Calculate the cost of using mistral-embed from Vercel Ai Gateway for your AI applications
Pricing data last updated:
Mode: Chat
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mistral-embed is a chat model from Vercel Ai Gateway, one of 95 chat models they offer. It is priced at $0.10 per 1M input tokens and $0.0000 per 1M output tokens, ranking 276 out of 2292 chat models by cost and cheaper than 85% of models in this category. It accepts up to 0K input tokens.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
At $0.10 per 1M input tokens and $0.0000 per 1M output tokens, mistral-embed ranks 276 out of 2292 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 85% of models in this category.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs mistral-embed |
|---|---|---|---|---|
| gpt-4.1-nano | Azure | $0.10 | $0.40 | 0% |
| gpt-4.1-nano-2025-04-14 | Azure | $0.10 | $0.40 | 0% |
| Phi-4 | Azure | $0.13 | $0.50 | +25% |
Similar chat models from other providers
No. mistral-embed costs $0.10 per 1M input tokens while gpt-4.1-nano costs $0.10 per 1M input tokens, making gpt-4.1-nano 0% more affordable for input. However, mistral-embed may offer different capabilities or performance characteristics that justify the price difference.
mistral-embed input pricing is $0.10 per 1M tokens, which is 82% below the median of $0.55 for chat models. It ranks 276 out of 2292 chat 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 $1.50.
Among Vercel Ai Gateway's 95 chat models, mistral-embed ranks 15 by input cost.
The most comparable chat models to mistral-embed are: gpt-4.1-nano from Azure ($0.10/1M input tokens); gpt-4.1-nano-2025-04-14 from Azure ($0.10/1M input tokens); Phi-4 from Azure ($0.13/1M input tokens); Phi-4-multimodal-instruct from Azure ($0.08/1M 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.
mistral-embed 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 $0.10 and generating 1M output tokens costs $0.0000.
