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mistral-large-4-0 Cost Calculator - Mistral

Calculate the cost of using mistral-large-4-0 from Mistral for your AI applications

Pricing data last updated:

mistral-large-4-0 Cost Calculator

Mode: Chat

Max: 1,048,576 tokens

Cost Breakdown

Input Cost$0.00068000
Output Cost$0.002090
Total Cost$0.002770

Pricing Details

Input: $0.0000006800 per token
Output: $0.00000209 per token
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Model Specifications

Capabilities

✓Function Calling
✓Vision
✓Reasoning

Limits

Max Input Tokens1,048,576
Max Tokens1,048,576

About mistral-large-4-0

mistral-large-4-0 is a chat model from Mistral, one of 47 chat models they offer. It is priced at $0.68 per 1M input tokens and $2.09 per 1M output tokens, ranking 2016 out of 3778 chat models by cost and cheaper than 47% of models in this category. mistral-large-4-0 supports vision, function calling, reasoning, prompt caching, structured output. Its 1,049K-token context window is in the top 14% among chat models.

Pricing Information

Input Cost$0.68 per 1M tokens
Output Cost$2.09 per 1M tokens

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

Technical Specifications

Maximum Input Tokens1,048,576
Maximum Total Tokens1,048,576

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 1,048,576 input tokens.

Model Capabilities

✓Function Calling - Execute custom functions and tools
✓Vision - Process and understand images
✓Advanced Reasoning - Complex problem-solving capabilities
✓Prompt Caching - Optimize repeated prompts
✓Response Schema - Structured output formatting

How mistral-large-4-0 Pricing Compares

At $0.68 per 1M input tokens and $2.09 per 1M output tokens, mistral-large-4-0 ranks 2016 out of 3778 chat models by input cost. It is more expensive compared to the median of $0.60 for chat models, and is cheaper than 47% of models in this category.

mistral-large-4-0 is one of 47 Mistral chat models, with support for vision, function calling, reasoning, prompt caching, structured output. its 1,049K-token context window places it in the top 14% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs mistral-large-4-0
gpt-5.4-miniAzure$0.75$4.50+10%
gpt-5.4-mini-2026-03-17Azure$0.75$4.50+10%
gemini-3.6-flashVertex AI$0.75$3.75+10%

Alternatives to mistral-large-4-0

Similar chat models from other providers

Azure
gpt-5.4-mini
$0.75/1M input
+10% vs mistral-large-4-0
Azure
gpt-5.4-mini-2026-03-17
$0.75/1M input
+10% vs mistral-large-4-0
Vertex AI
gemini-3.6-flash
$0.75/1M input
+10% vs mistral-large-4-0
Vertex AI
gemini-3.7-flash
$0.75/1M input
+10% vs mistral-large-4-0
Vertex AI
gemini-3.8-flash
$0.75/1M input
+10% vs mistral-large-4-0

Frequently Asked Questions

Is mistral-large-4-0 cheaper than gpt-5.4-mini?

Yes. mistral-large-4-0 costs $0.68 per 1M input tokens compared to gpt-5.4-mini's $0.75 per 1M input tokens, making it 10% more affordable. Both are chat models and share support for vision, function calling, reasoning, web search, prompt caching, structured output.

How does mistral-large-4-0 pricing compare to the average chat model?

mistral-large-4-0 input pricing is $0.68 per 1M tokens, which is 13% above the median of $0.60 for chat models. It ranks 2016 out of 3778 chat models by input cost, making it cheaper than 47% of models in this category. For output, it costs $2.09 per 1M tokens compared to the median of $1.75.

What makes mistral-large-4-0 different from other Mistral models?

Among Mistral's 47 chat models, mistral-large-4-0 ranks 34 by input cost.

What are the best alternatives to mistral-large-4-0?

The most comparable chat models to mistral-large-4-0 are: gpt-5.4-mini from Azure ($0.75/1M input tokens); gpt-5.4-mini-2026-03-17 from Azure ($0.75/1M input tokens); gemini-3.6-flash from Vertex AI ($0.75/1M input tokens); gemini-3.7-flash from Vertex AI ($0.75/1M 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 large is mistral-large-4-0's context window?

mistral-large-4-0 supports up to 1,048,576 input tokens, placing it in the top 14% of chat models by context window size (rank 223 of 3499). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I calculate mistral-large-4-0 costs?

mistral-large-4-0 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 $0.68 and generating 1M output tokens costs $2.09.