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LLMLearner
Compare LLMs with evidence, not vibes
A reference site for comparing large language models on specifications, published benchmark results, and API pricing with traceable sources.
Overview
The LLMLearner homepage
LLMLearner tracks large language models, their benchmark results and API prices, making every number traceable to its source. The platform lets users compare up to 1,080 models on parameters, context windows, modalities, licensing, published benchmark scores and API pricing. It includes tools for side-by-side model comparisons, benchmark leaderboards, coding-specific guides, and an API cost calculator to estimate monthly spending based on real workloads. All data comes from provider documentation, model cards and published results, with evaluation modes and conditions clearly labeled instead of blended into single scores.
Capabilities
- Compare up to 1,080 language, vision and embedding models
- Track 279 benchmarks with 7,082 results
- Side-by-side model comparison tool
- Model Leaderboard ranked by benchmark performance
- API Cost Calculator for workload estimation
- Coding-specific model guides
- Benchmark explorer with evaluation conditions
- Traceable source links for all data
- Community notes and ratings on model pages
- API price verification with dates
Pricing
Pricing model: Free
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LLMLearner fact sheet
| Community votes | 0 |
|---|---|
| Website | llmlearner.com |
LLMLearner metrics
Vendor metrics for llmlearner.com: Ahrefs Domain Rating and Majestic link data, with the delta since the last review.
- Domain Rating
- 11
- +1 (up) since last check
- Trust Flow
- 17
- no change since last check
- Citation Flow
- 40
- no change since last check
- Referring domains
- 33
- no change since last check
- External backlinks
- 11,032
- no change since last check
Vendor Domain Rating (Ahrefs) checked 6 Nov 2026, spec changed 4 Nov 2026. Vendor topic: Health/Medicine (17). Vendor Majestic data checked 25 Oct 2026, spec changed 25 Oct 2026. Link metrics supplied by Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.
LLMLearner vendor domain
Open the vendor record
We read this from the registry's RDAP record on 2 Nov 2026, 13:51 UTC.
- Domain age
- 3 years
- Registered
- Expires
- Registrar
- GoDaddy.com, LLC
- DNSSEC
- Not signed
LLMLearner post-launch report
| Measure | At launch, then latest |
|---|---|
| Domain Rating (Ahrefs) | 9 to 11 +2 (up) since launch 25 Oct 2026, then 6 Nov 2026 |
| Trust Flow (Majestic) | 17 first measured 25 Oct 2026 |
| Referring domains (Majestic) | 33 first measured 25 Oct 2026 |
Day 11 since launch. Next receipt: day 30, 24 Nov 2026. Many things move these figures, so a change is not proof of cause. Only stored readings are shown.
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Buyer questions
Where does LLMLearner get its data from?
Model specifications come from provider announcements, model cards or documentation. Benchmark results are entered as published by model providers or benchmark maintainers with their evaluation mode and source links where available. API prices are verified by hand against provider pricing pages and dated.
How does LLMLearner compare results between models?
A score only means something when measured the same way. Leaderboards show the evaluation mode beside every result because thinking-mode scores are not directly comparable to standard-mode ones. Head-to-head comparisons count a shared benchmark only when both results use comparable metrics and setup.
Who runs LLMLearner?
LLMLearner is the English site powered by DataLearner, an open AI data platform created by faculty and students of the Electronic Commerce Research Institute at Hefei University of Technology.
How are unreleased models handled on LLMLearner?
Unreleased models appear only on Rumor Watch and their own labeled pages without unconfirmed specifications, prices or scores, and are excluded from leaderboards and comparisons.
How can I report an error on LLMLearner?
Email admin@llmlearner.com with the page URL, the value you believe is wrong, and a link to the source showing the correct information. You can also reach them on X at @LLMLearnerAI.
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- Demo video (locked)
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