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o4 vs Claude Opus 4.7
OpenAI vs Anthropic. Specs, benchmarks, and real per-task cost — all in one page.
Verdict
o4 is ~1.1× cheaper on a 3:1 input:output blend.
OpenAI
o4Deep-reasoning model. Spends more tokens thinking to crush math, science, and hard coding problems.
State-of-the-art math and scienceExtremely high-ceiling reasoning
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$15.00$15.00
Output / 1M$60.00$75.00
Context200K1.0M
Max output100K64K
LicenseProprietaryProprietary
Released2026-02-182026-03-12
Benchmarks
LMSYS ELO—1412.0
MMLU Pro93.892.8
HumanEval92.394.4
SWE-Bench68.072.1
MATH96.289.3
GPQA82.566.4
MMMU—79.2
IFEval—92.1
Per-task cost
Summarize a 1-hour meeting transcript$0.255$0.263
Review a 500-line pull request$0.240$0.270
Answer a customer support ticket$0.093$0.105
Extract structured data from a resume$0.135$0.150
Debug a stack trace with context$0.210$0.240
Per-call cost using published token counts for each task. Real-world prompts vary.