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#103

Claude Sonnet 5.5

Anthropic Release: 2026-09-29 Tested on: 2026-10-01 09:21 anthropic/claude-sonnet-5.5::high
~1T total (~100B active)MoEClosedEstimated

Summary

Claude Sonnet 5.5 scores 8.6 on AI BENCHY and ranks #103. It has 10.0 reliability, a 81.2% pass rate, $1.175 total cost, and 10.79s average response time.

Model facts

Researched on 2026-09-29

Estimated
Parameters
~1T total (~100B 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 estimates carry forward the prior Claude Sonnet 5 family estimates; the announcement establishes identity and API availability, not these counts. Thinking is always on; OpenRouter lists low, medium, high, xhigh, and max efforts.

Score

8.6

Consistency

8.3

Total Output Tokens

48,293

Total Input Tokens

345,687

Input Price

$2.000 / 1M

Output Price

$10.000 / 1M

Cache Read Price

$0.200 / 1M

Cache Write Price

$2.500 / 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: 7

Attempt pass rate: 81.2%

Flaky tests

5

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

Response Time (avg)

10.79s

Response Time (max): 51.53s

Response Time (total): 248.22s

Hamster playing table tennis

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

#103 Claude Sonnet 5.5

high
Cost
$0.088
Time
73.5s
Tokens
8,914 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 $2.000 / 1M $10.000 / 1M $0.200 / 1M $2.500 / 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 8.2 6.9
Data parsing and extraction 7.3 5.8
Domain specific 3.5 4.4
General Intelligence 6.5 3.4
Instructions following 9.9 10.0
Puzzle Solving 10.0 10.0
Tool Calling 10.0 10.0
Trivia 3.0 10.0

Compared models