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mistral.mistral-7b-instruct-v0:2 Cost Calculator - AWS Bedrock

Calculate the cost of using mistral.mistral-7b-instruct-v0:2 from AWS Bedrock for your AI applications

Pricing data last updated:

mistral.mistral-7b-instruct-v0:2 Cost Calculator

Mode: Chat

Max: 32,000 tokens

Max: 8,191 tokens

Cost Breakdown

Input Cost$0.00020000
Output Cost$0.00026000
Total Cost$0.00046000

Pricing Details

Input: $0.0000002000 per token
Output: $0.0000002600 per token
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Model Specifications

Limits

Max Input Tokens32,000
Max Output Tokens8,191
Max Tokens8,191

About mistral.mistral-7b-instruct-v0:2

mistral.mistral-7b-instruct-v0:2 is a chat model from AWS Bedrock, one of 317 chat models they offer. It is priced at $0.20 per 1M input tokens and $0.26 per 1M output tokens, ranking 562 out of 2292 chat models by cost and cheaper than 69% of models in this category. It accepts up to 32K input tokens.

Pricing Information

Input Cost$0.20 per 1M tokens
Output Cost$0.26 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 Tokens8,191
Maximum Total Tokens8,191

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 8,191 tokens.

How mistral.mistral-7b-instruct-v0:2 Pricing Compares

At $0.20 per 1M input tokens and $0.26 per 1M output tokens, mistral.mistral-7b-instruct-v0:2 ranks 562 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 69% of models in this category.

ModelProviderInput / 1M tokensOutput / 1M tokensvs mistral.mistral-7b-instruct-v0:2
Llama-2-13b-chat-hfAnyscale$0.25$0.25+25%
gpt-5.4-nanoAzure$0.20$1.250%
gpt-5.4-nano-2026-03-17Azure$0.20$1.250%

Alternatives to mistral.mistral-7b-instruct-v0:2

Similar chat models from other providers

Anyscale
Llama-2-13b-chat-hf
$0.25/1M input
+25% vs mistral.mistral-7b-instruct-v0:2
Azure
gpt-5.4-nano
$0.20/1M input
0% vs mistral.mistral-7b-instruct-v0:2
Azure
gpt-5.4-nano-2026-03-17
$0.20/1M input
0% vs mistral.mistral-7b-instruct-v0:2
Azure
gpt-4o-mini-2024-07-18
$0.17/1M input
-17% vs mistral.mistral-7b-instruct-v0:2
Azure
gpt-5-mini
$0.25/1M input
+25% vs mistral.mistral-7b-instruct-v0:2

Frequently Asked Questions

Is mistral.mistral-7b-instruct-v0:2 cheaper than Llama-2-13b-chat-hf?

Yes. mistral.mistral-7b-instruct-v0:2 costs $0.20 per 1M input tokens compared to Llama-2-13b-chat-hf's $0.25 per 1M input tokens, making it 25% more affordable. Both are chat models.

How does mistral.mistral-7b-instruct-v0:2 pricing compare to the average chat model?

mistral.mistral-7b-instruct-v0:2 input pricing is $0.20 per 1M tokens, which is 64% below the median of $0.55 for chat models. It ranks 562 out of 2292 chat models by input cost, making it cheaper than 69% of models in this category. For output, it costs $0.26 per 1M tokens compared to the median of $1.50.

What makes mistral.mistral-7b-instruct-v0:2 different from other AWS Bedrock models?

Among AWS Bedrock's 317 chat models, mistral.mistral-7b-instruct-v0:2 ranks 38 by input cost.

What are the best alternatives to mistral.mistral-7b-instruct-v0:2?

The most comparable chat models to mistral.mistral-7b-instruct-v0:2 are: Llama-2-13b-chat-hf from Anyscale ($0.25/1M input tokens); 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). 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.mistral-7b-instruct-v0:2 costs?

mistral.mistral-7b-instruct-v0:2 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 $0.26.