Artificial Analysis Intelligence Index
Shares rank 8 of 10 AI benchmarks by recommenders
People cite it as one summary score across many benchmarks, and some call it the least terrible ranking of models. The common caveat is that critics say its weighting and updates shift rankings and that many of its benchmarks are now private.
People cite it as one summary score across many benchmarks, and some call it the least terrible ranking of models. The common caveat is that critics say its weighting and updates shift rankings and that many of its benchmarks are now private.
57 people gave an opinion
- recommend it
- 8
- criticize it
- 49
- approval share
- 14%
Recommended in 3 of 13 months
- November 2025: not recommended
- December 2025: not recommended
- January 2026: not recommended
- February 2026: not recommended
- March 2026: not recommended
- April 2026: not recommended
- May 2026: not recommended
- June 2026: not recommended
- July 2026: not recommended
- August 2026: recommended
- September 2026: recommended
- October 2026: recommended
- November 2026: not recommended (month in progress)
Why it doesn’t carry the badge
- 8 people recommend itNeeds 10 or more, not met.
- 0.1 recommenders for every criticNeeds 2 to 1 or better, not met.
- Recommended in 3 of 13 monthsNeeds 4 or more, not met.
The same three rules apply to every product, and the badge can’t be bought. How the badge works
What people say about it
The reasons people give, with the number of comments that give each one. Open a reason to read what they said.
Why people recommend it
Each mark is one comment
Summarizes many benchmarks into one score
“It's appealing to me because it's not just one benchmark but a summary of a collection of benchmarks.”
Comment from 23 Oct 2026 in “Kimi K3.1 Pro and K3.1 Pro Highspeed” “it is a mix of coding and knowledge”
Comment from 5 Sep 2026 in “Artificial Analysis Intelligence Index v4.2” Seen as best ranking so far
“I think it's best ranking of models so far”
Comment from 28 Oct 2026 in “Gemini 4 Carbon” “the AA one is the least terrible”
Comment from 29 Oct 2026 in “Gemini 4 Carbon is the new #1 on the Artificial Analysis Intelligence Index v5”
What people warn about
Each mark is one comment
Rankings swing with each weighting update
“Each time they update their ranking algorithm, the closed models from US labs jump up and any previously high ranking open model jumps down.”
Comment from 29 Oct 2026 in “Gemini 4 Carbon is the new #1 on the Artificial Analysis Intelligence Index v5” “AA immediately made an update to their index calculation that made it lose the top spot. It was very suspicious.”
Comment from 28 Oct 2026 in “Artificial Analysis Intelligence Index v5” “The way Artificial Analysis keeps changing their weights feels kind of like deciding who the winner should be”
Comment from 22 Sep 2026 in “MiMo-v2.6-Pro: Intelligence, Performance and Price Analysis” - Comment from 28 Oct 2026 in “Artificial Analysis Intelligence Index v5”
- Comment from 28 Oct 2026 in “Artificial Analysis Intelligence Index v5”
Benchmarks miss real model strengths
“most of their benchmarks are either not a representation of model strengths enough or they are not doing a good job of showcasing it properly”
Comment from 5 Sep 2026 in “Artificial Analysis Intelligence Index v4.2” “the Artificial Analysis intelligence index is not considered a good metric for intelligence anymore”
Comment from 23 Sep 2026 in “Tokens too cheap to meter” “It still feels off. Probably because the benchmarks its based on aren’t measuring the right things.”
Comment from 29 Oct 2026 in “Gemini 4 Carbon is the new #1 on the Artificial Analysis Intelligence Index v5” - Comment from 26 Jul 2026 in “Opus 5 is currently #1 on Artificial Analysis Intelligence Leaderboard”
Private benchmarks can't be replicated
“apeishly mimicking the features of rigor and methodology while avoiding any real accountability”
Comment from 5 Sep 2026 in “Artificial Analysis Intelligence Index v4.2” “60% of the benchmarks contributing to the AA index are now private, nobody can replicate them.”
Comment from 29 Oct 2026 in “Gemini 4 Carbon is the new #1 on the Artificial Analysis Intelligence Index v5” Suspected bias toward large labs
“They probably prefer being used by the deep-pocketed organizations that have access to Gemini 4 Carbon”
Comment from 29 Oct 2026 in “Gemini 4 Carbon is the new #1 on the Artificial Analysis Intelligence Index v5” “I'm not saying that AA is definitely taking money from the big labs and changing the benchmark”
Comment from 29 Oct 2026 in “Gemini 4 Carbon is the new #1 on the Artificial Analysis Intelligence Index v5”
Other AI benchmarks people recommend
The four most recommended other AI benchmarks, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.
| Product | Recommend | Criticize | Approval | Months | Owned | Badge |
|---|---|---|---|---|---|---|
| Artificial Analysis | 62 | 46 | 57% | 11 | — | — |
| LMArena | 39 | 40 | 49% | 11 | — | — |
| ARC-AGI | 22 | 24 | 48% | 8 | — | — |
| OCR Arena | 11 | 4 | 73% | 4 | — | Approved |
| Artificial Analysis Intelligence IndexThis page | 8 | 49 | 14% | 3 | — | — |
What people said
40 of the 67 comments that mention it, newest first. Each links to the original comment.
“private benchmarks are the only way to prevent benchmaxxing”
“60% of the benchmarks contributing to the AA index are now private, nobody can replicate them.”
“It still feels off. Probably because the benchmarks its based on aren’t measuring the right things.”
“They should work with them at least a little so that we can get an independent read on the model quality.”
“They probably prefer being used by the deep-pocketed organizations that have access to Gemini 4 Carbon”
“the Artificial Analysis index is becoming an increasingly poor measure of capability”
“the updating and addition of tests was delayed to provide advertisement for Kimi K3.1”
“AA should be excluding unreleased models from their benches or risk becoming an irrelevant marketing platform”
“The biggest impact seems to be from adding Terminal-Bench-Science 0.1 and having it contribute 15% to the overall score.”
“the AA one is the least terrible”
“Each time they update their ranking algorithm, the closed models from US labs jump up and any previously high ranking open model jumps down.”
“I'm not saying that AA is definitely taking money from the big labs and changing the benchmark”
“AA immediately made an update to their index calculation that made it lose the top spot. It was very suspicious.”
“AA published their article on Carbon now at the same time so it's absolutely coordinated.”
“AA has also lost all credibility to me with all of their index changes being unannounced”
“I think it's best ranking of models so far”
“IMO it emphasizes the wrong things if we are interested in "intelligence"”
“Their previous updates have sometimes been really bad for Chinese models.”
“This update is even worse than usual because it now includes two private sources”
“Artificial Analysis' approach of aggregating scores in a weighted sum is largely just choosing which noise to amplify more.”
“all 3 of the past updates all had the effects of decreasing the score of open weight models”
“how they can claim their index has relevance if positions can be switched around so easily”
“Artificial Analysis loves to change the benchmark to place US models on the top”
“It's appealing to me because it's not just one benchmark but a summary of a collection of benchmarks.”
“the Artificial Analysis intelligence index is not considered a good metric for intelligence anymore”
“The way Artificial Analysis keeps changing their weights feels kind of like deciding who the winner should be”
“apeishly mimicking the features of rigor and methodology while avoiding any real accountability”
“it is a mix of coding and knowledge”
“they put error bars on their scores, both of which put them miles ahead of Artificial Analysis”
“I find AA’s Intelligence index to often be out of alignment with my own subjective evals.”
“A glance at their new index shows that whatever they're measuring, it isn't useful.”
“Completely discredits the index if it just gets modified to match social media vibes.”
“most of their benchmarks are either not a representation of model strengths enough or they are not doing a good job of showcasing it properly”
“the timing is unfortunate. It would have looked better had it been done prior to the Fable 5.1 and GPT 6 releases”
“there's a major difference between scientific sounding and being truly empirically rigorous”
“I really, really don't find the Artificial Analysis Intelligence Index credible anymore.”
“the Artificial Analysis Index team does not seem to have deep technical or ML backgrounds”
“Their AA Intelligence Index is just simply not indicative of whatever I care about”
“artificial analysis has an index”
“That index really needs harder tasks so that it's not just a benchmark of what model is cheapest”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.