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Anthropic

Claude Opus 5

ReasoningClosed weights
Intelligence
39.4
Rank 74 of 751 measured models
Coding
66.9
Rank 65 of 298 measured models
Output speed
53.9 t/s
Rank 330 of 411 measured models
Price/1M
$10
Rank 633 of 677 measured models
Context window
1M
Rank 89 of 1256 measured models
Cost per task
$1.10
Rank 141 of 200 measured models

Claude Opus 5 (Low) scores 39.4 on the Artificial Analysis Intelligence Index, ranking 74th of 751 measured models. The closest models on this index are Muse Spark 1.2 (Xhigh) (39.6), DeepSeek V4.1 Flash (39.5), and Gemini 3.7 Flash (39.1). At $10 per million tokens (3:1 input/output blended price), it is more expensive than Muse Spark 1.2 (Xhigh) ($2), DeepSeek V4.1 Flash ($0.525), and Gemini 3.7 Flash ($1.50). With an output speed of 53.9 t/s, it is slower than Muse Spark 1.2 (Xhigh) (288 t/s), DeepSeek V4.1 Flash (209 t/s), and Gemini 3.7 Flash (383 t/s).

Artificial Analysis Indices
Low
Intelligence39.4
Rank 74 of 751 measured models
Coding66.9
Rank 65 of 298 measured models
Agentic36.0
Rank 57 of 190 measured models
Reasoning levels
Each point is a reasoning level of this model: more reasoning often raises the score but costs more. Select a point to open that level.
Intelligence Indexmost efficient ↗Cost per task
Capability indexes
Performance in specific industries, measured by Artificial Analysis
Finance & Accounting43.8
Rank 62 of 226 measured models
Strategy & Ops46.2
Rank 62 of 226 measured models
Legal47.8
Rank 51 of 226 measured models
Healthcare & Medical38.8
Rank 68 of 173 measured models
Engineering42.5
Rank 59 of 225 measured models
Economics50.0
Rank 58 of 233 measured models
Standard Benchmarks
GPQA Diamond88.9%
Rank 88 of 620 measured models
HLE43.4%
Rank 58 of 671 measured models
SciCode49.2%
Rank 120 of 238 measured models
AA-LCR81.3%
Rank 56 of 582 measured models
Terminal-Bench 2.176.4%
Rank 61 of 245 measured models
Terminal-Bench v426.3%
Rank 51 of 225 measured models
τ-Bench Banking30.3%
Rank 67 of 211 measured models
Models at a similar level
The closest models on the Intelligence Index, one configuration per family.

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