Large Language Model (LLM) Capabilities Markdown Table Template
Compare frontier foundation models by context window tokens, input token pricing, output token pricing, multimodality, and benchmarks.
Interactive Template Customizer
Edit cells, add rows, or sort — changes update the markdown liveColumn Architecture & Alignment Specification
Carefully chosen column alignments ensure optimal visual scannability across desktop and mobile screens:
| Column Header | Alignment | Delimiter Syntax | Design Rationale |
|---|---|---|---|
| Foundation Model | left | :--- | Standard left-aligned readable text & descriptions |
| Context Window | right | ---: | Aligns numeric scale, defaults, or magnitudes |
| Input ($ / 1M) | right | ---: | Aligns numeric scale, defaults, or magnitudes |
| Output ($ / 1M) | right | ---: | Aligns numeric scale, defaults, or magnitudes |
| Multimodal | center | :---: | Centers compact status symbols, flags, or tags |
| Coding Benchmark (HumanEval) | right | ---: | Aligns numeric scale, defaults, or magnitudes |
Pro Tips for Large Language Model (LLM) Capabilities
- Right-align token pricing per million tokens ($/1M).
- Right-align context window token capacity (128k, 1M, 2M).
- Center-align vision / audio / multimodal capabilities.
How to Deploy This Table Across Platforms
Paste raw Markdown into README.md. Leave one blank newline above and below for GFM compliance.
Paste directly into Live Preview mode. Use wikilinks ([[Note]]) inside cells for bidirectional linking.
Press Enter to make a fresh empty line block, then paste. Notion auto-transforms it into a native Simple Table block.
Standard GFM tables work out of the box in modern MDX engines. You can style them via custom CSS selectors.
Raw GFM Code
| Foundation Model | Context Window | Input ($ / 1M) | Output ($ / 1M) | Multimodal | Coding Benchmark (HumanEval) |
| :--------------------------- | -------------: | -------------: | --------------: | :-----------------------: | ---------------------------: |
| GPT-4o | `128,000` | $2.50 | $10.00 | ✓ Vision + Audio | `90.2%` |
| Claude 3.5 Sonnet | `200,000` | $3.00 | $15.00 | ✓ Vision | `93.7%` |
| Gemini 1.5 Pro | `2,097,152` | $3.50 | $10.50 | ✓ Vision + Audio + Video | `84.1%` |
| Llama 3.1 405B (Open Source) | `128,000` | $1.79 (Hosted) | $1.79 (Hosted) | Text only | `89.0%` |
| GPT-4o Mini | `128,000` | $0.15 | $0.60 | ✓ Vision | `87.0%` |Standard padded style with boundary pipes matching GitHub GFM parser specifications.
Platform Support
Syntax Formatting Rules
- Pipe Escaping: Use
\|for text with pipe symbols. - Multi-line Cells: Use
<br>for line breaks. - Monospace Text: Wrap variables or code in backticks (
`key`). - Empty Values: Use
—instead of leaving cells empty.
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Frequently Asked Questions About Large Language Model (LLM) Capabilities
Why are numeric metrics and percentiles aligned to the right in this table?
In data tables, columns containing numbers (such as Context Window, Input ($ / 1M), Output ($ / 1M), Coding Benchmark (HumanEval)) are strictly right-aligned using "---:". This aligns decimal places vertically, allowing readers to instantly assess numerical magnitude without mental strain.
Where in my repository or project documentation should I place this Large Language Model (LLM) Capabilities table?
This template is specifically designed for ai product architecture documents, llm cost estimation wikis, api evaluation guides. Place it inside your project's README.md, technical wiki, or developer portal. Always leave at least one blank newline before and after the table to ensure the GFM parser detects it properly.
Why is the "Foundation Model" column styled with left alignment?
The "Foundation Model" column functions as the primary key of this table. Setting it to left alignment establishes an anchor along the left reading margin, making it effortless for developers to scan down the list.
How do I add line breaks inside a single cell of this Large Language Model (LLM) Capabilities table?
Standard Markdown table rows cannot contain literal carriage returns. To create a multi-line list inside a cell, insert HTML <br> tags (e.g. "Item 1<br>Item 2<br>Item 3"). This keeps the entire entry in a single clean row without breaking column alignments.
How do I handle optional or missing values in Large Language Model (LLM) Capabilities?
Never leave table cells completely empty, as some strict Markdown parsers may collapse empty pipes. Instead, insert an em-dash ("—"), "N/A", or "None" to explicitly indicate that a value is not applicable.
Can I export this Large Language Model (LLM) Capabilities table into CSV, Excel, or HTML?
Yes. In the interactive toolkit above, you can edit your data and use our integrated export tools to convert this table directly into CSV, JSON, HTML <table>, or LaTeX with a single click.