AI BENCHY
Advertise here
#42

Claude Opus 4.6

Anthropic Release: 2026-02-05 Tested on: 2026-04-11 01:44 anthropic/claude-opus-4.6::medium
~5T total (~500B active)MoEClosedEstimated

Summary

Claude Opus 4.6 scores 7.6 on AI BENCHY and ranks #42. It has N/A reliability, a 70.4% pass rate, $1.446 total cost, and 21.08s average response time.

What makes Claude Opus 4.6 unique: It stands out most in General Intelligence, where it ranks #1, while Anti-AI Tricks is its weakest area at #18.

Model facts

Researched on 2026-08-12

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

Best estimate from public evidence; the vendor did not disclose every value. External industry estimate; vendor has not disclosed the architecture.

Score

7.6

Consistency

9.1

Reliability

N/A

Total Output Tokens

48,767

Total Input Tokens

0

Input Price

$5.000 / 1M

Output Price

$25.000 / 1M

Tests Correct

Wrong Tests: 6

Attempt pass rate: 70.4%

Flaky tests

2

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

Response Time (avg)

21.08s

Response Time (max): 83.40s

Response Time (total): 231.84s

Hamster playing table tennis

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

#42 Claude Opus 4.6

medium
Invalid SVG
Cost
$0.000
Time
300.0s
Tokens
0 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-08-14 02:08 Re-test 7.7 10.0 $2.961 Compare
2026-07-16 22:31 New test added 7.7 10.0 $3.059 Compare
2026-06-04 13:45 New test added 7.0 10.0 $2.053 Compare
2026-05-22 00:17 Suite changed 7.2 10.0 $1.896 Compare
2026-04-11 01:44 First recorded run 7.6 N/A $1.446 Current run

Run comparison

RunBenchmark coverageScoreConsistencyReliabilityTests CorrectFlaky testsTotal Output TokensTotal Input TokensTotal CostResponse Time (avg)
2026-04-11 01:44 · First recorded run54/54 attempts7.69.1N/A12/18248,7670$1.44621.08s
2026-05-22 00:17 · Suite changed60/60 attempts7.29.110.012/20265,8140$1.89625.44s
Difference+0.40.000-170470-$0.451-4362ms

Benchmark coverage differs: 54/54 attempts (Target: 3 repeats per test) versus 60/60 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 6.4 5.8
Coding 10.0 10.0
Combined 10.0 10.0
Data parsing and extraction 10.0 10.0
Domain specific 3.0 10.0
General Intelligence 10.0 10.0
Instructions following 10.0 10.0
Puzzle Solving 7.7 10.0
Tool Calling 10.0 10.0

Compared models