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#13

Claude Opus 4.8

Anthropic Release: 2026-05-28 Tested on: 2026-07-16 22:32 anthropic/claude-opus-4.8::medium
~5T total (~500B active)MoEClosedEstimated
(medium) (low) (none)

Summary

Claude Opus 4.8 scores 8.8 on AI BENCHY and ranks #13. It has 10.0 reliability, a 84.9% pass rate, $1.931 total cost, and 12.49s average response time.

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

8.8

Consistency

9.6

Total Output Tokens

49,841

Total Input Tokens

138,451

Input Price

$5.000 / 1M

Output Price

$25.000 / 1M

Tests Correct

Wrong Tests: 4

Attempt pass rate: 84.9%

Flaky tests

1

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

Response Time (avg)

12.49s

Response Time (max): 70.54s

Response Time (total): 274.72s

Hamster playing table tennis

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

#13 Claude Opus 4.8

medium
Cost
$0.057
Time
23.1s
Tokens
2,412 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-08-14 02:10 Re-test 8.8 10.0 $1.983 Compare
2026-07-16 22:32 New test added 8.8 10.0 $1.931 Current run
2026-06-30 22:01 Re-test 8.8 10.0 $1.107 Compare
2026-06-04 13:45 New test added 8.7 10.0 $1.107 Compare
2026-05-28 17:34 Initial run 8.7 10.0 $1.006 Compare

This run used a different benchmark suite. Keep suite changes in mind when reading historical movement.

Run comparison

RunBenchmark coverageScoreConsistencyReliabilityTests CorrectFlaky testsTotal Output TokensTotal Input TokensTotal CostResponse Time (avg)
2026-07-16 22:32 · New test added66/66 attempts8.89.610.018/22149,841138,451$1.93112.49s
2026-06-04 13:45 · New test added63/63 attempts8.79.610.017/21132,39661,007$1.1079.66s
Difference+0.10.00.0+10+17445+77444+$0.824+2826ms

Benchmark coverage differs: 66/66 attempts (Target: 3 repeats per test) versus 63/63 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.

Price History

Historical pricing data for this model from OpenRouter.

Date Input Price Output Price
2026-06-04 15:40 $5.000 / 1M $25.000 / 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
Anti-AI Tricks 10.0 10.0
Coding 10.0 10.0
Combined 9.9 10.0
Data parsing and extraction 7.1 5.6
Domain specific 5.3 10.0
General Intelligence 10.0 10.0
Instructions following 10.0 10.0
Puzzle Solving 10.0 10.0
Tool Calling 10.0 10.0
Trivia 3.0 10.0

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