As of October 20, 2026, Anthropic Claude Opus 4.5 ranks #54 of 213 models overall with 29.1 on the Artificial Analysis Intelligence Index. Its strongest category is knowledge, where it ranks #29 of 147. Anthropic Claude Opus 4.5 costs $5.00 per million input tokens and $25.00 per million output tokens. It was released on November 24, 2025.
Its output price ranks 327 of 349 priced models, counting from the cheapest.
Cite this page:LLMBenchmark.ai, "Claude Opus 4.5 Benchmarks, Pricing & Specs (October 2026)", https://llmbenchmark.ai/models/claude-opus-4-5, accessed October 20, 2026.
Coding index66.8Partial, 2 benchmarks
Cost per solved task$1.37One SWE-bench Verified task, solved
Output, per million tokens$25.00327 of 349 from the cheapest
Input, per million tokens$5.00OpenRouter list price
Context window200KTokens per request
About and specs
Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers strong multimodal capabilities, competitive performance across real-world coding and...
API model idanthropic/claude-opus-4.5
Tool callingListed
Structured outputsListed
JSON modeListed
Reasoning modeListed
Web searchNot listed
Takes in
Files, Images, Text
Gives back
Text
Context window
200K tokens
Max output
64K tokens
Knowledge cutoff
May 2025, per Anthropic model documentation
Cached input $/Mtok
$0.50
Cache write $/Mtok
$6.25
Reasoning $/Mtok
Not priced apart
Web search, per request
$0.01
Tokenizer
Claude
Requests moderated
Yes, by the provider
Withdrawn on
No date announced
Parameters
Not published
Downloads, all time
No public weights
Training compute
No estimate published
Output speed
Not measured
Time to first token
Not measured
Speed on OpenRouter
46 tokens/s via Anthropic, 30-minute median
First token on OpenRouter
1.1 s via Anthropic, 30-minute median
Benchmarks: 106 of 190 measured
The tick on a coding bar is the median of every model measured on it. Outside coding, the place is this model's rank on that board. A board that never ran the model says so.
Not measured on Design Arena: images, Design Arena: graphic design, Design Arena: logos, LMArena Text to Image, LMArena Image Edit
Public boards shown as published (Vals AI, Artificial Analysis, Design Arena) and kept out of the coding index. Each links to its source on the benchmark page.
Beside a result, many boards publish what the run cost, how long it took, the tokens it spent or the votes behind a rating. Each figure as its board printed it, one board per row.
What each board publishes about the runs behind Anthropic: Claude Opus 4.5's results