Inference Index
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Claude Haiku 4.5 vs Claude Sonnet 4.6

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

Verdict

Claude Sonnet 4.6 leads on LMSYS ELO (1368 vs 1305). Claude Haiku 4.5 is ~3.8× cheaper on a 3:1 input:output blend.

Anthropic
Claude Haiku 4.5

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
Claude Sonnet 4.6

The workhorse. Near-Opus quality at 1/5 the cost. The default choice for production code and agent workloads.

Excellent cost/quality ratioFast inferenceGreat for Cursor/Claude Code
Pricing
Input / 1M$0.80$3.00
Output / 1M$4.00$15.00
Context200K500K
Max output16K64K
LicenseProprietaryProprietary
Released2025-10-012025-11-04
Benchmarks
LMSYS ELO1305.01368.0
MMLU Pro81.488.7
HumanEval87.092.1
SWE-Bench49.264.5
MATH76.885.0
GPQA59.4
MMMU74.1
IFEval87.390.5
Per-task cost
Summarize a 1-hour meeting transcript$0.014$0.052
Review a 500-line pull request$0.014$0.054
Answer a customer support ticket$0.0056$0.021
Extract structured data from a resume$0.0080$0.030
Debug a stack trace with context$0.013$0.048

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