Picking an AI Model Used to Be a Gut Feeling. Now There's Data.
AI models are dropping so fast this year that nobody can keep track. GPT-5.5 barely landed before Claude Opus 4.7 showed up, Gemini 3.5 just shipped, and Kimi K2.6 is already climbing the charts. Every vendor's press release claims they're "the best," but believing PR copy is rarely a good strategy.
That's exactly why Artificial Analysis exists. It puts every major model in the same exam room, scores them with the same methodology, and tells you who's actually good at what.
Not Just Another Leaderboard
What sets Artificial Analysis apart is that they actually run the tests themselves.
A lot of rankings rely on self-reported numbers or crowdsourced votes. AA built their own evaluation pipeline from scratch and runs every test—reasoning, coding, math, multi-turn chat—in-house. Their Intelligence Index aggregates 10 different evaluations into a single score, which is way more reliable than any single benchmark.
If coding matters to you, the Coding Agent Index goes even deeper. It pulls in SWE-Bench-Pro-Hard, Terminal-Bench, and other agentic coding tasks that actually reflect real-world software engineering.
Price and Speed, Right in the Open
Beyond IQ scores, AA handles pricing and speed comparisons really well.
Every model page shows input/output costs, cached pricing discounts, output speed in tokens/s, and time-to-first-token. For anyone doing API provider selection, this is way more efficient than digging through each vendor's pricing page—how much cheaper is DeepSeek V4 than GPT-5.5? Where does Kimi rank in its price tier? One page, all the answers.
It Has Limits Too
AA's coverage skews toward overseas models. GLM-5.1, the Qwen family, MiniMax—their coverage isn't as deep for these. There's also always a gap between benchmark scores and real-world experience. A model might ace HumanEval but still feel off in your specific use case.
So if you're doing serious model research, I'd suggest pairing AA with our own AI Model Rankings. We factor in real-world usability, Chinese community feedback, and value, then sort everything by a composite score. It's more practical for daily reference.
Bottom line: Artificial Analysis is one of the most transparent AI model evaluation platforms out there. Check it before you pick your next model—it beats reading press releases.
