--- title: "codestral-embed - Model Details & Comparison" description: "codestral-embed from Mistral AI: capabilities, context limits, pricing, and side-by-side comparisons with alternative models." url: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/mistral/codestral-embed" markdown: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/mistral/codestral-embed.md" --- # codestral-embed - Model Details & Comparison > codestral-embed from Mistral AI: capabilities, context limits, pricing, and side-by-side comparisons with alternative models. ## Important Links - [View MCP Gateway](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/resources/mcp-gateway.md) - [Features](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/#features) - [Enterprise](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/enterprise) - [Pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/pricing.md) - [Docs](https://docs.getbifrost.ai) - [GitHub](https://github.com/maximhq/bifrost) - [Book a Demo](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/book-a-demo) ## About codestral-embed codestral-embed is an embedding model from Mistral, one of 3 embedding models they offer. It is priced at $0.15 per 1M input tokens, ranking 124 out of 145 embedding models by cost and cheaper than 14% of models in this category. Its 8K-token context window is in the top 50% among embedding models. ## Specifications - **Mistral AI Provider.** - **Embedding Mode.** - **8,192 Max Input Tokens.** - **8,192 Max Tokens.** - **$0.15 / 1M tokens Input Price.** ## codestral-embed Pricing Overview At $0.15 per 1M input tokens, codestral-embed ranks 124 out of 145 embedding models by input cost. It is more expensive compared to the median of $0.10 for embedding models, and is cheaper than 14% of models in this category. codestral-embed is one of 3 Mistral embedding models, its 8K-token context window places it in the top 50% of embedding models. ## Models to Compare Alternatives to codestral-embed with comparable capabilities. | Model | Provider | Input $/1M | Output $/1M | | --- | --- | --- | --- | | amazon.nova-2-multimodal-embeddings-v1:0 | AWS Bedrock | $0.14 | $0.0000 | | text-embedding-3-large | Azure | $0.13 | $0.0000 | | databricks-gte-large-en | Databricks | $0.13 | $0.0000 | | gemini-embedding-001 | Vertex AI | $0.15 | $0.0000 | | gemini-embedding-001 | Google Gemini | $0.15 | $0.0000 | - [Compare amazon.nova-2-multimodal-embeddings-v1:0](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/bedrock/amazon.nova-2-multimodal-embeddings-v1-0.md) - [Compare text-embedding-3-large](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/azure/text-embedding-3-large.md) - [Compare databricks-gte-large-en](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/databricks/databricks-gte-large-en.md) - [Compare gemini-embedding-001](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/vertex_ai/gemini-embedding-001.md) - [Compare gemini-embedding-001](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/gemini/gemini-embedding-001.md) ## Related Resources - [Calculate codestral-embed costs](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/mistral/model/codestral-embed.md) - [All Mistral pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/mistral.md) ## FAQ ### Is codestral-embed cheaper than amazon.nova-2-multimodal-embeddings-v1:0? No. codestral-embed costs $0.15 per 1M input tokens while amazon.nova-2-multimodal-embeddings-v1:0 costs $0.14 per 1M input tokens, making amazon.nova-2-multimodal-embeddings-v1:0 10% more affordable for input. However, codestral-embed may offer different capabilities or performance characteristics that justify the price difference. ### How does codestral-embed pricing compare to the average embedding model? codestral-embed input pricing is $0.15 per 1M tokens, which is 50% above the median of $0.10 for embedding models. It ranks 124 out of 145 embedding models by input cost, making it cheaper than 14% of models in this category. ### What makes codestral-embed different from other Mistral models? Among Mistral's 3 embedding models, codestral-embed ranks 2 by input cost. ### What are the best alternatives to codestral-embed? The most comparable embedding models to codestral-embed are: amazon.nova-2-multimodal-embeddings-v1:0 from AWS Bedrock ($0.14/1M input tokens); text-embedding-3-large from Azure ($0.13/1M input tokens); databricks-gte-large-en from Databricks ($0.13/1M input tokens); gemini-embedding-001 from Vertex AI ($0.15/1M 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. ### How do I calculate codestral-embed costs? codestral-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. ## Related Resources - [Mistral AI models](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/provider/mistral.md) - [Model library](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library.md) - [LLM cost calculator](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator.md) - [Docs: Bifrost docs](https://docs.getbifrost.ai) - [GitHub: maximhq/bifrost](https://github.com/maximhq/bifrost) - [Pricing: Bifrost pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/pricing.md) - [Enterprise: Bifrost enterprise](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/enterprise) - [Book a Demo: Bifrost demo](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/book-a-demo) - [Resources: Bifrost resources](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/resources.md) --- *This is a markdown version of [https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/mistral/codestral-embed](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/mistral/codestral-embed) for AI/LLM consumption.*