Claude Opus 4.7 (batch)
by Anthropic · anthropic/claude-opus-4.7:batch · #371 cheapest of 422 paid models
Prices updated Sep 20, 2026, 12:34 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
$2.50
per 1M tokens
Output
$12.50
per 1M tokens
Blended (3:1)
$5.00
3 input : 1 output
Cache read
$0.25
per 1M cached tokens
Cache write
$3.13
per 1M tokens
Cache & batch economics
Effective prices for Claude Opus 4.7 (batch) with prompt caching.
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $5.00 | $0.2675 | — |
| 50% | $4.16 | $0.155 | −42% |
| 90% | $3.48 | $0.065 | −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
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.005 | $5.00 |
| Document summary | 8,000 | 1,000 | $0.0325 | $32.50 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.1 | $100.00 |
| Long-context analysis | 150,000 | 5,000 | $0.4375 | $437.50 |
Performance
Intelligence Index
40.7
AA composite quality
Coding Index
73.6
Math Index
—
Agentic Index
39.5
Output speed
0 tok/s
median
Time to first token
0s
median
Time to first answer
0s
after reasoning tokens
Artificial Analysis benchmarks
| Benchmark | Score |
|---|---|
| GPQA Diamond | 91.4% |
| Humanity's Last Exam | 42.3% |
| IFBench | 58.6% |
| AA-LCR (Long Context Reasoning) | 78.7% |
| Terminal-Bench Hard | 51.5% |
| Terminal-Bench 2.1 | 83.1% |
| τ²-Bench (Telecom) | 88.6% |
| τ³-Bench Banking | 34.6% |
Specs
Context window
1M
tokens
Max output
128K
tokens
Input modalities
text, image, file
Tokenizer
Claude