Methodology
How we collect and check every figure on this site, and where the numbers we don’t own come from.
How data is collected
- Official pages first. Prices, specs and release dates are read from each provider’s own pricing pages, model documentation and launch posts, and from the public price pages of the channels that sell the model.
- Sources per field. Every value records the page it was read from and the date it was checked, not one source per model. The dot after a number opens that record.
- Checked before publication. The collector publishes changes automatically after the dataset passes validation and the latest replay of stored pages passes. Every change is recorded and can be reverted.
- Unchecked values are marked. A value not yet checked against an official page is shown as unverified, and it never overwrites a verified value.
- No guesses. Missing values are shown as “—”. Open-licence community data may fill a gap as unverified until an official page states the value. We don’t estimate values or compute composite scores.
Verified, partly verified, unverified
- Verified
- Every price and spec of the model has an official source, and its type’s core specs and at least one priced offering are present. 487 of 1292 models.
- Partly verified
- Some values have an official source, but other values, core specs or a priced offering are not yet verified. Verified values show a filled dot, the rest a hollow one. 794 models.
- Unverified
- No value has an official source yet. 11 models.
- Cited
- A score from a third-party leaderboard, shown with its source and license. We cite it; we didn’t measure it.
Prices
- Prices are stored and shown in the currency the source lists them in, with every tier and condition the source states.
- Headline prices in lists and comparisons come from the provider’s own API at its standard rate: no batch, long-context or off-peak tiers. For image models it is the lowest listed price per output image; for video models the price per second at 1080p where the provider lists it.
- The blended language price is 3 parts input to 1 part output, computed from the listed prices and labeled as such.
- Converted prices, when exchange rates are available, always show the original price and the rate date.
Scores
- Provider-reported scores are benchmark results a model’s own provider published, with the conditions it states (for example effort level or tool use). We list 276 of them across 31 benchmarks. Providers run benchmarks differently, so compare them with care.
- Cited scores come only from leaderboards whose license allows us to show them, and are credited as the license requires. Where a leaderboard ranks several configurations of a model, we show the best one and name it.
Cited sources and attribution
Epoch AI Benchmarking Hub data
Epoch AI, 'Capabilities & benchmarking'. Published online at epoch.ai. Retrieved from 'https://epoch.ai/benchmarks'. Licensed CC BY 4.0.
License: CC BY 4.0. Changes we made: Filtered to models listed on ai.gotry.io; model names mapped to ai.gotry.io model ids; fractions converted to percentages and rounded.
- Epoch AI · Chess Puzzles Language · 85 models · as of Nov 5, 2026
- Epoch AI · EBR-bench Language · 28 models · as of Oct 28, 2026
- Epoch AI · FrontierMath Tier 4 v2 Language · 65 models · as of Oct 28, 2026
- Epoch AI · FrontierMath Tiers 1–3 Language · 84 models · as of Oct 28, 2026
- Epoch AI · Furniture Assembly Language · 34 models · as of Oct 28, 2026
- Epoch AI · GPQA Diamond Language · 168 models · as of Nov 4, 2026
- Epoch AI · MATH Level 5 Language · 64 models · as of Oct 18, 2026
- Epoch AI · MirrorCode Language · 15 models · as of Nov 2, 2026
- Epoch AI · Mystery Game Puzzles Language · 77 models · as of Oct 28, 2026
- Epoch AI · OTIS Mock AIME 2024–2025 Language · 159 models · as of Nov 4, 2026
- Epoch AI · SimpleQA Verified Language · 84 models · as of Nov 4, 2026
- Epoch AI · SWE-bench Verified Language · 30 models · as of Oct 7, 2026
- Epoch Capabilities Index Language · 118 models · as of Nov 5, 2026
EQ-Bench: 4
EQ-Bench by Samuel J. Paech (eqbench.com; EQ-bench/EQ-bench-site on GitHub), MIT License.
License: MIT. Changes we made: Filtered to models listed on ai.gotry.io; model names mapped to ai.gotry.io model ids; rounded to one decimal.
- EQ-Bench 4 Language · 31 models · as of Oct 24, 2026
EQ-Bench: Creative Writing v3
EQ-Bench by Samuel J. Paech (eqbench.com; EQ-bench/EQ-bench-site on GitHub), MIT License.
License: MIT. Changes we made: Filtered to models listed on ai.gotry.io; model names mapped to ai.gotry.io model ids; rounded to one decimal.
- EQ-Bench Creative Writing v3 Language · 94 models · as of Oct 28, 2026
EQ-Bench: Longform Writing
EQ-Bench by Samuel J. Paech (eqbench.com; EQ-bench/EQ-bench-site on GitHub), MIT License.
License: MIT. Changes we made: Filtered to models listed on ai.gotry.io; model names mapped to ai.gotry.io model ids; rounded to one decimal.
- EQ-Bench Longform Writing Language · 92 models · as of Oct 28, 2026
LiveBench release 2026-06-25
LiveBench (White et al.), release 2026-06-25, livebench.ai, licensed CC BY-SA 4.0. This board, adapted from it, is shared under CC BY-SA 4.0.
License: CC BY-SA 4.0. Changes we made: Category scores and the global average computed from the release's task scores as LiveBench computes them; filtered to models listed on ai.gotry.io; run names mapped to ai.gotry.io model ids, their thinking budget and effort shown as variants; rounded to two decimals.
- LiveBench · Agentic Coding Language · 57 models · as of Jun 25, 2026
- LiveBench · Coding Language · 57 models · as of Jun 25, 2026
- LiveBench · Data Analysis Language · 57 models · as of Jun 25, 2026
- LiveBench · Global Average Language · 57 models · as of Jun 25, 2026
- LiveBench · Instruction Following Language · 57 models · as of Jun 25, 2026
- LiveBench · Language Language · 57 models · as of Jun 25, 2026
- LiveBench · Mathematics Language · 57 models · as of Jun 25, 2026
- LiveBench · Reasoning Language · 57 models · as of Jun 25, 2026
LMArena leaderboard dataset (Hugging Face)
LMArena (Arena), leaderboard-dataset on Hugging Face, licensed CC BY 4.0
License: CC BY 4.0. Changes we made: Filtered to models listed on ai.gotry.io; model names mapped to ai.gotry.io model ids; ratings rounded to one decimal.
- LMArena Document Language · 31 models · as of Nov 8, 2026
- LMArena Image Edit Image · 34 models · as of Nov 8, 2026
- LMArena Image-to-Video Video · 7 models · as of Nov 8, 2026
- LMArena Search Language · 17 models · as of Nov 8, 2026
- LMArena Text Language · 163 models · as of Nov 8, 2026
- LMArena Text · Chinese Language · 161 models · as of Nov 8, 2026
- LMArena Text · Coding Language · 163 models · as of Nov 8, 2026
- LMArena Text · Creative writing Language · 163 models · as of Nov 8, 2026
- LMArena Text · Hard prompts Language · 163 models · as of Nov 8, 2026
- LMArena Text · Instruction following Language · 163 models · as of Nov 8, 2026
- LMArena Text · Longer queries Language · 163 models · as of Nov 8, 2026
- LMArena Text · Math Language · 160 models · as of Nov 8, 2026
- LMArena Text · Multi-turn Language · 163 models · as of Nov 8, 2026
- LMArena Text-to-Image Image · 38 models · as of Nov 8, 2026
- LMArena Text-to-Video Video · 10 models · as of Nov 8, 2026
- LMArena Video Edit Video · 4 models · as of Nov 8, 2026
- LMArena Vision Language · 89 models · as of Nov 8, 2026
- LMArena WebDev Language · 94 models · as of Nov 8, 2026
harbor-framework/terminal-bench leaderboard submissions
Terminal-Bench 4.0 leaderboard (Marten, Shaw et al., Terminal-Bench; harbor-framework/terminal-bench on GitHub), licensed Apache-2.0.
License: Apache-2.0. Changes we made: Filtered to models listed on ai.gotry.io; model names mapped to ai.gotry.io model ids; each submission’s agent and reasoning effort shown as its variant; the 95% interval written as a range; rounded to one decimal.
- Terminal-Bench 4.0 Language · 21 models · as of Sep 29, 2026
MCP server data
MCP server names, descriptions, versions, endpoints and packages come from the Official MCP Registry, whose data is dedicated to the public domain under CC0 1.0. This data comes from the Official MCP Registry; listing a server here doesn’t imply any endorsement.
Popularity figures are the platforms’ own measurements, refreshed weekly and shown with their date: GitHub stars from the GitHub API, npm downloads from api.npmjs.org, and PyPI downloads from pypistats.org, which serves the PyPI BigQuery dataset (Python Software Foundation, CC BY 4.0; we show the last-month total unchanged). They are facts, not a quality score, and we don’t combine them.
Logos and trademarks
Provider and channel logos are from Lobe Icons by LobeHub, used under the MIT License, shown in one color.
Interface icons are from Lucide, used under the ISC License; some Lucide icons derive from Feather (MIT License, © Cole Bemis).
Logos are trademarks of their respective owners, used only for identification.
Local-run estimates
For open-weight models the site estimates what it takes to run them, from their makers’ own repositories (parameters, config.json, the sizes of the builds they publish) and the hardware makers’ specs. Estimates, never measurements: nobody else’s benchmarks are used.
- Weights: the maker’s own file where it publishes the precision, else parameters × bits per weight (GGUF levels as llama.cpp defines them, K-quant mixes calibrated on makers’ files).
- KV cache: 2 × layers × KV heads × head width × context × bytes per value; latent attention keeps one compressed vector a layer, sliding-window layers keep their window, hybrid models only their full-attention layers. × concurrent requests.
- Overhead: the larger of 0.5 GB and 5% of the weights.
- Usable memory: 90% of a GPU’s; two thirds of Apple unified memory up to 36 GB and three quarters above (macOS’s default); three quarters of other unified memory; system memory less 6 GB.
- Speed: bandwidth ÷ bytes read per token (the active parameters’ weights and the KV cache), at 50–75% efficiency, the middle shown; several GPUs add their bandwidth less 15%.
- With system memory: whole layers on the GPU and the rest in RAM, or a mixture of experts’ experts in RAM and the rest on the GPU; each part read at its own bandwidth. System memory: JEDEC rates (DDR4-3200 dual channel 51.2 GB/s, DDR5-5600 89.6 GB/s, and four or eight channels).
- Grades: runs well at 15 tokens a second or more; runs, slowly below; needs system memory (at 2 tokens a second or more); doesn’t fit.
- Automatic precision: never below 4 bits (or the native precision), leaving 10% of the memory free where it can. Quality first: the highest that runs well in memory, else the highest in memory, else with system memory. Speed first: a 4-bit build.
- First token: 2 × active parameters × prompt length ÷ the device’s dense FP16 compute.
Data freshness
We re-read pricing, lifecycle and changelog pages on every collection run, several times a day, and spec-only pages once a day. The latest full collection run finished on Nov 10, 2026. Each figure links to its source and check date.
- Model prices and specs: 2763 official pages · checked Nov 10, 2026
- Coding plans, clients and MCP proofs: 87 pages · checked Nov 11, 2026
- MCP servers: 142, from the Official MCP Registry · checked Nov 11, 2026
- Agent Skills: 223, from publishers’ own indexes · checked Nov 11, 2026
- News: 54 announcement channels · checked Nov 11, 2026
- Exchange rates: 30 currencies (European Central Bank) · checked Nov 10, 2026
By provider
| Provider | Official pages | All checked since |
|---|---|---|
| Alibaba Qwen | 978 | Oct 4, 2026 |
| Amazon Web Services | 15 | Nov 10, 2026 |
| Ant Group | 101 | Nov 10, 2026 |
| Anthropic | 105 | Oct 4, 2026 |
| BAAI | 42 | Nov 10, 2026 |
| Baidu | 94 | Oct 4, 2026 |
| Black Forest Labs | 62 | Oct 14, 2026 |
| ByteDance Seed | 114 | Oct 11, 2026 |
| Cohere | 36 | Nov 10, 2026 |
| DeepSeek | 172 | Nov 10, 2026 |
| ElevenLabs | 31 | Nov 10, 2026 |
| 220 | Oct 4, 2026 | |
| IBM | 31 | Nov 10, 2026 |
| Inception | 17 | Nov 10, 2026 |
| Kuaishou Kling | 37 | Nov 10, 2026 |
| Luma AI | 7 | Nov 10, 2026 |
| Meituan | 27 | Nov 10, 2026 |
| Meta | 65 | Oct 27, 2026 |
| MiniMax | 106 | Oct 4, 2026 |
| Mistral AI | 217 | Oct 11, 2026 |
| Moonshot AI | 75 | Oct 23, 2026 |
| OpenAI | 478 | Oct 1, 2026 |
| Perplexity | 37 | Oct 29, 2026 |
| Runway | 31 | Oct 6, 2026 |
| Stability AI | 30 | Nov 6, 2026 |
| StepFun | 69 | Nov 10, 2026 |
| Tencent | 58 | Nov 10, 2026 |
| TypeSafe | 8 | Nov 10, 2026 |
| Voyage AI | 36 | Nov 10, 2026 |
| xAI | 50 | Nov 11, 2026 |
| Xiaomi | 35 | Oct 4, 2026 |
| Zhipu AI | 211 | Nov 10, 2026 |
A provider’s date is when all of its pages were last read and passed our checks. Each figure also shows the date its own source was checked.
Coverage
1292 models from 32 providers, sold through 39 channels.