Performance Data
Real benchmarks on AI tools — no fluff, just data.
What We Track
Every tool in the database gets tested on real-world tasks. We measure what actually matters: how fast it responds, what it costs, how accurate the output is, and how much time it saves compared to doing the work manually.
This isn’t a star-rating system. It’s a public, sortable database of benchmarks that anyone can verify. The kind of data that researchers, teams, and solo builders actually need to make decisions.
Sample Benchmarks
| Tool | Category | Speed | Cost/mo | Accuracy | Best For |
|---|---|---|---|---|---|
| ChatGPT 4o | LLM | Fast | $20 | 92% | General tasks |
| Claude Opus | LLM | Medium | $20 | 94% | Deep analysis |
| Midjourney v6 | Image | Medium | $10 | N/A | Art & design |
| GitHub Copilot | Code | Fast | $19 | 87% | Code completion |
| Ollama (local) | LLM | Varies | Free | 85% | Privacy-first |
Sample data for illustration. Full database coming soon.
Compare Tools
Tool Comparison
 ChatGPT
|
 Claude
|
 Gemini
|
 Perplexity
|
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|---|---|---|---|---|
| Pricing Tier | — | — | Freemium | Freemium |
| Price | — | — | $0/mo | $9/mo |
| Pricing Model | — | — | Usage-Based | Usage-Based |
| Free Tier | — | — | — | — |
| Company | — | — | Aliyun | Voyage AI |
| Speed | — | — | Fast | Fast |
| Open Source | ✗ No | ✗ No | ✗ No | ✗ No |
| API Available | ✗ No | ✗ No | ✗ No | ✗ No |
| Self-Hosted | ✗ No | ✗ No | ✗ No | ✗ No |
| Model / Engine | — | — | LLM-13B | Perplexity Engine v2.5 |
| Context Window | — | — | 4K tokens | 1024 tokens |
| Platforms | — | — | Web, iOS, API | Web, API |
| Integrations | — | — | Slack, Zapier, Microsoft Teams, Google Workspace | Slack, Zapier, Google Workspace |
| Languages | — | — | 75+ languages | Over 98 languages |
| Accuracy Score | — | — | — | — |
| Output Quality | — | — | — | — |
| Hours Saved/Mo | — | — | — | — |
| Community Rating | — | — | — | — |
How We Test
Each tool is evaluated on standardized tasks relevant to its category. LLMs get tested on reasoning, summarization, and code generation. Image tools on prompt adherence and output quality. Coding assistants on completion accuracy and context understanding.
We run tests monthly to capture version changes. All methodology is public. If you disagree with a result, you can see exactly how we got there — and suggest a better test.
Know a tool we should test?
We’re always expanding the database. Suggest a tool and we’ll add it to the queue.