whichLlmmodel
Back to Dashboard

Mistral AIMinistral 3 14BVSMistral AIMistral Large 3

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 14B and Mistral Large 3 directly in their respective provider playgrounds to see which fits your specific prompt styles best.
Was this recommendation helpful?
Model Specs

Ministral 3 14B

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)3.8x cheaper
$0.20Input: $0.20 | Output: $0.20
Context Window
262.14k tokens
Model Specs

Mistral Large 3

Open SourceAPI Available

Benchmarks & Scores

Coding (live-code-bench)
34.4%

scripting single-file apps or clearly defined functions

Reasoning (gpqa-diamond)
85.5%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)
$0.75Input: $0.50 | Output: $1.50
Context Window
262.14k tokens

Frequently Asked Questions about Ministral 3 14B vs Mistral Large 3

Ministral 3 14B is cheaper than Mistral Large 3. Ministral 3 14B has a blended cost of $0.20/1M tokens, which is about 3.8x cheaper than Mistral Large 3 at $0.75/1M tokens.

Do you want to find a model for your constraints?

Use our interactive model finder to filter LLMs by reasoning capability, coding performance, cost, and context length.

Open Model Finder