DeepInfra: model lineup and pricing overview
DeepInfra model lineup with prices, context windows and average benchmark scores. Low-cost inference API for open models.
What the data shows
DeepInfra has 7 models in the index. The average input price is $2.38 and the average output price is $10.83 per million tokens.
The strongest model by average score is llama-3-deepinfra-instruct. The cheapest by input price is Llama 3 DeepInfra 1.5B.
How to read the lineup
- Start with the best model for quality-sensitive work.
- Use the cheapest model for high-volume tasks.
- Check open-weight availability if self-hosting matters.
- Keep a second provider for fallback.
DeepInfra models
| # | Model | Input / 1M | Output / 1M | Context | Avg score |
|---|---|---|---|---|---|
| 1 | Llama 3 DeepInfra Instruct | $3.84 | $20.22 | 65,536 | 75.5 |
| 2 | Llama 3 DeepInfra Chat | $3.74 | $15.32 | 200,000 | 75.0 |
| 3 | Llama 3 DeepInfra | $3.67 | $14.87 | 128,000 | 74.0 |
| 4 | Llama 3 DeepInfra Base | $2.95 | $15.78 | 16,384 | 71.8 |
| 5 | Llama 3 DeepInfra 8B | $1.05 | $3.99 | 8,192 | 57.4 |
| 6 | Llama 3 DeepInfra 7B | $0.95 | $3.71 | 16,384 | 55.6 |
| 7 | Llama 3 DeepInfra 1.5B | $0.48 | $1.91 | 32,768 | 48.8 |
Methodology
This story uses the AI & LLM Index dataset: 600 models, 40 providers and 12 benchmarks. Prices are listed per million tokens. Scores are modelled estimates on a 0–100 scale and are not official benchmark results. Figures are rounded for readability.
Related
FAQ
What does the DeepInfra: model lineup and pricing overview data show?
DeepInfra model lineup with prices, context windows and average benchmark scores. Low-cost inference API for open models.
Are the numbers official?
No. Prices and scores are compiled for this demo index. Benchmark values are modelled estimates, not official results. Verify figures with the provider or benchmark owner before making decisions.
How should I use this ranking?
Use it to form a shortlist. Check the specific model pages, compare price and context, and test the shortlist on your own examples before committing.