Advertise here
#461

Claude Opus 5.5

Anthropic Release: 2026-09-23 Tested on: 2026-09-23 01:51 anthropic/claude-opus-5.5::none
~5T total (~500B active)MoEClosedEstimated
(high) (medium) (low) (none)

Summary

Claude Opus 5.5 scores 0.2 on AI BENCHY and ranks #461. It has 10.0 reliability, a 4.4% pass rate, $0.015 total cost, and 13.58s average response time.

What makes Claude Opus 5.5 unique: Its total benchmark cost is unusually low for its score range.

Archived model: this model is no longer updated or tested on new tests.

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.

Parameter source Availability source

Score

0.2

Consistency

0.4

Reliability

10.0

Total Cost (Current Price)

$0.015

Total Output Tokens

735

Total Input Tokens

73

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: 0

Attempt pass rate: 4.4%

Flaky tests

0

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

Response Time (avg)

13.58s

Response Time (max): 13.58s

Response Time (total): 13.58s

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

Category Breakdown

Category Score Consistency Tests Correct
Agentic 0.0 0.0
Anti-AI Tricks 0.0 0.0
Coding 0.0 0.0
Combined 0.0 0.0
Data parsing and extraction 0.0 0.0
Domain specific 3.3 3.3
General Intelligence 0.0 0.0
Instructions following 0.0 0.0
Puzzle Solving 0.0 0.0
Tool Calling 0.0 0.0
Trivia 0.0 0.0

Compared models