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Claude Haiku 4.5 vs Claude Opus 4.7

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

Verdict

Claude Opus 4.7 leads on LMSYS ELO (1412 vs 1305). Claude Haiku 4.5 is ~18.8× cheaper on a 3:1 input:output blend.

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

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

Pricing

Input / 1M$0.80$15.00

Output / 1M$4.00$75.00

Context200K1.0M

Max output16K64K

LicenseProprietaryProprietary

Released2025-10-012026-03-12

Benchmarks

LMSYS ELO1305.01412.0

MMLU Pro81.492.8

HumanEval87.094.4

SWE-Bench49.272.1

MATH76.889.3

GPQA—66.4

MMMU—79.2

IFEval87.392.1

Per-task cost

Summarize a 1-hour meeting transcript$0.014$0.263

Review a 500-line pull request$0.014$0.270

Answer a customer support ticket$0.0056$0.105

Extract structured data from a resume$0.0080$0.150

Debug a stack trace with context$0.013$0.240

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

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