head-to-head

Mistral: Mistral Medium 3.5 vs Google: Gemini Pro Latest

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.

Mistral: Mistral Medium 3.5 Google: Gemini Pro Latest
Vendormistralai~google
Quality Score100100
Benchmark Score53.0-
Input Price$1.50/M$2.00/M
Output Price$7.50/M$10.00/M
Context Window262,1441,048,576
Max Output209,715943,718
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio-✓
Benchmark Scores
ai_index49.4-
ai_index_agentic31.3-
ai_index_coding77.4-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Mistral Medium 3.5 costs $3.38 and Gemini Pro Latest costs $4.50, so Mistral Medium 3.5 is about 1.3 times cheaper for the same work.

Gemini Pro Latest reads up to 1,048,576 tokens at once, roughly 1,573 pages of text, against about 393 pages for Mistral Medium 3.5.

Only Gemini Pro Latest offers audio input and video input.

Across the 20 tasks where they differ, Mistral Medium 3.5 scores higher on 19 (SQL Generation, Code Review, Code Refactoring and others), Gemini Pro Latest on 1 (Code Completion).

Pick Mistral Medium 3.5 if you need lower cost or the stronger all-round task scores; pick Gemini Pro Latest if you need long documents, audio input or video input.

Costs use current list prices per million tokens; page counts assume about 0.75 words per token and 500 words per page.

Who wins by task?

TaskMistral: Mistral Medium 3.5Google: Gemini Pro Latest
SQL Generation 153 132
Code Review 147 132
Code Completion 116 117
Code Refactoring 144 136
Bug Fixing 155 136
Unit Test Generation 140 124
Code Documentation 131 129
Regex Writing 128 117
CI/CD Pipelines 132 120
Frontend Component Design 137 122
Data Analysis 151 124
CSV / Spreadsheet Cleanup 142 132
ETL Scripting 138 128
JSON Extraction 134 121
Bulk Data Labeling 123 118
OCR / Document Parsing 139 131
Table Extraction from PDFs 139 131
Long-Document Summarization 141 136
Short-Form Summarization 119 113
Blog Post Writing 129 120

Scores reflect capability match + benchmark data + pricing for each task. Methodology →

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