Ministral 14B vs GPT-5.6 Terra: Pricing Comparison

Compare pricing, capabilities, and costs for your LLM workloads.

Mistral

Ministral 14B

Pricing (per 1M tokens)

Input$0.2000
Output$0.2000
Cached Input$0.0200

Context & Output

Context Window262.1K tokens
Max Output16.4K tokens

Capabilities

Categorybudget
Multimodaltext
Fine-tuningNo
StreamingYes

OpenAI

GPT-5.6 Terra

Pricing (per 1M tokens)

Input$2.00
Output$12.00
Cached Input$0.2000
Batch Input$1.00
Batch Output$6.00

Context & Output

Context Window1M tokens
Max Output128K tokens

Capabilities

Categorymid
Multimodaltext + image
Fine-tuningNo
StreamingYes

Quick Verdict

Cheaper Input Price

Ministral 14B

90.0% cheaper

Cheaper Output Price

Ministral 14B

98.3% cheaper

Larger Context Window

GPT-5.6 Terra

+737.9K tokens

Cost Comparison

Sample workload: 1,000,000 input tokens + 1,000,000 output tokens

Ministral 14B

$0.4000

$0.2000/1M input + $0.2000/1M output

GPT-5.6 Terra

$14.00

$2.00/1M input + $12.00/1M output

Ministral 14B is 97.1% cheaper for this workload.

Frequently Asked Questions

Which is cheaper, Ministral 14B or GPT-5.6 Terra?
For input tokens, Ministral 14B is cheaper at $0.2000 per 1M tokens. For output tokens, Ministral 14B is cheaper at $0.2000 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of Ministral 14B vs GPT-5.6 Terra?
Ministral 14B has a context window of 262.1K tokens, while GPT-5.6 Terra has 1M tokens. GPT-5.6 Terra supports a larger context window of 1M tokens, which is beneficial for processing longer documents.

Need more tools?

Explore our complete suite of LLM calculators and comparison tools.