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AI Models

Explore and compare the most powerful AI models available today

334 models tracked58 providers292 LMArena-rankedspec data verified through Nov 3, 2026

Quality vs Price

The highest LMArena Elo reached in each band of API input price (USD per million tokens). Only models with both a published price and an Elo are counted.

  1. 1480
    Under $0.50MiMo V2.6 Pro95 models
  2. 1496
    $0.50–1Gemini 3.8 Flash28 models
  3. 1528
    $1–2Gemini 4 Carbon47 models
  4. 1509
    $2–5Claude Opus 5.527 models
  5. 1504
    $5–10Claude Fable 5.13 models
  6. 1448
    $10+Claude Opus 4.15 models

Bars start at 1410 Elo so the gaps between bands are visible. Bar colour is the model maker's logo colour.

GPT-Rosalind logo

GPT-Rosalind

OpenAI · Coding

GPT-Rosalind is OpenAI's model for life sciences research. OpenAI describes it as combining specialised biological reasoning with scientific tool use, for target research, genomics and sequencing analysis, protein and sequence analysis, medicinal chemistry, literature synthesis, wet-lab troubleshooting and experiment planning. Access is limited to approved organisations through OpenAI's trusted-access programme; approved customers can use it in ChatGPT and Codex, and through the API where separately approved. In the API it is listed as gpt-rosalind-research and gpt-rosalind-discovery, at $5 per million input tokens and $25 per million output. US university labs can apply through the Rosalind Academic Plan, announced on 15 October 2026, which does not include API access.

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Showing 109–120 of 334 models

Frequently asked questions

Where do the scores on this site come from?+

Every score is somebody else’s published measurement, named where it appears. Rankings are LMArena Elo - a blind head-to-head human preference rating, shown with the date it was read. Benchmark percentages come from Epoch AI and from each benchmark’s own leaderboard. This site no longer publishes a score of its own: an editorial 0-100 index sat here until 13 September 2026 and was removed, because an opinion rendered as a number is hard to tell from a measurement.

Where does the pricing and spec data come from?+

Pricing, context windows and capability specs are read from each vendor's own documentation rather than aggregators. Every model page links the source it was read from and shows when the figures were last checked, so you can verify them yourself.

How do I compare two or more models?+

Use the compare icon on any model card to build a side-by-side comparison, or open one of the category comparisons under Comparisons. The spec table has presets (best value, cheapest, heavy workload) and a "differences only" view that hides rows where all selected models are identical.

Which AI model should I choose?+

It depends on your workload and budget, which is why this page plots quality against price. High-volume, cost-sensitive tasks usually favor cheaper models near the top-left of the value map; complex agentic or coding work tends to justify frontier-priced models. The editorial guide on each model page covers the trade-offs in detail.