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Claude Opus 4.7 vs o4

Anthropic vs OpenAI. Specs, benchmarks, and real per-task cost — all in one page.

Verdict

o4 is ~1.1× cheaper on a 3:1 input:output blend.

Anthropic

Anthropic’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

OpenAI

Deep-reasoning model. Spends more tokens thinking to crush math, science, and hard coding problems.

State-of-the-art math and scienceExtremely high-ceiling reasoning

Pricing

Input / 1M$15.00$15.00

Output / 1M$75.00$60.00

Context1.0M200K

Max output64K100K

LicenseProprietaryProprietary

Released2026-03-122026-02-18

Benchmarks

LMSYS ELO1412.0—

MMLU Pro92.893.8

HumanEval94.492.3

SWE-Bench72.168.0

MATH89.396.2

GPQA66.482.5

MMMU79.2—

IFEval92.1—

Per-task cost

Summarize a 1-hour meeting transcript$0.263$0.255

Review a 500-line pull request$0.270$0.240

Answer a customer support ticket$0.105$0.093

Extract structured data from a resume$0.150$0.135

Debug a stack trace with context$0.240$0.210

Per-call cost using published token counts for each task. Real-world prompts vary.

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