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uxwizz.com
#24

Claude Opus 5.5

Anthropic Release: 2026-09-23 Tested on: 2026-09-30 23:15 anthropic/claude-opus-5.5::high
~5T total (~500B active)MoEClosedEstimated

Summary

Claude Opus 5.5 scores 9.4 on AI BENCHY and ranks #24. It has 10.0 reliability, a 87.0% pass rate, $2.133 total cost, and 27.55s average response time.

Model facts

Researched on 2026-09-23

Estimated
Parameters
~5T total (~500B active)
Architecture
MoE
Availability
Closed
License
-

Best estimate from public evidence; the vendor did not disclose every value. Vendor does not disclose parameter counts or architecture. Low-confidence catalog estimate carries forward the prior anthropic/claude-opus-5 family estimate; the linked announcement establishes identity and availability, not these counts.

Score

9.4

Consistency

9.3

Total Output Tokens

42,782

Total Input Tokens

319,095

Input Price

$4.000 / 1M

Output Price

$20.000 / 1M

Cache Read Price

$0.200 / 1M

Cache Write Price

$5.000 / 1M

Cache prices apply to input tokens. Reads reuse cached prompts; writes store them and can cost extra. Output tokens use the output price.

Tests Correct

Wrong Tests: 4

Attempt pass rate: 87.0%

Flaky tests

2

Flaky tests had mixed outcomes across runs (at least one pass and one fail).

Response Time (avg)

27.55s

Response Time (max): 95.95s

Response Time (total): 633.73s

Hamster playing table tennis

Prompt: Create a detailed SVG illustration of a hamster playing table tennis.

#24 Claude Opus 5.5

high
Cost
$0.136
Time
75.6s
Tokens
6,934 tok

Price History

Historical pricing data for this model from OpenRouter.

Date Input Price Output Price Cache Read Price Cache Write Price
2026-10-01 18:33 $4.000 / 1M $20.000 / 1M $0.200 / 1M $5.000 / 1M

Charts

Choose the first model, then click a second model to open a side-by-side page.

Total Output Tokens

Score vs Total Output Tokens

Quick Compare

Category Breakdown

Category Score Consistency Tests Correct
Agentic 10.0 10.0
Anti-AI Tricks 10.0 10.0
Coding 10.0 10.0
Combined 10.0 10.0
Data parsing and extraction 10.0 10.0
Domain specific 5.3 7.2
General Intelligence 10.0 10.0
Instructions following 10.0 10.0
Puzzle Solving 8.7 7.7
Tool Calling 10.0 10.0
Trivia 3.0 10.0

Compared models