Mistral Large 2 vs GPT-4.1 Nano

Performance benchmarks + pricing comparison — updated April 2026

Mistral Large 2

Mistral

Mistral's flagship model. Strong multilingual and coding capability.

Input	$2.00/M
Output	$6.00/M
Context	128K tokens
Best For	Enterprise coding, multilingual tasks
Benchmark	65/100

OpenAI

OpenAI's smallest and cheapest GPT-4.1 model. Fast responses for simple tasks.

Input	$0.100/M
Output	$0.400/M
Context	1M tokens
Best For	Simple queries, classification, fast responses

Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.

Scenario	Mistral Large 2	GPT-4.1 Nano	Savings
Small Script (1K lines)	$0.25	$0.02	GPT-4.1 Nano saves $0.23 (94%)
Medium Feature (10K lines)	$1.90	$0.12	GPT-4.1 Nano saves $1.79 (94%)
Large Project (50K lines)	$9.50	$0.58	GPT-4.1 Nano saves $8.93 (94%)
Code Review (5K lines)	$0.50	$0.03	GPT-4.1 Nano saves $0.47 (95%)

GPT-4.1 Nano wins on both price and performance — $0.100/M input with a benchmark score of N/A/100.

For most developers, this is the clear choice between these two models.

Anthropic's balanced model for coding and general tasks. Best price-performance ratio in the Claude family.

Anthropic's most powerful model. Best for complex reasoning and challenging coding tasks.

Previous generation Sonnet. Still excellent for coding tasks at the same price point.

Fast, cost-effective model for high-volume tasks. Great for code review and simple queries.

First generation Opus. Highest reasoning capability in the Claude 3 family.

First generation Sonnet. Balanced performance for general tasks.