Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

OpenAI

GPT-4.1 nano

OpenAI

GPT-4.1 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.

Mistral AI

Mistral Large 2

Mistral AI

Mistral Large 2 is a language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 87.6% across 5 benchmarks. It excels particularly in GSM8k (93.0%), HumanEval (92.0%), MT-Bench (86.3%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Mistral AI

Mistral Large 2

Mistral AI

2024-07-24

OpenAI

GPT-4.1 nano

OpenAI

2025-04-14

8 months newer

Pricing Comparison

Cost per million tokens (USD)

OpenAI

GPT-4.1 nano

$7.50 cheaper
Input:$0.10
Output:$0.40
Mistral AI

Mistral Large 2

Input:$2.00
Output:$6.00

Performance Metrics

Context window and performance specifications

OpenAI

GPT-4.1 nano

Larger context
Max Context:1.1M
Mistral AI

Mistral Large 2

Max Context:256.0K
Parameters:123.0B

Average performance across 1 common benchmarks

OpenAI

GPT-4.1 nano

Average Score:80.1%
Mistral AI

Mistral Large 2

+3.9%
Average Score:84.0%

Performance comparison across key benchmark categories

OpenAI

GPT-4.1 nano

math
56.2%
code
74.5%
general
32.4%
Mistral AI

Mistral Large 2

math
+36.8%
93.0%
code
+17.5%
92.0%
general
+51.0%
83.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4.1 nano

2024-05-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

GPT-4.1 nano

1 providers

OpenAI

Throughput: 200 tok/s
Latency: 2ms
Mistral AI

Mistral Large 2

2 providers

Google

Throughput: 42 tok/s
Latency: 0.4ms

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.5ms
OpenAI

GPT-4.1 nano

Avg Score:80.1%
Providers:1
Mistral AI

Mistral Large 2

+3.9%
Avg Score:84.0%
Providers:2