Calculate the cost of using qwen3-embedding-8b from Novita for your AI applications
Pricing data last updated:
Mode: Embedding
Max: 32,768 tokens
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qwen3-embedding-8b is an embedding model from Novita, one of 3 embedding models they offer. It is priced at $0.07 per 1M input tokens and $0.0000 per 1M output tokens, ranking 21 out of 94 embedding models by cost and cheaper than 78% of models in this category. Its 33K-token context window is in the top 14% among embedding 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 $0.07 per 1M input tokens and $0.0000 per 1M output tokens, qwen3-embedding-8b ranks 21 out of 94 embedding models by input cost. It is more affordable compared to the median of $0.10 for embedding models, and is cheaper than 78% of models in this category.
qwen3-embedding-8b is one of 3 Novita embedding models, its 33K-token context window places it in the top 14% of embedding models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs qwen3-embedding-8b |
|---|---|---|---|---|
| gemini-1.5-flash | Google Gemini | $0.07 | $0.0000 | +7% |
| voyage-3 | Voyage | $0.06 | $0.0000 | -14% |
| voyage-3.5 | Voyage | $0.06 | $0.0000 | -14% |
Similar embedding models from other providers
Yes. qwen3-embedding-8b costs $0.07 per 1M input tokens compared to gemini-1.5-flash's $0.07 per 1M input tokens, making it 7% more affordable. Both are embedding models.
qwen3-embedding-8b input pricing is $0.07 per 1M tokens, which is 30% below the median of $0.10 for embedding models. It ranks 21 out of 94 embedding models by input cost, making it cheaper than 78% of models in this category. For output, it costs $0.0000 per 1M tokens compared to the median of $0.01.
Among Novita's 3 embedding models, qwen3-embedding-8b ranks 3 by input cost.
The most comparable embedding models to qwen3-embedding-8b are: gemini-1.5-flash from Google Gemini ($0.07/1M input tokens); voyage-3 from Voyage ($0.06/1M input tokens); voyage-3.5 from Voyage ($0.06/1M input tokens); amazon.nova-2-multimodal-embeddings-v1:0 from AWS Bedrock ($0.14/1M 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-embedding-8b supports up to 32,768 input tokens, placing it in the top 14% of embedding models by context window size (rank 11 of 87). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
qwen3-embedding-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 $0.07 and generating 1M output tokens costs $0.0000.
