InferIndex · https://inferindex.dev/en/compare/openai/gpt-4.1/vs/perplexity/sonar-reasoning-pro
GPT-4.1 costs from $3.50 per million tokens and Sonar Reasoning Pro from $3.50 (at a 3:1 input:output mix): the cheapest price for each; prices checked on .
Verdict
At these prices, the two models cost about the same per million tokens (at a 3:1 input:output mix).
Each model's lowest blended price, per 1M tokens, across every provider we track.
| Model | Lowest blended price, $ per 1M tokens. Green background: the most favourable value of each column. | Input price of the cheapest offer, per 1M tokens | Output price of the cheapest offer, per 1M tokens | The provider's published policy says the text you send is not used to train models. We only show what is published; we can't check it ourselves. | For 2,000 input tokens and 500 output tokens per request, 1,000 requests a day, at the cheapest offer for that workload. Change the workload above. | Offers | Providers | The maximum amount of text, counted in tokens, the model can take in and write in a single request. Past this limit, the request is refused or cut. | Observation |
|---|---|---|---|---|---|---|---|---|---|
| Most expensive offer · $3.85. The highest blended price among comparable offers: one price per provider (its cheapest route), standard tier, current prices only. Priority tiers and prices converted from points are not counted. | $2.00 | $8.00 | $3.50, most favourable value of the column | $240.00at OpenAI | 31 | 17, most favourable value of the column | 1M | ||
| Most expensive offer · $8.35. The highest blended price among comparable offers: one price per provider (its cheapest route), standard tier, current prices only. Priority tiers and prices converted from points are not counted. | $2.00 | $8.00 | at EmpirioLabs AI | $240.00at Perplexity via Requesty | 7 | 5 | 131k |
Green background: the most favourable value of each column.
Prices as of Oct 31, 2026, 2:20 AM UTCSame rules as the API's /cheapest route. The monthly estimate uses the cheapest offer for that workload.
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