Claude Opus 5
by Anthropic · anthropic/claude-opus-5 · #388 cheapest of 422 paid models
Prices updated Sep 20, 2026, 12:34 AM UTC · refreshed hourly
Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis...
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 5 with prompt caching.
| Cache hit rate | Effective blended $/1M | Example 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
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.01 | $10.00 |
| Document summary | 8,000 | 1,000 | $0.065 | $65.00 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.2 | $200.00 |
| Long-context analysis | 150,000 | 5,000 | $0.875 | $875.00 |
Performance
Intelligence Index
50.8
AA composite quality
Coding Index
78
Math Index
—
Agentic Index
56.2
Output speed
54 tok/s
median
Time to first token
27.35s
median
Time to first answer
27.35s
after reasoning tokens
Artificial Analysis benchmarks
| Benchmark | Score |
|---|---|
| GPQA Diamond | 93.2% |
| Humanity's Last Exam | 54.9% |
| SciCode | 56.4% |
| AA-LCR (Long Context Reasoning) | 79.3% |
| Terminal-Bench 2.1 | 89.1% |
| τ³-Bench Banking | 42.1% |
Design Arena Elo
| Category | Elo |
|---|---|
| Website | 1,321 |
| Web apps | 1,278 |
| Full-stack | 1,312 |
| Mobile apps | 1,348 |
| Android native | 1,265 |
| UI components | 1,358 |
| Data viz | 1,353 |
| SVG | 1,346 |
| 3D | 1,360 |
| Game dev | 1,362 |
| Agentic game dev | 1,261 |
| Godot game dev | 1,275 |
| Python→PPTX slides | 1,265 |
| Code categories | 1,338 |
| ASCII art | 1,390 |
Specs
Context window
1M
tokens
Max output
128K
tokens
Input modalities
text, image, file
Tokenizer
Claude