Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 2.1% higher average benchmark score. GPT-4.1 mini offers 824.3K more tokens in context window than Llama 3.1 70B Instruct. Llama 3.1 70B Instruct is $1.60 cheaper per million tokens. GPT-4.1 mini supports multimodal inputs. Llama 3.1 70B Instruct is available on 9 providers. Both models have their strengths depending on your specific coding needs.
OpenAI
GPT-4.1 mini is a multimodal language model developed by OpenAI. The model shows competitive results across 29 benchmarks. It excels particularly in CharXiv-D (88.4%), MMLU (87.5%), IFEval (84.1%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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.
Meta
Llama 3.1 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 74.7% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (95.1%), ARC-C (94.8%), API-Bank (90.0%). It supports a 256K token context window for handling large documents. The model is available through 9 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.
8 months newer
Llama 3.1 70B Instruct
Meta
2024-07-23
GPT-4.1 mini
OpenAI
2025-04-14
Cost per million tokens (USD)
GPT-4.1 mini
Llama 3.1 70B Instruct
Context window and performance specifications
Average performance across 44 common benchmarks
GPT-4.1 mini
Llama 3.1 70B Instruct
GPT-4.1 mini
2024-05-31
Available providers and their performance metrics
GPT-4.1 mini
OpenAI
ZeroEval
GPT-4.1 mini
Llama 3.1 70B Instruct
GPT-4.1 mini
Llama 3.1 70B Instruct
Llama 3.1 70B Instruct
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