GPT-4o mini vs Llama 3.3 70B Instruct
Llama 3.3 70B Instruct leads the LLM Stats Score 13.8 to 3.6. Llama 3.3 70B Instruct is 2.1x cheaper per token.
OpenAI · Meta · Updated for 2026
Which is better?
Llama 3.3 70B Instruct leads the overall LLM Stats Score 13.8 to 3.6, ranking #257 overall.
In the 5 individual benchmarks reported for both models, Llama 3.3 70B Instruct wins 5; this is a narrower head-to-head signal than the composite indexes.
On price, Llama 3.3 70B Instruct is roughly 2.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Llama 3.3 70B Instruct also accepts a larger context window (131,072 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-4o mini
- you want predictable pricing at $0.15/M input and $0.60/M output
Choose Llama 3.3 70B Instruct
- overall performance matters — it scores 13.8 and ranks #257 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 5 of 5 exact shared results
- cost matters — it's about 2.1x cheaper per token
- you process long inputs — it offers a 131,072 token context window
- you want the most recent training data — it shipped Dec 2024
- 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
9 reported for GPT-4o mini · 9 for Llama 3.3 70B Instruct
GPT-4o mini outperforms in 0 benchmarks, while Llama 3.3 70B Instruct is better at 5 benchmarks (GPQA, HumanEval, MATH, MGSM, 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-4o mini ($0.15/1M tokens) is 1.5x more expensive than Llama 3.3 70B Instruct ($0.10/1M tokens).
For output processing, GPT-4o mini ($0.60/1M tokens) is 3.0x more expensive than Llama 3.3 70B Instruct ($0.20/1M tokens).
In conclusion, GPT-4o mini is more expensive than Llama 3.3 70B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Llama 3.3 70B Instruct accepts 131,072 input tokens compared to GPT-4o mini's 128,000 tokens. Llama 3.3 70B Instruct can generate longer responses up to 131,072 tokens, while GPT-4o mini is limited to 16,384 tokens.
Input capabilities
Documented input modalities across available providers
GPT-4o mini supports multimodal inputs, whereas Llama 3.3 70B Instruct does not.
GPT-4o mini can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4o mini
Llama 3.3 70B Instruct
License
Usage and distribution terms
GPT-4o mini 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-4o mini was released on 2024-07-18, while Llama 3.3 70B Instruct was released on 2024-12-06.
Llama 3.3 70B Instruct is 5 months newer than GPT-4o mini.
Jul 18, 2024
2.2 years ago
Dec 6, 2024
1.8 years ago
4mo newerKnowledge Cutoff
When training data ends
GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while Llama 3.3 70B Instruct's cutoff date is not specified.
We can confirm GPT-4o mini's training data extends to 2023-10-01, but cannot make a direct comparison without Llama 3.3 70B Instruct's cutoff date.
Oct 2023
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Provider Availability
GPT-4o mini is available from Azure. Llama 3.3 70B Instruct is available from DeepInfra, Lambda, Hyperbolic, Groq, Sambanova, Cerebras, Bedrock, Together, Fireworks.
GPT-4o mini
Llama 3.3 70B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4o mini and Llama 3.3 70B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4o mini vs Llama 3.3 70B Instruct.