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#47

Claude Sonnet 4.6

Anthropic Release: 2026-02-17 Tested on: 2026-04-11 01:44 anthropic/claude-sonnet-4.6::none
~1T total (~100B active)MoEClosedEstimated
(medium) (none)

Summary

Claude Sonnet 4.6 scores 7.4 on AI BENCHY and ranks #47. It has N/A reliability, a 64.8% pass rate, $0.262 total cost, and 4.98s average response time.

What makes Claude Sonnet 4.6 unique: It stands out most in Domain specific, where it ranks #1, while Anti-AI Tricks is its weakest area at #18. It is notably fast compared with similar models.

Model facts

Researched on 2026-08-12

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.

Score

7.4

Consistency

9.6

Reliability

N/A

Total Output Tokens

7,433

Total Input Tokens

0

Input Price

$3.000 / 1M

Output Price

$15.000 / 1M

Tests Correct

Wrong Tests: 7

Attempt pass rate: 64.8%

Flaky tests

1

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

Response Time (avg)

4.98s

Response Time (max): 23.84s

Response Time (total): 54.83s

Hamster playing table tennis

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

#47 Claude Sonnet 4.6

none
Cost
$0.038
Time
27.3s
Tokens
2,598 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-08-14 02:00 Re-test 7.3 10.0 $0.661 Compare
2026-07-16 22:21 New test added 7.3 10.0 $0.661 Compare
2026-06-04 13:40 New test added 6.8 10.0 $0.316 Compare
2026-05-22 00:12 Suite changed 7.0 10.0 $0.306 Compare
2026-04-11 01:44 First recorded run 7.4 N/A $0.262 Current run

Run comparison

RunBenchmark coverageScoreConsistencyReliabilityTests CorrectFlaky testsTotal Output TokensTotal Input TokensTotal CostResponse Time (avg)
2026-04-11 01:44 · First recorded run54/54 attempts7.49.6N/A11/1817,4330$0.2624.98s
2026-08-14 02:00 · Re-test66/66 attempts7.39.710.012/22119,362123,273$0.6617.67s
Difference+0.1-0.1-10-11929-123273-$0.399-2689ms

Benchmark coverage differs: 54/54 attempts (Target: 3 repeats per test) versus 66/66 attempts (Target: 3 repeats per test). Totals and repeat-sensitive metrics are not directly comparable.

These two runs used different benchmark suites, so the deltas reflect both model changes and suite changes.

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
Anti-AI Tricks 4.8 10.0
Coding 10.0 10.0
Combined 9.5 10.0
Data parsing and extraction 10.0 10.0
Domain specific 7.7 10.0
General Intelligence 6.1 3.1
Instructions following 6.5 10.0
Puzzle Solving 7.7 10.0
Tool Calling 10.0 10.0

Compared models