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Which models lead, where API prices moved, and what it costs to run them. Measured from live data.
By Tobias Wupperfeld · Published Tracking 753 hosted models across OpenRouter, ppq.ai, and kie.ai.
| Model | Input / 1M | Output / 1M |
|---|---|---|
| OpenAI GPT-5 | $0.02 | $0.20 |
| OpenAI o-series | $0.55 | $2.20 |
| Anthropic Claude Opus | $1.43 | $7.15 |
| Anthropic Claude Sonnet | $0.85 | $4.28 |
| Google Gemini 2.5 Pro | $0.38 | $3.00 |
| Google Gemini Flash | $0.05 | $0.20 |
Gemma 3 27B IT: cumulative cost over 12 months
The API saves about $48 over a year at this workload.
Local vs API assumes 50M tokens a month, split evenly between input and output, with the cheapest cloud GPU that fits the model billed at 8 hours a day.
The most-starred open agent frameworks, with how their stars and downloads moved.
New papers posted to arXiv in the categories that drive applied AI. A rough gauge of how fast the field is moving, not a quality measure.
10,599 papers in total. Papers land in more than one category, so the four numbers above add up to more than the real total.
A point-in-time read of major provider uptime, taken when this report was generated.
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