head-to-head

OpenAI: GPT-5.4 Nano vs Mistral: Mistral Small 4

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

OpenAI: GPT-5.4 Nano Mistral: Mistral Small 4
Vendoropenaimistralai
Quality Score100100
Benchmark Score68.16.1
Input Price$0.20/M$0.15/M
Output Price$1.25/M$0.60/M
Context Window400,000262,144
Max Output128,000209,715
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index63.17.7
ai_index_agentic45.4-
ai_index_coding92.5-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Mistral Small 4 costs $0.30 and GPT-5.4 Nano costs $0.51, so Mistral Small 4 is about 1.7 times cheaper for the same work.

GPT-5.4 Nano reads up to 400,000 tokens at once, roughly 600 pages of text, against about 393 pages for Mistral Small 4.

On our blended benchmark score GPT-5.4 Nano leads 68.1 to 6.1.

Across the 20 tasks where they differ, GPT-5.4 Nano scores higher on 20 (SQL Generation, Code Review, Code Completion and others).

Pick GPT-5.4 Nano if you need long documents, benchmark performance or the stronger all-round task scores; pick Mistral Small 4 if you need lower cost.

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?

TaskOpenAI: GPT-5.4 NanoMistral: Mistral Small 4
SQL Generation 163 132
Code Review 158 127
Code Completion 133 129
Code Refactoring 157 129
Bug Fixing 168 131
Unit Test Generation 148 122
Code Documentation 140 127
Regex Writing 132 120
CI/CD Pipelines 139 118
Frontend Component Design 141 122
Data Analysis 159 125
CSV / Spreadsheet Cleanup 151 128
ETL Scripting 148 123
JSON Extraction 146 131
Bulk Data Labeling 134 129
OCR / Document Parsing 144 128
Table Extraction from PDFs 144 128
Long-Document Summarization 154 130
Short-Form Summarization 130 124
Blog Post Writing 135 120

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

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