AiCostCompare

Claude Opus 4.7

by Anthropic · anthropic/claude-opus-4.7 · #298 cheapest of 325 paid models

Prices updated Jul 22, 2026, 2:41 AM UTC · refreshed hourly

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...

Compare vs:GPT-5.6 SolGPT-5.6 TerraGPT-4.1GPT-4.1 Mini

Pricing

Input

$5.00

per 1M tokens

Output

$25.00

per 1M tokens

Blended (3:1)

$10.00

3 input : 1 output

Cache read

$0.50

per 1M cached tokens

Cache write

$6.25

per 1M tokens

Cache & batch economics

Effective prices for Claude Opus 4.7 with prompt caching.

Cache hit rateEffective blended $/1MExample request*vs no cache
0%$10.00$0.535
50%$8.31$0.31−42%
90%$6.96$0.13−76%

*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates for this provider’s batch API. Confirm on the vendor’s pricing page.

What a request costs

WorkloadInput tokensOutput tokensCost / requestCost / 1K requests
Short chat message500300$0.01$10.00
Document summary8,0001,000$0.065$65.00
Codebase question (RAG)30,0002,000$0.2$200.00
Long-context analysis150,0005,000$0.875$875.00

Performance

Intelligence Index

53.5

AA composite quality

Coding Index

73.6

Math Index

Agentic Index

44.4

Output speed

61 tok/s

median

Time to first token

21.70s

median

Time to first answer

21.70s

after reasoning tokens

Artificial Analysis benchmarks

BenchmarkScore
GPQA Diamond91.4%
Humanity's Last Exam39.6%
SciCode54.5%
IFBench58.6%
AA-LCR (Long Context Reasoning)70.3%
Terminal-Bench Hard51.5%
Terminal-Bench 2.183.1%
τ²-Bench (Telecom)88.6%
τ³-Bench Banking28.9%

Design Arena Elo

CategoryElo
Website1,322
Web apps1,311
Full-stack1,503
Android native1,266
UI components1,345
Data viz1,315
SVG1,272
3D1,304
Game dev1,336
Agentic game dev1,259
Godot game dev1,266
HTML slides1,240
PPTX slides1,333
Python→PPTX slides1,336
Agentic slides1,334
Agentic HTML slides1,243
Agentic slides (HTML)1,242
Agentic slides (Python PPTX)1,331
Code categories1,321
ASCII art1,326

Specs

Context window

1M

tokens

Max output

128K

tokens

Input modalities

text, image, file

Tokenizer

Claude