Leaderboard alternative
LLM Stats Alternative: BenchLM's Sourced Leaderboard
Searching for LLM stats — rankings, benchmark scores, context windows, API prices? BenchLM covers all of it with citations attached: a verified leaderboard lane, per-benchmark provenance, confidence dots, daily-synced pricing, and free CSV/JSON exports. Start with the overall ranking or the stats hub.
LLM Stats (llm-stats.com) is one of several sites that aggregate model leaderboards, specs, and statistics in one place. If you landed here comparing options, the honest framing is this: aggregators differ mainly in where their numbers come from and how much of that they show you. BenchLM's bet is that every statistic worth publishing is worth sourcing.
As of July 2026, BenchLM tracks frontier and open-weight models across dozens of benchmarks, keeps pricing synced daily, and publishes the whole dataset for reuse — the sections below lay out exactly how that compares.
What LLM Stats does well
LLM Stats does the useful, unglamorous work of aggregation: pulling model specifications, benchmark numbers, and pricing details from across the ecosystem into a single browsable site. For a quick answer to "what is this model's context window" or "roughly where does it rank," a stats aggregator is genuinely convenient — one tab instead of ten provider documentation pages. Sites in this category also tend to cover a broad sweep of models, including smaller releases that dedicated evaluation projects skip, and they present the data plainly without requiring you to understand any particular scoring methodology first. If your need is a fast reference lookup rather than a decision-grade ranking, that model of site serves it well.
When you want an alternative
The moment a statistic influences a real decision — which API to build on, which model to migrate to — the question shifts from "what is the number" to "where did the number come from and how much should I trust it." That is when you want per-score citations, an explicit split between verified and unverified data, freshness metadata that flags stale or saturated benchmarks, and a published methodology you can disagree with. You may also want the data itself: machine-readable exports you can load into a notebook rather than screenshot. If any of those are requirements rather than nice-to-haves, a provenance-first leaderboard is the better tool.
LLM Stats vs BenchLM
| Dimension | LLM Stats | BenchLM |
|---|---|---|
| Ranking method | Aggregated leaderboard and model statistics collected across public sources | Weighted category scores built from published benchmark results, with agentic, coding, and reasoning benchmarks weighted most heavily |
| Verification & provenance | — | Separate verified (sourced-only) and provisional lanes, exact citations on benchmark scores, and 1–3 confidence dots per model |
| Pricing data | Publishes model pricing information | Per-1M-token rates synced daily, provider pricing hubs, price-vs-performance rankings, and a pricing-trends dashboard |
| Open data access | — | CSV/JSON exports of the full leaderboard on /data, plus llms.txt and llms-full.txt for LLM crawlers |
Cells marked "—" mean we do not make claims about that site's coverage rather than that the feature is absent. BenchLM's cells are documented on the methodology page.
What you get on BenchLM
For rankings, the main leaderboard and /best/overall give you both lanes: verified (sourced scores only) and provisional. Each of the dozens of benchmark pagesexplains what the benchmark measures and cites where each model's score was published, and confidence dots summarize how much sourced coverage sits behind every headline number.
For statistics, the LLM statistics hub publishes citable, dated figures on pricing, releases, context windows, and market share. Pricing is synced daily with per-provider hubs (Anthropic, OpenAI, Google, DeepSeek and more). And the entire dataset is open: CSV/JSON exports, llms.txt, and llms-full.txt, free to reuse.
Every tracked model also gets its own page with specs, context window, per-benchmark scores, and pricing in one place, and any two models can be put side by side on a comparison page — so the quick reference lookups an aggregator handles are covered here too, just with a citation trail underneath them.
LLM Stats alternative FAQ
Is BenchLM better than LLM Stats?
They overlap but optimize for different things. LLM Stats is a broad aggregator built for quick reference lookups. BenchLM is built for decision-grade rankings: it separates verified from provisional data, cites every sourced score, and publishes the methodology and the raw data. If you only need a fast spec lookup, either works; if you need to trust and audit the number, that is BenchLM's specific focus.
Where does BenchLM's data come from?
Benchmark scores come from published results — papers, official model cards, and benchmark project leaderboards — with citations attached in the verified lane. Pricing comes from provider price sheets and is synced daily. The methodology page documents category weights, freshness rules, and how provisional scores are handled.
Can I download BenchLM's data?
Yes. The /data pageoffers CSV and JSON exports of the leaderboard, and llms.txt / llms-full.txt expose the site's content in a machine-readable form for LLM crawlers and agents.
How often is BenchLM updated?
Pricing syncs daily; benchmark data updates as new results are published and carries explicit freshness metadata, so you can see when each benchmark was last refreshed. The data-verified stamp at the top of this page reflects the current catalog snapshot.
Leaderboard updates
Get notified when new benchmark results reshuffle the verified rankings.
Free. No spam. Unsubscribe anytime.