Calculate the cost of using qwen3-reranker-8b from Novita for your AI applications
Pricing data last updated:
Mode: Rerank
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qwen3-reranker-8b is a rerank model from Novita, one of 2 rerank models they offer. It is priced at $0.05 per 1M input tokens and $0.05 per 1M output tokens, ranking 7 out of 7 rerank models by cost and cheaper than 0% of models in this category. Its 33K-token context window is in the top 14% 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 32,768 input tokens. The maximum output length is 4,096 tokens.
At $0.05 per 1M input tokens and $0.05 per 1M output tokens, qwen3-reranker-8b ranks 7 out of 7 rerank models by input cost. It is more expensive compared to the median of $0.02 for rerank models, and is cheaper than 0% of models in this category.
qwen3-reranker-8b is one of 2 Novita rerank models, its 33K-token context window places it in the top 14% of rerank models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs qwen3-reranker-8b |
|---|---|---|---|---|
| rerank-2 | Voyage | $0.05 | $0.0000 | 0% |
| rerank-2.5 | Voyage | $0.05 | $0.0000 | 0% |
| jina-reranker-v2-base-multilingual | Jina AI | $0.02 | $0.02 | -64% |
Similar rerank models from other providers
No. qwen3-reranker-8b costs $0.05 per 1M input tokens while rerank-2 costs $0.05 per 1M input tokens, making rerank-2 0% 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 $0.05 per 1M tokens, which is 150% above the median of $0.02 for rerank models. It ranks 7 out of 7 rerank models by input cost, making it cheaper than 0% of models in this category. For output, it costs $0.05 per 1M tokens compared to the median of $0.02.
Among Novita's 2 rerank models, qwen3-reranker-8b ranks 2 by input cost.
The most comparable rerank models to qwen3-reranker-8b are: rerank-2 from Voyage ($0.05/1M input tokens); rerank-2.5 from Voyage ($0.05/1M input tokens); jina-reranker-v2-base-multilingual from Jina AI ($0.02/1M input tokens); rerank-2-lite from Voyage ($0.02/1M 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 32,768 input tokens, placing it in the top 14% of rerank models by context window size (rank 1 of 7). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
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 $0.05 and generating 1M output tokens costs $0.05.
