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Model comparison

Compare models side by side

Put any two AI models head-to-head on pricing, context window, capabilities, and best-fit workloads. One page, every dimension that matters - no jumping between provider docs.

125Models to compare 35Labs covered FreeNo login needed
Model A

Search 125 models by name, provider, or lab

Model B

Search 125 models by name, provider, or lab

How it works

1

Search and pick two

Type into either dropdown above. Every model is searchable by name, lab, or capability, so you can line up rivals in seconds.

2

See the full breakdown

Pricing per million tokens, context window, input and output modalities, strengths and weaknesses - laid out in one scannable view.

3

Decide with confidence

Get the numbers that matter for your workload and pick the model that fits, without cross-referencing a dozen provider pages.

Featured comparisons

All models
Claude Fable 5 #1
Claude Opus 4.8 #2
$10.00 per 1M input $15.00 per 1M input
Claude Fable 5 #1
Claude Opus 4.7 #3
$10.00 per 1M input $15.00 per 1M input
Claude Opus 4.8 #2
Claude Opus 4.7 #3
$15.00 per 1M input $15.00 per 1M input
Claude Opus 4.8 #2
Claude Opus 4.5 #5
$15.00 per 1M input $15.00 per 1M input
Claude Opus 4.7 #3
Claude Opus 4.5 #5
$15.00 per 1M input $15.00 per 1M input
GPT-5.6 Sol #4
GPT-5.5 Pro #6
$5.00 per 1M input $30.00 per 1M input
Claude Opus 4.5 #5
Claude Sonnet 5 #7
$15.00 per 1M input $2.00 per 1M input
KAT-Coder-Pro V2.5
KAT-Coder-Air V2.5
$0.74 per 1M input $0.15 per 1M input

Not sure who to compare?

Start from a category Pick a ranked shortlist for coding, reasoning, or long context, then compare the leaders. Compare within a lab Line up two releases from the same maker, or one lab's flagship against a rival's. Browse every model Search the full leaderboard by name, lab, or capability.

Model comparison FAQs

How do I compare two AI models on LMRank?
Pick a model in each dropdown above and select Compare. LMRank builds a side-by-side breakdown of pricing per million tokens, context window, input and output modalities, strengths, weaknesses, and the workloads each model fits best.
Is the comparison tool free to use?
Yes. Every comparison, ranking, and model profile on LMRank is free to use, with no account or login required.
What data goes into each head-to-head?
Each comparison pulls list pricing per million input and output tokens, the published context window, supported modalities, and our editorial notes on strengths and best-fit use cases. Leaderboard rankings come from public benchmark results, refreshed as new models ship.
Which models can I compare?
Any two models tracked on LMRank across every major lab - from flagship proprietary releases to open-weight models you can self-host - as long as you pick two different ones.

How to use the LMRank model comparison tool

The LMRank comparison tool puts two models side by side so you can see exactly where they differ: pricing per million tokens, context window limits, benchmark results, and capability fit across coding, reasoning, and multimodal tasks. Select any two models from the dropdowns above, hit Compare, and the page breaks down every dimension in a clear, scannable layout. No cross-referencing provider pages or digging through benchmark tables; one comparison gives you the numbers that matter for the work you actually do.

Head-to-head comparison is the fastest way to make a real decision. A model that looks cheap can carry a high output price; a model with a huge context window can be slower and pricier per call. Comparing two candidates on the same page surfaces those trade-offs immediately, so you choose on evidence rather than launch-day marketing. Every profile links out to the full model page and its lab, and rankings refresh as new models ship.