Compare

o4 vs Claude Haiku 4.5

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

Verdict

Claude Haiku 4.5 is ~16.4× cheaper on a 3:1 input:output blend.

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

Anthropic

Fast, cheap, and smart enough for most routing and extraction tasks. Great base model for subagents.

Sub-second latency10x cheaper than OpusStrong structured output

Pricing

Input / 1M$15.00$0.80

Output / 1M$60.00$4.00

Context200K200K

Max output100K16K

LicenseProprietaryProprietary

Released2026-02-182025-10-01

Benchmarks

LMSYS ELO—1305.0

MMLU Pro93.881.4

HumanEval92.387.0

SWE-Bench68.049.2

MATH96.276.8

GPQA82.5—

IFEval—87.3

Per-task cost

Summarize a 1-hour meeting transcript$0.255$0.014

Review a 500-line pull request$0.240$0.014

Answer a customer support ticket$0.093$0.0056

Extract structured data from a resume$0.135$0.0080

Debug a stack trace with context$0.210$0.013

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

Add up to four models, tweak tasks live.