Model Comparison

GPT-5 vs Llama 3.2 90B Instruct

GPT-5 significantly outperforms across most benchmarks. Llama 3.2 90B Instruct is 9.5x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

GPT-5 outperforms in 5 benchmarks (GPQA, MATH, MMLU, MMMU, MMMU-Pro), while Llama 3.2 90B Instruct is better at 0 benchmarks.

GPT-5 significantly outperforms across most benchmarks.

Sun May 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.2 90B Instruct costs less

For input processing, GPT-5 ($1.25/1M tokens) is 3.6x more expensive than Llama 3.2 90B Instruct ($0.35/1M tokens).

For output processing, GPT-5 ($10.00/1M tokens) is 25.0x more expensive than Llama 3.2 90B Instruct ($0.40/1M tokens).

In conclusion, GPT-5 is more expensive than Llama 3.2 90B Instruct.*

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

Lowest available price from all providers
Sun May 10 2026 • llm-stats.com
OpenAI
GPT-5
Input tokens$1.25
Output tokens$10.00
Best providerOpenAI
Meta
Llama 3.2 90B Instruct
Input tokens$0.35
Output tokens$0.40
Best providerDeepinfra
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Context Window

Maximum input and output token capacity

GPT-5 accepts 400,000 input tokens compared to Llama 3.2 90B Instruct's 128,000 tokens. Both models can generate responses up to 128,000 tokens.

OpenAI
GPT-5
Input400,000 tokens
Output128,000 tokens
Meta
Llama 3.2 90B Instruct
Input128,000 tokens
Output128,000 tokens
Sun May 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-5 and Llama 3.2 90B Instruct support multimodal inputs.

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

GPT-5

Text
Images
Audio
Video

Llama 3.2 90B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5 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-5

Proprietary

Closed source

Llama 3.2 90B Instruct

Llama 3.2

Open weights

Release Timeline

When each model was launched

GPT-5 was released on 2025-08-07, while Llama 3.2 90B Instruct was released on 2024-09-25.

GPT-5 is 11 months newer than Llama 3.2 90B Instruct.

GPT-5

Aug 7, 2025

9 months ago

10mo newer
Llama 3.2 90B Instruct

Sep 25, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

GPT-5 has a documented knowledge cutoff of 2024-09-30, while Llama 3.2 90B Instruct's cutoff date is not specified.

We can confirm GPT-5's training data extends to 2024-09-30, but cannot make a direct comparison without Llama 3.2 90B Instruct's cutoff date.

GPT-5

Sep 2024

Llama 3.2 90B Instruct

Provider Availability

GPT-5 is available from OpenAI. Llama 3.2 90B Instruct is available from DeepInfra, Bedrock, Fireworks, Together, Hyperbolic.

GPT-5

openai logo
OpenAI
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M

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

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Key Takeaways

Larger context window (400,000 tokens)
Higher GPQA score (85.7% vs 46.7%)
Higher MATH score (84.7% vs 68.0%)
Higher MMLU score (92.5% vs 86.0%)
Higher MMMU score (84.2% vs 60.3%)
Higher MMMU-Pro score (78.4% vs 45.2%)
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5
Meta
Llama 3.2 90B Instruct

FAQ

Common questions about GPT-5 vs Llama 3.2 90B Instruct.

Which is better, GPT-5 or Llama 3.2 90B Instruct?

GPT-5 significantly outperforms across most benchmarks. GPT-5 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.

How does GPT-5 compare to Llama 3.2 90B Instruct in benchmarks?

GPT-5 scores SWE-Lancer (IC-Diamond subset): 100.0%, COLLIE: 99.0%, Tau2 Telecom: 96.7%, OpenAI-MRCR: 2 needle 128k: 95.2%, AIME 2025: 94.6%. Llama 3.2 90B Instruct scores AI2D: 92.3%, DocVQA: 90.1%, MGSM: 86.9%, MMLU: 86.0%, ChartQA: 85.5%.

Is GPT-5 cheaper than Llama 3.2 90B Instruct?

Llama 3.2 90B Instruct is 3.6x cheaper for input tokens. GPT-5 costs $1.25/M input and $10.00/M output via openai. Llama 3.2 90B Instruct costs $0.35/M input and $0.40/M output via deepinfra.

What are the context window sizes for GPT-5 and Llama 3.2 90B Instruct?

GPT-5 supports 400K 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.

What are the main differences between GPT-5 and Llama 3.2 90B Instruct?

Key differences include context window (400K vs 128K), input pricing ($1.25 vs $0.35/M), licensing (Proprietary vs Llama 3.2). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5 and Llama 3.2 90B Instruct?

GPT-5 is developed by OpenAI and Llama 3.2 90B Instruct is developed by Meta.