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ministral-3-14b-instruct-2512 Cost Calculator - Fireworks AI

Calculate the cost of using ministral-3-14b-instruct-2512 from Fireworks AI for your AI applications

Pricing data last updated:

ministral-3-14b-instruct-2512 Cost Calculator

Mode: Chat

Max: 256,000 tokens

Max: 256,000 tokens

Cost Breakdown

Input Cost$0.00020000
Output Cost$0.00020000
Total Cost$0.00040000

Pricing Details

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

Limits

Max Input Tokens256,000
Max Output Tokens256,000
Max Tokens256,000

About ministral-3-14b-instruct-2512

ministral-3-14b-instruct-2512 is a chat model from Fireworks AI, one of 245 chat models they offer. It is priced at $0.20 per 1M input tokens and $0.20 per 1M output tokens, ranking 646 out of 2168 chat models by cost and cheaper than 68% of models in this category. Its 256K-token context window is in the top 27% among chat models.

Pricing Information

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

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

Technical Specifications

Maximum Input Tokens256,000
Maximum Output Tokens256,000
Maximum Total Tokens256,000

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 256,000 input tokens. The maximum output length is 256,000 tokens.

How ministral-3-14b-instruct-2512 Pricing Compares

At $0.20 per 1M input tokens and $0.20 per 1M output tokens, ministral-3-14b-instruct-2512 ranks 646 out of 2168 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 68% of models in this category.

ministral-3-14b-instruct-2512 is one of 245 Fireworks AI chat models, its 256K-token context window places it in the top 27% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs ministral-3-14b-instruct-2512
ai21.jamba-1-5-mini-v1:0AWS Bedrock$0.20$0.400%
anthropic.claude-3-haiku-20240307-v1:0AWS Bedrock$0.25$1.25+25%
Llama-2-13b-chat-hfAnyscale$0.25$0.25+25%

Alternatives to ministral-3-14b-instruct-2512

Similar chat models from other providers

AWS Bedrock
ai21.jamba-1-5-mini-v1:0
$0.20/1M input
0% vs ministral-3-14b-instruct-2512
AWS Bedrock
anthropic.claude-3-haiku-20240307-v1:0
$0.25/1M input
+25% vs ministral-3-14b-instruct-2512
Anyscale
Llama-2-13b-chat-hf
$0.25/1M input
+25% vs ministral-3-14b-instruct-2512
AWS Bedrock
apac.anthropic.claude-3-haiku-20240307-v1:0
$0.25/1M input
+25% vs ministral-3-14b-instruct-2512
Azure
gpt-5.4-nano
$0.20/1M input
0% vs ministral-3-14b-instruct-2512

Frequently Asked Questions

Is ministral-3-14b-instruct-2512 cheaper than ai21.jamba-1-5-mini-v1:0?

No. ministral-3-14b-instruct-2512 costs $0.20 per 1M input tokens while ai21.jamba-1-5-mini-v1:0 costs $0.20 per 1M input tokens, making ai21.jamba-1-5-mini-v1:0 0% more affordable for input. However, ministral-3-14b-instruct-2512 may offer different capabilities or performance characteristics that justify the price difference.

How does ministral-3-14b-instruct-2512 pricing compare to the average chat model?

ministral-3-14b-instruct-2512 input pricing is $0.20 per 1M tokens, which is 64% below the median of $0.55 for chat models. It ranks 646 out of 2168 chat models by input cost, making it cheaper than 68% of models in this category. For output, it costs $0.20 per 1M tokens compared to the median of $1.44.

What makes ministral-3-14b-instruct-2512 different from other Fireworks AI models?

Among Fireworks AI's 245 chat models, ministral-3-14b-instruct-2512 ranks 83 by input cost.

What are the best alternatives to ministral-3-14b-instruct-2512?

The most comparable chat models to ministral-3-14b-instruct-2512 are: ai21.jamba-1-5-mini-v1:0 from AWS Bedrock ($0.20/1M input tokens); anthropic.claude-3-haiku-20240307-v1:0 from AWS Bedrock ($0.25/1M input tokens); Llama-2-13b-chat-hf from Anyscale ($0.25/1M input tokens); apac.anthropic.claude-3-haiku-20240307-v1:0 from AWS Bedrock ($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 large is ministral-3-14b-instruct-2512's context window?

ministral-3-14b-instruct-2512 supports up to 256,000 input tokens, placing it in the top 27% of chat models by context window size (rank 560 of 2093). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I check if Fireworks AI is down?

You can monitor Fireworks AI service health in real time on the Bifrost Fireworks AI 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 ministral-3-14b-instruct-2512 costs?

ministral-3-14b-instruct-2512 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 $0.20.