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DeepSeek V4 vs Claude Opus 4.7
DeepSeek vs Anthropic. Specs, benchmarks, and real per-task cost — all in one page.
Verdict
Claude Opus 4.7 leads on LMSYS ELO (1412 vs 1334). DeepSeek V4 is ~171.4× cheaper on a 3:1 input:output blend. DeepSeek V4 is open-weights, the other is proprietary.
DeepSeek
DeepSeek V4The shock-the-market moment of 2026. Frontier coding quality at 1/50th the price of Opus.
Unbeatable $/qualityOpen weightsGreat at code
Anthropic
Claude Opus 4.7Anthropic’s frontier reasoning model. Leads SWE-Bench and holds top ranks on long-context coding and agentic workflows.
Best-in-class coding agent behaviorStrong instruction following1M-token context with high recallHigh reliability under tool use
Pricing
Input / 1M$0.14$15.00
Output / 1M$0.28$75.00
Context128K1.0M
Max output16K64K
LicenseOpen weightsProprietary
Released2026-02-202026-03-12
Benchmarks
LMSYS ELO1334.01412.0
MMLU Pro85.492.8
HumanEval91.594.4
SWE-Bench54.172.1
MATH88.789.3
GPQA—66.4
MMMU—79.2
IFEval85.892.1
Per-task cost
Summarize a 1-hour meeting transcript$0.0022$0.263
Review a 500-line pull request$0.0017$0.270
Answer a customer support ticket$0.0006$0.105
Extract structured data from a resume$0.0010$0.150
Debug a stack trace with context$0.0014$0.240
Per-call cost using published token counts for each task. Real-world prompts vary.