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Mistral AIMinistral 3 8BVSOpenAIGPT-5.4 nano

Analysis by:the whichllmmodel Editorial Team|Updated: June 2026

Our Take

Standardized reasoning and coding benchmarks are currently pending verification for one or both of these models. We recommend testing Ministral 3 8B and GPT-5.4 nano directly in their respective provider playgrounds to see which fits your specific prompt styles best.
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Model Specs

Ministral 3 8B

Open SourceAPI Available

Benchmarks & Scores

Coding (swe-bench-pro)
N/A

complex codebases, multi-file repositories, and architectural planning

Reasoning (gpqa-diamond)
N/A

graduate-level science QA

Cost & Context

Cost (per 1M tokens)3.1x cheaper
$0.15Input: $0.15 | Output: $0.15
Context Window
262.14k tokens
Model Specs

GPT-5.4 nano

Benchmarks & Scores

Coding (swe-bench-pro)
52.4%

complex codebases, multi-file repositories, and architectural planning

Reasoning (gpqa-diamond)
82.8%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)
$0.46Input: $0.20 | Output: $1.25
Context WindowLarger
400k tokens

Frequently Asked Questions about Ministral 3 8B vs GPT-5.4 nano

Ministral 3 8B is cheaper than GPT-5.4 nano. Ministral 3 8B has a blended cost of $0.15/1M tokens, which is about 3.1x cheaper than GPT-5.4 nano at $0.46/1M tokens.

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