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mistral-small Cost Calculator - Vercel Ai Gateway

Calculate the cost of using mistral-small from Vercel Ai Gateway for your AI applications

Pricing data last updated:

mistral-small Cost Calculator

Mode: Chat

Max: 32,000 tokens

Max: 4,000 tokens

Cost Breakdown

Input Cost$0.00010000
Output Cost$0.00030000
Total Cost$0.00040000

Pricing Details

Input: $0.0000001000 per token
Output: $0.0000003000 per token
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Model Specifications

Capabilities

Function Calling

Limits

Max Input Tokens32,000
Max Output Tokens4,000
Max Tokens4,000

About mistral-small

mistral-small 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 $0.30 per 1M output tokens, ranking 277 out of 2292 chat models by cost and cheaper than 85% of models in this category. mistral-small supports function calling, structured output. It accepts up to 32K input tokens.

Pricing Information

Input Cost$0.10 per 1M tokens
Output Cost$0.30 per 1M tokens

Note: Use the interactive calculator above to estimate costs for your specific usage patterns.

Technical Specifications

Maximum Input Tokens32,000
Maximum Output Tokens4,000
Maximum Total Tokens4,000

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 32,000 input tokens. The maximum output length is 4,000 tokens.

Model Capabilities

Function Calling - Execute custom functions and tools
Response Schema - Structured output formatting

How mistral-small Pricing Compares

At $0.10 per 1M input tokens and $0.30 per 1M output tokens, mistral-small ranks 277 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.

mistral-small is one of 95 Vercel Ai Gateway chat models, with support for function calling, structured output.

ModelProviderInput / 1M tokensOutput / 1M tokensvs mistral-small
gpt-4.1-nanoAzure$0.10$0.400%
gpt-4.1-nano-2025-04-14Azure$0.10$0.400%
meta-llama-3.1-8b-instructFriendliAI$0.10$0.100%

Alternatives to mistral-small

Similar chat models from other providers

Azure
gpt-4.1-nano
$0.10/1M input
0% vs mistral-small
FriendliAI
meta-llama-3.1-8b-instruct
$0.10/1M input
0% vs mistral-small
Vertex AI
gemini-2.0-flash
$0.10/1M input
0% vs mistral-small
Vertex AI
gemini-2.5-flash-lite
$0.10/1M input
0% vs mistral-small

Frequently Asked Questions

Is mistral-small cheaper than gpt-4.1-nano?

No. mistral-small 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-small may offer different capabilities or performance characteristics that justify the price difference.

How does mistral-small pricing compare to the average chat model?

mistral-small input pricing is $0.10 per 1M tokens, which is 82% below the median of $0.55 for chat models. It ranks 277 out of 2292 chat models by input cost, making it cheaper than 85% of models in this category. For output, it costs $0.30 per 1M tokens compared to the median of $1.50.

What makes mistral-small different from other Vercel Ai Gateway models?

Among Vercel Ai Gateway's 95 chat models, mistral-small ranks 16 by input cost.

What are the best alternatives to mistral-small?

The most comparable chat models to mistral-small 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.

How do I calculate mistral-small costs?

mistral-small 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.