whichLlmmodel
Back to Dashboard

Mistral AIMistral Large 3VSMistral AIMistral Medium 3.5

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 Mistral Large 3 and Mistral Medium 3.5 directly in their respective provider playgrounds to see which fits your specific prompt styles best.
Was this recommendation helpful?
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)4.0x cheaper
$0.75Input: $0.50 | Output: $1.50
Context Window
262.14k tokens
Model Specs

Mistral Medium 3.5

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)
$3.00Input: $1.50 | Output: $7.50
Context Window
262.14k tokens

Frequently Asked Questions about Mistral Large 3 vs Mistral Medium 3.5

Mistral Large 3 is cheaper than Mistral Medium 3.5. Mistral Large 3 has a blended cost of $0.75/1M tokens, which is about 4.0x cheaper than Mistral Medium 3.5 at $3.00/1M 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