InferIndex · https://inferindex.dev/en/compare/cohere/command-r7b-12-2024/vs/mistralai/mistral-small-24b-instruct-2501
Command R7B (12-2024) costs from $0.066 per million tokens and Mistral Small 3 from $0.058 (at a 3:1 input:output mix): the cheapest price for each; prices checked on .
Verdict
At these prices, Command R7B (12-2024) costs 1.1× as much as Mistral Small 3 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 · $0.204. 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. Green background: the most favourable value of each column., most favourable value of the column | $0.05 | $0.08, most favourable value of the column | $0.058 | $4.20, most favourable value of the columnat DeepInfra | 8 | 6, most favourable value of the column | 33k | Cheapest. Lowest blended price, $ per 1M tokens | |
| $0.066 | $0.038, most favourable value of the column | $0.15 | – | $4.50at Cohere via OpenRouter | 5 | 3 | 128k |
Green background: the most favourable value of each column.
Prices as of Oct 31, 2026, 10:50 AM UTCSame rules as the API's /cheapest route. The monthly estimate uses the cheapest offer for that workload.
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