Calculate the cost of using qwen3-embedding-8b from Llamagate for your AI applications
Pricing data last updated:
Mode: Embedding
Max: 40,960 tokens
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qwen3-embedding-8b is an embedding model from Llamagate, one of 2 embedding models they offer. It is priced at $0.02 per 1M input tokens and $0.0000 per 1M output tokens, ranking 14 out of 94 embedding models by cost and cheaper than 85% of models in this category. Its 41K-token context window is in the top 7% 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 40,960 input tokens.
At $0.02 per 1M input tokens and $0.0000 per 1M output tokens, qwen3-embedding-8b ranks 14 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 85% of models in this category.
qwen3-embedding-8b is one of 2 Llamagate embedding models, its 41K-token context window places it in the top 7% of embedding models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs qwen3-embedding-8b |
|---|---|---|---|---|
| text-embedding-3-small | Azure | $0.02 | $0.0000 | 0% |
| UAE-Large-V1 | Fireworks Ai-embedding-models | $0.02 | $0.0000 | -20% |
| gte-large | Fireworks Ai-embedding-models | $0.02 | $0.0000 | -20% |
Similar embedding models from other providers
No. qwen3-embedding-8b costs $0.02 per 1M input tokens while text-embedding-3-small costs $0.02 per 1M input tokens, making text-embedding-3-small 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 $0.02 per 1M tokens, which is 80% below the median of $0.10 for embedding models. It ranks 14 out of 94 embedding models by input cost, making it cheaper than 85% of models in this category. For output, it costs $0.0000 per 1M tokens compared to the median of $0.01.
Among Llamagate's 2 embedding models, qwen3-embedding-8b ranks 2 by input cost.
The most comparable embedding models to qwen3-embedding-8b are: text-embedding-3-small from Azure ($0.02/1M input tokens); UAE-Large-V1 from Fireworks Ai-embedding-models ($0.02/1M input tokens); gte-large from Fireworks Ai-embedding-models ($0.02/1M input tokens); text-embedding-3-small from OpenAI ($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-embedding-8b supports up to 40,960 input tokens, placing it in the top 7% of embedding models by context window size (rank 6 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 $0.02 and generating 1M output tokens costs $0.0000.
