Calculate the cost of using qwen3-reranker-8b from Fireworks AI for your AI applications
Pricing data last updated:
Mode: Rerank
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qwen3-reranker-8b is a rerank model from Fireworks AI. It is priced at $0.20 per 1M input tokens and $0.0000 per 1M output tokens, ranking 15 out of 15 rerank models by cost and cheaper than 0% of models in this category. Its 41K-token context window is in the top 7% among rerank models.
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 40,960 input tokens. The maximum output length is 40,960 tokens.
At $0.20 per 1M input tokens and $0.0000 per 1M output tokens, qwen3-reranker-8b ranks 15 out of 15 rerank models by input cost. It is more expensive compared to the median of $0.05 for rerank models, and is cheaper than 0% of models in this category.
qwen3-reranker-8b is a rerank model from Fireworks AI, its 41K-token context window places it in the top 7% of rerank models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs qwen3-reranker-8b |
|---|---|---|---|---|
| Llama-Rank-V1 | Together AI | $0.10 | $0.0000 | -50% |
| jina-reranker-v2-base-multilingual | Jina AI | $0.05 | $0.0000 | -75% |
| rerank-v5.0-fast | Cohere | $0.02 | $0.0000 | -90% |
Similar rerank models from other providers
No. qwen3-reranker-8b costs $0.20 per 1M input tokens while Llama-Rank-V1 costs $0.10 per 1M input tokens, making Llama-Rank-V1 50% more affordable for input. However, qwen3-reranker-8b may offer different capabilities or performance characteristics that justify the price difference.
qwen3-reranker-8b input pricing is $0.20 per 1M tokens, which is 300% above the median of $0.05 for rerank models. It ranks 15 out of 15 rerank models by input cost, making it cheaper than 0% 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 qwen3-reranker-8b are: Llama-Rank-V1 from Together AI ($0.10/1M input tokens); jina-reranker-v2-base-multilingual from Jina AI ($0.05/1M input tokens); rerank-v5.0-fast from Cohere ($0.02/1M input tokens); rerank-v5.0-pro from Cohere ($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.
qwen3-reranker-8b supports up to 40,960 input tokens, placing it in the top 7% of rerank models by context window size (rank 1 of 15). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
You can monitor Fireworks AI service health in real time on the Bifrost Fireworks AI Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.
qwen3-reranker-8b 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 $0.20 and generating 1M output tokens costs $0.0000.