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mistral-medium-3.1:batch Cost Calculator - OpenRouter

Calculate the cost of using mistral-medium-3.1:batch from OpenRouter for your AI applications

Pricing data last updated:

mistral-medium-3.1:batch Cost Calculator

Mode: Chat

Max: 131,072 tokens

Max: 104,857 tokens

Cost Breakdown

Input Cost$0.00020000
Output Cost$0.001000
Total Cost$0.001200

Pricing Details

Input: $0.0000002000 per token
Output: $0.00000100 per token
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Model Specifications

Capabilities

Function Calling
Vision

Limits

Max Input Tokens131,072
Max Output Tokens104,857
Max Tokens104,857

About mistral-medium-3.1:batch

mistral-medium-3.1:batch is a chat model from OpenRouter, one of 463 chat models they offer. It is priced at $0.20 per 1M input tokens and $1.00 per 1M output tokens, ranking 1060 out of 3639 chat models by cost and cheaper than 70% of models in this category. mistral-medium-3.1:batch supports vision, function calling, prompt caching, structured output. It accepts up to 131K input tokens.

Pricing Information

Input Cost$0.20 per 1M tokens
Output Cost$1.00 per 1M tokens

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

Technical Specifications

Maximum Input Tokens131,072
Maximum Output Tokens104,857
Maximum Total Tokens104,857

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 131,072 input tokens. The maximum output length is 104,857 tokens.

Model Capabilities

Function Calling - Execute custom functions and tools
Vision - Process and understand images
Prompt Caching - Optimize repeated prompts
Response Schema - Structured output formatting

How mistral-medium-3.1:batch Pricing Compares

At $0.20 per 1M input tokens and $1.00 per 1M output tokens, mistral-medium-3.1:batch ranks 1060 out of 3639 chat models by input cost. It is more affordable compared to the median of $0.58 for chat models, and is cheaper than 70% of models in this category.

mistral-medium-3.1:batch is one of 463 OpenRouter chat models, with support for vision, function calling, prompt caching, structured output.

ModelProviderInput / 1M tokensOutput / 1M tokensvs mistral-medium-3.1:batch
gpt-5.4-nanoAzure$0.20$1.250%
gpt-5.4-nano-2026-03-17Azure$0.20$1.250%
gpt-4o-mini-2024-07-18Azure$0.17$0.66-17%

Alternatives to mistral-medium-3.1:batch

Similar chat models from other providers

Azure
gpt-5.4-nano
$0.20/1M input
0% vs mistral-medium-3.1:batch
Azure
gpt-5.4-nano-2026-03-17
$0.20/1M input
0% vs mistral-medium-3.1:batch
Azure
gpt-4o-mini-2024-07-18
$0.17/1M input
-17% vs mistral-medium-3.1:batch
Azure
gpt-5-mini
$0.25/1M input
+25% vs mistral-medium-3.1:batch
Azure
gpt-5.6-luna
$0.20/1M input
0% vs mistral-medium-3.1:batch

Frequently Asked Questions

Is mistral-medium-3.1:batch cheaper than gpt-5.4-nano?

No. mistral-medium-3.1:batch costs $0.20 per 1M input tokens while gpt-5.4-nano costs $0.20 per 1M input tokens, making gpt-5.4-nano 0% more affordable for input. However, mistral-medium-3.1:batch may offer different capabilities or performance characteristics that justify the price difference.

How does mistral-medium-3.1:batch pricing compare to the average chat model?

mistral-medium-3.1:batch input pricing is $0.20 per 1M tokens, which is 66% below the median of $0.58 for chat models. It ranks 1060 out of 3639 chat models by input cost, making it cheaper than 70% of models in this category. For output, it costs $1.00 per 1M tokens compared to the median of $1.66.

What makes mistral-medium-3.1:batch different from other OpenRouter models?

Among OpenRouter's 463 chat models, mistral-medium-3.1:batch ranks 137 by input cost.

What are the best alternatives to mistral-medium-3.1:batch?

The most comparable chat models to mistral-medium-3.1:batch are: gpt-5.4-nano from Azure ($0.20/1M input tokens); gpt-5.4-nano-2026-03-17 from Azure ($0.20/1M input tokens); gpt-4o-mini-2024-07-18 from Azure ($0.17/1M input tokens); gpt-5-mini from Azure ($0.25/1M 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 check if OpenRouter is down?

You can monitor OpenRouter service health in real time on the Bifrost OpenRouter Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.

How do I calculate mistral-medium-3.1:batch costs?

mistral-medium-3.1:batch 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 $0.20 and generating 1M output tokens costs $1.00.