Calculate the cost of using labs-devstral-small-2512 from Mistral for your AI applications
Pricing data last updated:
Mode: Chat
Max: 256,000 tokens
Max: 256,000 tokens
Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.
labs-devstral-small-2512 is a chat model from Mistral, one of 48 chat models they offer. It is priced at $0.10 per 1M input tokens and $0.30 per 1M output tokens, ranking 265 out of 2172 chat models by cost and cheaper than 84% of models in this category. labs-devstral-small-2512 supports function calling, structured output. Its 256K-token context window is in the top 28% among chat 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 256,000 input tokens. The maximum output length is 256,000 tokens.
At $0.10 per 1M input tokens and $0.30 per 1M output tokens, labs-devstral-small-2512 ranks 265 out of 2172 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 84% of models in this category.
labs-devstral-small-2512 is one of 48 Mistral chat models, with support for function calling, structured output. its 256K-token context window places it in the top 28% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs labs-devstral-small-2512 |
|---|---|---|---|---|
| gpt-4.1-nano | Azure | $0.10 | $0.40 | 0% |
| gpt-4.1-nano-2025-04-14 | Azure | $0.10 | $0.40 | 0% |
| meta-llama-3.1-8b-instruct | FriendliAI | $0.10 | $0.10 | 0% |
Similar chat models from other providers
No. labs-devstral-small-2512 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, labs-devstral-small-2512 may offer different capabilities or performance characteristics that justify the price difference.
labs-devstral-small-2512 input pricing is $0.10 per 1M tokens, which is 82% below the median of $0.55 for chat models. It ranks 265 out of 2172 chat models by input cost, making it cheaper than 84% of models in this category. For output, it costs $0.30 per 1M tokens compared to the median of $1.48.
Among Mistral's 48 chat models, labs-devstral-small-2512 ranks 6 by input cost.
The most comparable chat models to labs-devstral-small-2512 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); meta-llama-3.1-8b-instruct from FriendliAI ($0.10/1M input tokens); gemini-2.0-flash from Vertex AI ($0.10/1M 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.
labs-devstral-small-2512 supports up to 256,000 input tokens, placing it in the top 28% of chat models by context window size (rank 535 of 2097). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
labs-devstral-small-2512 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 $0.30.
