Model Comparison

GPT-4o mini vs Llama 3.3 70B Instruct

Llama 3.3 70B Instruct significantly outperforms across most benchmarks. Llama 3.3 70B Instruct is 1.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

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.

Thu Jun 04 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.3 70B Instruct costs less

For input processing, GPT-4o mini ($0.15/1M tokens) is 1.3x cheaper than Llama 3.3 70B Instruct ($0.20/1M 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

Lowest available price from all providers
Thu Jun 04 2026 • llm-stats.com
OpenAI
GPT-4o mini
Input tokens$0.15
Output tokens$0.60
Best providerAzure
Meta
Llama 3.3 70B Instruct
Input tokens$0.20
Output tokens$0.20
Best providerLambda
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. Llama 3.3 70B Instruct can generate longer responses up to 128,000 tokens, while GPT-4o mini is limited to 16,384 tokens.

OpenAI
GPT-4o mini
Input128,000 tokens
Output16,384 tokens
Meta
Llama 3.3 70B Instruct
Input128,000 tokens
Output128,000 tokens
Thu Jun 04 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

Text
Images
Audio
Video

Llama 3.3 70B Instruct

Text
Images
Audio
Video

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.

GPT-4o mini

Proprietary

Closed source

Llama 3.3 70B Instruct

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.

GPT-4o mini

Jul 18, 2024

1.9 years ago

Llama 3.3 70B Instruct

Dec 6, 2024

1.5 years ago

4mo newer

Knowledge 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.

GPT-4o mini

Oct 2023

Llama 3.3 70B Instruct

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Provider Availability

GPT-4o mini is available from Azure. Llama 3.3 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Sambanova, Cerebras, Bedrock, Together, Fireworks.

GPT-4o mini

azure logo
Azure
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

Llama 3.3 70B Instruct

lambda logo
Lambda
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.23/1MOutput Price:Output: $0.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.40/1MOutput Price:Output: $0.40/1M
groq logo
Groq
Input Price:Input: $0.59/1MOutput Price:Output: $7.90/1M
sambanova logo
Sambanova
Input Price:Input: $0.60/1MOutput Price:Output: $1.20/1M
cerebras logo
Cerebras
Input Price:Input: $0.70/1MOutput Price:Output: $0.80/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.72/1MOutput Price:Output: $0.72/1M
together logo
Together
Input Price:Input: $0.88/1MOutput Price:Output: $0.88/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Supports multimodal inputs
Less expensive input tokens
Meta
Less expensive output tokens
Has open weights
Higher GPQA score (50.5% vs 40.2%)
Higher HumanEval score (88.4% vs 87.2%)
Higher MATH score (77.0% vs 70.2%)
Higher MGSM score (91.1% vs 87.0%)
Higher MMLU score (86.0% vs 82.0%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4o mini
Meta
Llama 3.3 70B Instruct

FAQ

Common questions about GPT-4o mini vs Llama 3.3 70B Instruct.

Which is better, GPT-4o mini or Llama 3.3 70B Instruct?

Llama 3.3 70B Instruct significantly outperforms across most benchmarks. GPT-4o mini is made by OpenAI and Llama 3.3 70B Instruct is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-4o mini compare to Llama 3.3 70B Instruct in benchmarks?

GPT-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%. Llama 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%.

Is GPT-4o mini cheaper than Llama 3.3 70B Instruct?

GPT-4o mini is 1.3x cheaper for input tokens. GPT-4o mini costs $0.15/M input and $0.60/M output via azure. Llama 3.3 70B Instruct costs $0.20/M input and $0.20/M output via lambda.

What are the context window sizes for GPT-4o mini and Llama 3.3 70B Instruct?

GPT-4o mini supports 128K tokens and Llama 3.3 70B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-4o mini and Llama 3.3 70B Instruct?

Key differences include input pricing ($0.15 vs $0.20/M), multimodal support (yes vs no), licensing (Proprietary vs Llama 3.3 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4o mini and Llama 3.3 70B Instruct?

GPT-4o mini is developed by OpenAI and Llama 3.3 70B Instruct is developed by Meta.