reasoning

Deepseek R1 vs Claude Opus 4 7

Side-by-side pricing, context window, features, and per-use-case verdict. Data sourced from LiteLLM, updated regularly.

Specifications

Feature Deepseek R1 Claude Opus 4 7
Provider deepseek anthropic
Model ID deepseek/deepseek-r1 claude-opus-4-7
Input / 1M tokens $0.55 (89% cheaper) $5.00
Output / 1M tokens $2.19 (91% cheaper) $25.00
Cached input / 1M $0.50
Context window 66kk tokens 1000kk tokens
Max output 8kk tokens 128kk tokens
Vision
Function calling
Prompt caching
Web search
JSON schema

Monthly cost comparison

No cache discount applied — pure token costs at three usage scales.

Scale Deepseek R1 Claude Opus 4 7 Winner
Small
1M in / 0.2M out
$0.99 $10.00 Deepseek R1 saves 90%
Medium
10M in / 2M out
$9.88 $100 Deepseek R1 saves 90%
Large
100M in / 20M out
$98.80 $1000 Deepseek R1 saves 90%

Category winners

Cheapest input
Deepseek R1
$0.55/M · 89% less than the other
Cheapest output
Deepseek R1
$2.19/M · 91% less than the other
Larger context
Claude Opus 4 7
1000kk tokens · 1426% larger window
More features
Claude Opus 4 7
4 / 5 capabilities

Better for…

High-volume RAG & repeated context
$0.50/M cached input — prompt caching makes repeated context retrieval significantly cheaper
Claude Opus 4 7
Short interactions & high-throughput APIs
$2.19/M output — 91% cheaper on output at scale
Deepseek R1
Long-document processing & large codebases
1000k context window vs 66k — 1426% larger context
Claude Opus 4 7
Agentic workflows & tool use
Supports 4 of 5 tracked capabilities (vision, function calling, caching, web search, JSON schema)
Claude Opus 4 7

Deep-dive on each model

Pricing data sourced from LiteLLM and refreshed regularly. Always verify with each provider's official pricing page before making business decisions.