Calculate the cost of using qwen3-embedding-8b from OpenRouter 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 OpenRouter, one of 16 embedding models they offer. It is priced at $0.01 per 1M input tokens, ranking 11 out of 128 embedding models by cost and cheaper than 91% of models in this category. qwen3-embedding-8b supports structured output. Its 33K-token context window is in the top 16% 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.
At $0.01 per 1M input tokens, qwen3-embedding-8b ranks 11 out of 128 embedding models by input cost. It is more affordable compared to the median of $0.10 for embedding models, and is cheaper than 91% of models in this category.
qwen3-embedding-8b is one of 16 OpenRouter embedding models, with support for structured output. its 33K-token context window places it in the top 16% of embedding models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs qwen3-embedding-8b |
|---|---|---|---|---|
| bge-en-icl | Nebius | $0.01 | $0.0000 | 0% |
| bge-multilingual-gemma2 | Nebius | $0.01 | $0.0000 | 0% |
| e5-mistral-7b-instruct | Nebius | $0.01 | $0.0000 | 0% |
Similar embedding models from other providers
No. qwen3-embedding-8b costs $0.01 per 1M input tokens while bge-en-icl costs $0.01 per 1M input tokens, making bge-en-icl 0% more affordable for input. However, qwen3-embedding-8b may offer different capabilities or performance characteristics that justify the price difference.
qwen3-embedding-8b input pricing is $0.01 per 1M tokens, which is 90% below the median of $0.10 for embedding models. It ranks 11 out of 128 embedding models by input cost, making it cheaper than 91% of models in this category.
Among OpenRouter's 16 embedding models, qwen3-embedding-8b ranks 6 by input cost.
The most comparable embedding models to qwen3-embedding-8b are: bge-en-icl from Nebius ($0.01/1M input tokens); bge-multilingual-gemma2 from Nebius ($0.01/1M input tokens); e5-mistral-7b-instruct from Nebius ($0.01/1M input tokens); bge-m3 from Novita ($0.01/1M 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 16% of embedding models by context window size (rank 17 of 113). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
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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.