Claude Opus 4.6 (batch)
by Anthropic · anthropic/claude-opus-4.6:batch · #372 cheapest of 422 paid models
Prices updated Sep 19, 2026, 6:21 PM UTC · refreshed hourly
Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective...
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 4.6 (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
26.4
AA composite quality
Coding Index
—
Math Index
—
Agentic Index
—
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 | 84.0% |
| Humanity's Last Exam | 19.1% |
| IFBench | 44.6% |
| AA-LCR (Long Context Reasoning) | 67.0% |
| Terminal-Bench Hard | 48.5% |
| τ²-Bench (Telecom) | 84.8% |
Design Arena Elo
| Category | Elo |
|---|---|
| Website | 1,303 |
| Web apps | 1,219 |
| Full-stack | 1,229 |
| Mobile apps | 1,238 |
| Android native | 1,216 |
| UI components | 1,300 |
| Data viz | 1,295 |
| SVG | 1,252 |
| 3D | 1,303 |
| Game dev | 1,301 |
| Agentic game dev | 1,215 |
| Code categories | 1,304 |
| ASCII art | 1,273 |
Specs
Context window
1M
tokens
Max output
128K
tokens
Input modalities
text, image, file
Tokenizer
Claude