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Comparison and analysis of AI models across key performance metrics including quality, price, time per task, latency, context window & others.
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Artificial Analysis charts models at max effort by default, but xhigh is cheaper and faster. Auto-updating links to the same chart at xhigh, high or medium effort, plus the top models at each level.
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Loading the full README.
Read the full README ↗Auto-updating links to the Artificial Analysis Intelligence
Index chart at xhigh, high or medium effort instead of its default max, plus a summary of
the top models at each effort level.
Bookmark these. Each redirects to the latest chart.
| View | What changes from the default chart | Link |
|---|---|---|
| xhigh | every max variant becomes xhigh | https://honvl.github.io/artificial-analysis-xhigh/ |
| high | every max and xhigh variant becomes high | https://honvl.github.io/artificial-analysis-xhigh/high/ |
| medium | every max, xhigh and high variant becomes medium | https://honvl.github.io/artificial-analysis-xhigh/medium/ |
A model with no variant at that level stays as it is, and models with no effort setting are
untouched. Add #info to a link to see which models were swapped instead of redirecting. See
Add it to your bookmarks for the easy way to save them.
Artificial Analysis charts Claude, GPT and other models at their max effort by default, and
xhigh is cheaper and faster. Artificial Analysis's own per-task measurements show it for every model
in the default chart that has both variants (snapshot from 2026-10-24, max → xhigh):
| Model | Cost per task (API, then on a subscription) | Time per task | Output tokens per task | Intelligence Index |
|---|---|---|---|---|
| Claude Opus 5.5 | $5.98 → $3.46 (−42%)on Max 20x: $0.132 → $0.076 | −38% | −45% | 57.6 → 56.0 |
| Claude Sonnet 5.5 | $5.46 → $2.01 (−63%)on Max 20x: $0.121 → $0.044 | −55% | −62% | 56.0 → 51.9 |
| Claude Fable 5.1 | $7.63 → $5.98 (−22%)on Max 20x: $0.168 → $0.132 | −18% | −22% | 53.4 → 53.2 |
| Claude Haiku 5.5 | $0.213 → $0.124 (−42%)on Max 20x: $0.0047 → $0.0027 | −31% | −45% | 43.4 → 41.2 |
| GPT-6 Astra | $3.26 → $2.31 (−29%)on ChatGPT: $0.318 → $0.225 | −35% | −38% | 52.7 → 52.4 |
| GPT-6.1 Sol | $0.724 → $0.393 (−46%)on ChatGPT: $0.071 → $0.038 | −50% | −54% | 51.8 → 51.0 |
| GPT-6 Luna | $0.068 → $0.042 (−38%)on ChatGPT: $0.0066 → $0.0041 | −38% | −45% | 38.1 → 34.6 |
The second line in each cost cell is the same cost paid from a subscription: Artificial Analysis's cost divided by how much more usage the plan gives than API list prices. The multipliers, 45.3x for Claude Max 20x ($200 a month), 10.25x for any ChatGPT plan and 80x for SuperGrok plus X Premium+ (used by the chart bars below), were measured by Paweł Huryn by burning real plans. He also re-priced a full run of the whole index this way: Opus 5.5 at max costs $8,708 at API prices but about $192 on Claude Max 20x, nearly a full $200 month, and about $90 at xhigh ($4,057 at API prices). These are one person's estimates, measured on one model per vendor. SemiAnalysis found that what the same $200 Claude plan buys depends on the model and workload, from about 12x for Fable 5.1 to about 63x for Sonnet 5.5, so the Fable 5.1 line in particular is probably too low by a factor of three or four.
xhigh uses 22% to 62% fewer output tokens, which is where the savings come from. The trade-off is a
slightly lower Intelligence Index score, 0.2 to 4.1 points lower in this snapshot. Anthropic's docs
describe max as "absolute maximum capability with no constraints on token spending".
The site does show xhigh scores, but you have to pick every model by hand in its model selector. This repo builds the link that does that for me and keeps it current as the site's default models change. The high and medium links do the same for lower effort levels.
The ten highest-scoring models on the Intelligence Index at each effort level, regenerated every 3 hours. Each chart shows a model at the best setting it has at or below that level:
Every column uses the color Artificial Analysis gives its lab (Anthropic's terracotta, Meta's blue and so on), read from the same page as the scores. Because some lab colors are close, the lab is also named in each column's tooltip and in the table views on the summary page.
The thin dark bar beside a column is what one full run of the index costs on that lab's subscription, using the multipliers described above, read off the dollar axis on the right. It is a different measure from the score, so it has its own scale, and that scale is shared by all four charts so you can see cost fall as effort drops: Opus 5.5 on Claude Max 20x is $192 at max, $90 at xhigh, $48 at high and $36 at medium (2026-10-24). Only labs with a measured multiplier get a bar (Anthropic, OpenAI and xAI), so Google, Meta, Kimi and the rest have none. The exact figures are in the table views on the summary page.
Meta and Google are waiting on a measurement. The only Muse multipliers were taken on Muse Spark 1.3
before Muse Wonder launched, they range from about 11x to 51x for the $50 plan depending on the
source, and they do not carry over to Muse Wonder Full, which users report burns a plan's quota far
faster and which has no API price to divide. Nobody has published a Gemini plan multiplier yet.
Adding either is one line in PLANS in aa_costs.py once there is a number.
This is the beginning of the README. Read the rest at the original. Read the full README ↗