Model Comparison

GPT-4o mini vs Llama 3.2 90B Instruct

Llama 3.2 90B Instruct shows notably better performance in the majority of benchmarks. GPT-4o mini is 1.4x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

GPT-4o mini outperforms in 2 benchmarks (MATH, MGSM), while Llama 3.2 90B Instruct is better at 4 benchmarks (GPQA, MathVista, MMLU, MMMU).

Llama 3.2 90B Instruct shows notably better performance in the majority of benchmarks.

Mon Mar 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-4o mini costs less

For input processing, GPT-4o mini ($0.15/1M tokens) is 2.3x cheaper than Llama 3.2 90B Instruct ($0.35/1M tokens).

For output processing, GPT-4o mini ($0.60/1M tokens) is 1.5x more expensive than Llama 3.2 90B Instruct ($0.40/1M tokens).

In conclusion, Llama 3.2 90B Instruct is more expensive than GPT-4o mini.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Mar 30 2026 • llm-stats.com
OpenAI
GPT-4o mini
Input tokens$0.15
Output tokens$0.60
Best providerAzure
Meta
Llama 3.2 90B Instruct
Input tokens$0.35
Output tokens$0.40
Best providerDeepinfra
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 3.2 90B 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 3.2 90B Instruct
Input128,000 tokens
Output128,000 tokens
Mon Mar 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-4o mini and Llama 3.2 90B Instruct support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-4o mini

Text
Images
Audio
Video

Llama 3.2 90B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o mini is licensed under a proprietary license, while Llama 3.2 90B Instruct uses Llama 3.2.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-4o mini

Proprietary

Closed source

Llama 3.2 90B Instruct

Llama 3.2

Open weights

Release Timeline

When each model was launched

GPT-4o mini was released on 2024-07-18, while Llama 3.2 90B Instruct was released on 2024-09-25.

Llama 3.2 90B Instruct is 2 months newer than GPT-4o mini.

GPT-4o mini

Jul 18, 2024

1.7 years ago

Llama 3.2 90B Instruct

Sep 25, 2024

1.5 years ago

2mo newer

Knowledge Cutoff

When training data ends

GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while Llama 3.2 90B 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 3.2 90B Instruct's cutoff date.

GPT-4o mini

Oct 2023

Llama 3.2 90B Instruct

—

Provider Availability

GPT-4o mini is available from Azure. Llama 3.2 90B Instruct is available from DeepInfra, Bedrock, Fireworks, Together, Hyperbolic.

GPT-4o mini

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

Llama 3.2 90B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.35/1MOutput Price:Output: $0.40/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.72/1MOutput Price:Output: $0.72/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
together logo
Together
Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $2.00/1MOutput Price:Output: $2.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Less expensive input tokens
Higher MATH score (70.2% vs 68.0%)
Higher MGSM score (87.0% vs 86.9%)
Meta
Less expensive output tokens
Has open weights
Higher GPQA score (46.7% vs 40.2%)
Higher MathVista score (57.3% vs 56.7%)
Higher MMLU score (86.0% vs 82.0%)
Higher MMMU score (60.3% vs 59.4%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4o mini
Meta
Llama 3.2 90B Instruct

FAQ

Common questions about GPT-4o mini vs Llama 3.2 90B Instruct

Llama 3.2 90B Instruct shows notably better performance in the majority of benchmarks. GPT-4o mini is made by OpenAI and Llama 3.2 90B Instruct is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GPT-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%. Llama 3.2 90B Instruct scores AI2D: 92.3%, DocVQA: 90.1%, MGSM: 86.9%, MMLU: 86.0%, ChartQA: 85.5%.
GPT-4o mini is 2.3x cheaper for input tokens. GPT-4o mini costs $0.15/M input and $0.60/M output via azure. Llama 3.2 90B Instruct costs $0.35/M input and $0.40/M output via deepinfra.
GPT-4o mini supports 128K tokens and Llama 3.2 90B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include input pricing ($0.15 vs $0.35/M), licensing (Proprietary vs Llama 3.2). See the full comparison above for benchmark-by-benchmark results.
GPT-4o mini is developed by OpenAI and Llama 3.2 90B Instruct is developed by Meta.