Calculate the cost of using mistral-small-4 from Empiriolabs for your AI applications
Pricing data last updated:
Mode: Chat
Max: 262,144 tokens
Max: 65,536 tokens
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mistral-small-4 is a chat model from Empiriolabs, one of 92 chat models they offer. It is priced at $0.15 per 1M input tokens and $0.60 per 1M output tokens, ranking 876 out of 4195 chat models by cost and cheaper than 78% of models in this category. mistral-small-4 supports vision, function calling, web search, structured output — one of only 2 chat models with this combination. Its 262K-token context window is in the top 49% 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 262,144 input tokens. The maximum output length is 65,536 tokens.
At $0.15 per 1M input tokens and $0.60 per 1M output tokens, mistral-small-4 ranks 876 out of 4195 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 78% of models in this category.
mistral-small-4 is one of 92 Empiriolabs chat models, one of only 2 chat models combining function calling, structured output, vision, web search. its 262K-token context window places it in the top 49% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs mistral-small-4 |
|---|---|---|---|---|
| qwen3.8-flash | Dashscope | $0.15 | $0.47 | 0% |
| qwen3.8-omni-flash | Dashscope | $0.15 | $0.47 | 0% |
| qwen3.8-flash | Qwen Ai Platform | $0.15 | $0.47 | 0% |
Similar chat models from other providers
No. mistral-small-4 costs $0.15 per 1M input tokens while qwen3.8-flash costs $0.15 per 1M input tokens, making qwen3.8-flash 0% more affordable for input. However, mistral-small-4 may offer different capabilities or performance characteristics that justify the price difference.
mistral-small-4 input pricing is $0.15 per 1M tokens, which is 75% below the median of $0.60 for chat models. It ranks 876 out of 4195 chat models by input cost, making it cheaper than 78% of models in this category. For output, it costs $0.60 per 1M tokens compared to the median of $1.88.
Among Empiriolabs's 92 chat models, mistral-small-4 ranks 25 by input cost. Its combination of function calling, structured output, vision, web search is shared by only 1 other chat model.
The most comparable chat models to mistral-small-4 are: qwen3.8-flash from Dashscope ($0.15/1M input tokens); qwen3.8-omni-flash from Dashscope ($0.15/1M input tokens); qwen3.8-flash from Qwen Ai Platform ($0.15/1M input tokens); qwen3.8-omni-flash from Qwen Ai Platform ($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.
mistral-small-4 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 $0.15 and generating 1M output tokens costs $0.60.