Opus 5 Tops Artificial Analysis Intelligence Leaderboard Across Key Metrics
Opus 5 is currently #1 on Artificial Analysis Intelligence Leaderboard
We have updated the Artificial Analysis Intelligence Index to include nine rigorous evaluations, ranging from GDPval-AA v2 to AA-LCR. Our new data reveals how leading models like Opus 5 perform against benchmarks for reasoning, agentic work, and knowledge reliability. We also break down the cost per task, token usage, and latency to help you choose the most efficient AI for your specific business needs.
AA-Omniscience Index measures knowledge reliability and hallucination by rewarding correct answers, penalizing hallucinations, and having no penalty for refusing to answer.
- andy99
#1 in a very close race is way less useful when you have to walk on eggshells to avoid triggering censorship (“safeguards”) that either refuse or knock it down to another model. I’ve almost completely stopped using Claude (except some legacy workflows) for this reason, reliability matters more than scoring 61 instead of 57. To me Claude is the most compromised and unreliable model (between the censorship and the id checking - which I have not experienced personally), it’s not worth whatever slight benchmaxxing they did for the latest release.
- chmod775
The more interesting finding is that it's still the second most expensive model (after Fable 5) by a long shot.
At least two models (GPT-5.6, Kimi K3) match its score (~1-2% diff) for half the cost.
- didibus
What's interesting is this:
The top AI models by Intelligence Index are: 1. Claude Opus 5 (Adaptive Reasoning, Max Effort) (61), 2. Claude Opus 5 (Adaptive Reasoning, Xhigh Effort) (60), 3. Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) (60), 4. GPT-5.6 Sol (max) (59), and 5. Claude Opus 5 (Adaptive Reasoning, High Effort) (59).
Which means Opus5 at Xhigh is still smarter than Sol at max, and Opus5 at High is equal to Sol at max.
That would make Opus5 High same as Sol max, and now I wonder what the price and speed difference between those is?
- firasd
Very interesting that one of the components is "AA-Omniscience Index"
AA-Omniscience Index (higher is better) measures knowledge reliability and hallucination. It rewards correct answers, penalizes hallucinations, and has no penalty for refusing to answer.
This seems to be a good proxy for param size/density and the ranking breaks down as such: Claude Fable 5 (with fallback), Gemini 3.1 Pro Preview, Claude Opus 5 (Max), Grok 4.6 (high), Gemini 3.6 Flash, GPT 5.6 Sol (Max)
I've thought for a while that Gemini 3.x has 'big model smell'
- aarondong
Before getting too excited, take a look at the intelligence vs cost matrix: https://artificialanalysis.ai/models?intelligence-index-toke...
- nu11ptr
I don't have a horse in this race, but to me this makes GPT-5.6 Sol Max look better. It is about half the cost for nearly the exact same performance. It just goes to show how expensive Fable really is when Opus 5 is still this expensive relative to GPT 5.6.
- kristopolous
I posted this before but I have a really simple shell tool to keep up with these charts over at
https://github.com/day50-dev/aa-eval-email
This also works
$ curl day50.dev/art-analysis.sh | bash
Artificial analysis knows about my tool and I'm working with them on getting their API improved.
- zormino
I'd be curious to see the results, especially with some models having 1.5m and 2m context sizes, if the first 75% of the context was filled with unrelated info.