GPT-4.1 nano vs Llama 3.3 70B Instruct
Llama 3.3 70B Instruct leads the LLM Stats Score 13.9 to 1.9. GPT-4.1 nano is 1.1x cheaper per token.
OpenAI · Meta · Updated for 2026
Which is better?
Llama 3.3 70B Instruct leads the overall LLM Stats Score 13.9 to 1.9, ranking #231 overall.
In the 3 individual benchmarks reported for both models, Llama 3.3 70B Instruct wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, GPT-4.1 nano is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-4.1 nano also accepts a larger context window (1,047,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-4.1 nano
- cost matters — it's about 1.1x cheaper per token
- you process long inputs — it offers a 1,047,576 token context window
- you want the most recent training data — it shipped Apr 2025
Choose Llama 3.3 70B Instruct
- overall performance matters — it scores 13.9 and ranks #231 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
24 reported for GPT-4.1 nano · 9 for Llama 3.3 70B Instruct
GPT-4.1 nano outperforms in 0 benchmarks, while Llama 3.3 70B Instruct is better at 3 benchmarks (GPQA, IFEval, MMLU).
Llama 3.3 70B Instruct significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4.1 nano ($0.10/1M tokens) is 2.0x cheaper than Llama 3.3 70B Instruct ($0.20/1M tokens).
For output processing, GPT-4.1 nano ($0.40/1M tokens) is 2.0x more expensive than Llama 3.3 70B Instruct ($0.20/1M tokens).
In conclusion, Llama 3.3 70B Instruct is more expensive than GPT-4.1 nano.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-4.1 nano accepts 1,047,576 input tokens compared to Llama 3.3 70B Instruct's 128,000 tokens. Llama 3.3 70B Instruct can generate longer responses up to 128,000 tokens, while GPT-4.1 nano is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
GPT-4.1 nano supports multimodal inputs, whereas Llama 3.3 70B Instruct does not.
GPT-4.1 nano can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4.1 nano
Llama 3.3 70B Instruct
License
Usage and distribution terms
GPT-4.1 nano is licensed under a proprietary license, while Llama 3.3 70B Instruct uses Llama 3.3 Community License Agreement.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Llama 3.3 Community License Agreement
Open weights
Release Timeline
When each model was launched
GPT-4.1 nano was released on 2025-04-14, while Llama 3.3 70B Instruct was released on 2024-12-06.
GPT-4.1 nano is 4 months newer than Llama 3.3 70B Instruct.
Apr 14, 2025
1.4 years ago
4mo newerDec 6, 2024
1.7 years ago
Knowledge Cutoff
When training data ends
GPT-4.1 nano has a documented knowledge cutoff of 2024-05-31, while Llama 3.3 70B Instruct's cutoff date is not specified.
We can confirm GPT-4.1 nano's training data extends to 2024-05-31, but cannot make a direct comparison without Llama 3.3 70B Instruct's cutoff date.
May 2024
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Provider Availability
GPT-4.1 nano is available from OpenAI. Llama 3.3 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Sambanova, Cerebras, Bedrock, Together, Fireworks.
GPT-4.1 nano
Llama 3.3 70B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4.1 nano and Llama 3.3 70B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4.1 nano vs Llama 3.3 70B Instruct.