Claude Opus 4.8
by Anthropic · anthropic/claude-opus-4.8 · #297 cheapest of 325 paid models
Prices updated Jul 22, 2026, 2:41 AM UTC · refreshed hourly
Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token...
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 4.8 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
55.7
AA composite quality
Coding Index
74.3
Math Index
—
Agentic Index
47.2
Output speed
64 tok/s
median
Time to first token
30.25s
median
Time to first answer
30.25s
after reasoning tokens
Artificial Analysis benchmarks
| Benchmark | Score |
|---|---|
| GPQA Diamond | 92.0% |
| Humanity's Last Exam | 45.7% |
| SciCode | 53.5% |
| IFBench | 62.2% |
| AA-LCR (Long Context Reasoning) | 67.7% |
| Terminal-Bench Hard | 58.3% |
| Terminal-Bench 2.1 | 84.6% |
| τ²-Bench (Telecom) | 94.4% |
| τ³-Bench Banking | 27.6% |
Design Arena Elo
| Category | Elo |
|---|---|
| Website | 1,268 |
| Web apps | 1,280 |
| Full-stack | 1,310 |
| Mobile apps | 1,280 |
| Android native | 1,336 |
| UI components | 1,280 |
| Data viz | 1,271 |
| SVG | 1,225 |
| 3D | 1,272 |
| Game dev | 1,302 |
| Agentic game dev | 1,262 |
| Godot game dev | 1,241 |
| HTML slides | 1,235 |
| PPTX slides | 1,306 |
| Python→PPTX slides | 1,298 |
| Agentic slides | 1,294 |
| Agentic HTML slides | 1,227 |
| Agentic slides (HTML) | 1,230 |
| Agentic slides (Python PPTX) | 1,310 |
| Code categories | 1,270 |
| ASCII art | 1,305 |
Specs
Context window
1M
tokens
Max output
128K
tokens
Input modalities
text, image, file
Tokenizer
Claude