1M cached input tokens on Anthropic’s standard tier.
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.
Which has the larger context window, Claude Sonnet 5.5 or DeepSeek V4.1 Flash?
Both offer a 1M-token context window.

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