Calculate the cost of using Llama-Rank-V1 from Together AI for your AI applications
Pricing data last updated:
Mode: Rerank
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Llama-Rank-V1 is a rerank model from Together AI. It is priced at $0.10 per 1M input tokens and $0.0000 per 1M output tokens, ranking 12 out of 13 rerank models by cost and cheaper than 8% of models in this category. It accepts up to 8K input tokens.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 8,192 input tokens.
At $0.10 per 1M input tokens and $0.0000 per 1M output tokens, Llama-Rank-V1 ranks 12 out of 13 rerank models by input cost. It is more expensive compared to the median of $0.05 for rerank models, and is cheaper than 8% of models in this category.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs Llama-Rank-V1 |
|---|---|---|---|---|
| jina-reranker-v2-base-multilingual | Jina AI | $0.05 | $0.0000 | -50% |
| rerank-2 | Voyage | $0.05 | $0.0000 | -50% |
| rerank-1 | Voyage | $0.05 | $0.0000 | -50% |
Similar rerank models from other providers
No. Llama-Rank-V1 costs $0.10 per 1M input tokens while jina-reranker-v2-base-multilingual costs $0.05 per 1M input tokens, making jina-reranker-v2-base-multilingual 50% more affordable for input. However, Llama-Rank-V1 may offer different capabilities or performance characteristics that justify the price difference.
Llama-Rank-V1 input pricing is $0.10 per 1M tokens, which is 100% above the median of $0.05 for rerank models. It ranks 12 out of 13 rerank models by input cost, making it cheaper than 8% of models in this category. For output, it costs $0.0000 per 1M tokens compared to the median of $0.03.
The most comparable rerank models to Llama-Rank-V1 are: jina-reranker-v2-base-multilingual from Jina AI ($0.05/1M input tokens); rerank-2 from Voyage ($0.05/1M input tokens); rerank-1 from Voyage ($0.05/1M input tokens); rerank-2.5 from Voyage ($0.05/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.
You can monitor Together AI service health in real time on the Bifrost Together AI Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.
Llama-Rank-V1 is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $0.10 and generating 1M output tokens costs $0.0000.