Model Comparison

GPT-3.5 Turbo vs Llama 3.2 11B InstructWhich is better in 2026?

Llama 3.2 11B Instruct significantly outperforms across most benchmarks. Llama 3.2 11B Instruct is 15.0x cheaper per token.

Verdict: GPT-3.5 Turbo vs Llama 3.2 11B Instruct — which is better?

GPT-3.5 Turbo (by OpenAI) and Llama 3.2 11B Instruct (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

GPT-3.5 Turbo outperforms in 0 benchmarks, while Llama 3.2 11B Instruct is better at 6 benchmarks (GPQA, MATH, MathVista, MGSM, MMLU, MMMU). Llama 3.2 11B Instruct significantly outperforms across most benchmarks.

On price, Llama 3.2 11B Instruct is roughly 15.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Llama 3.2 11B Instruct also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose GPT-3.5 Turbo if…

  • you want predictable pricing at $0.50/M input and $1.50/M output

Choose Llama 3.2 11B Instruct if…

  • you want the strongest raw capability — it leads on 6 of 6 shared benchmarks
  • cost matters — it's about 15.0x cheaper per token
  • you process long inputs — it offers a 128,000 token context window
  • you want the most recent training data — it shipped Sep 2024
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

GPT-3.5 Turbo outperforms in 0 benchmarks, while Llama 3.2 11B Instruct is better at 6 benchmarks (GPQA, MATH, MathVista, MGSM, MMLU, MMMU).

Llama 3.2 11B Instruct significantly outperforms across most benchmarks.

Fri Jun 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.2 11B Instruct costs less

For input processing, GPT-3.5 Turbo ($0.50/1M tokens) is 10.0x more expensive than Llama 3.2 11B Instruct ($0.05/1M tokens).

For output processing, GPT-3.5 Turbo ($1.50/1M tokens) is 30.0x more expensive than Llama 3.2 11B Instruct ($0.05/1M tokens).

In conclusion, GPT-3.5 Turbo is more expensive than Llama 3.2 11B Instruct.*

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

Lowest available price from all providers
Fri Jun 26 2026 • llm-stats.com
OpenAI
GPT-3.5 Turbo
Input tokens$0.50
Output tokens$1.50
Best providerAzure
Meta
Llama 3.2 11B Instruct
Input tokens$0.05
Output tokens$0.05
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Llama 3.2 11B Instruct accepts 128,000 input tokens compared to GPT-3.5 Turbo's 16,385 tokens. Llama 3.2 11B Instruct can generate longer responses up to 128,000 tokens, while GPT-3.5 Turbo is limited to 4,096 tokens.

OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
Meta
Llama 3.2 11B Instruct
Input128,000 tokens
Output128,000 tokens
Fri Jun 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 3.2 11B Instruct supports multimodal inputs, whereas GPT-3.5 Turbo does not.

Llama 3.2 11B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-3.5 Turbo

Text
Images
Audio
Video

Llama 3.2 11B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-3.5 Turbo is licensed under a proprietary license, while Llama 3.2 11B Instruct uses Llama 3.2 Community License.

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

GPT-3.5 Turbo

Proprietary

Closed source

Llama 3.2 11B Instruct

Llama 3.2 Community License

Open weights

Release Timeline

When each model was launched

GPT-3.5 Turbo was released on 2023-03-21, while Llama 3.2 11B Instruct was released on 2024-09-25.

Llama 3.2 11B Instruct is 18 months newer than GPT-3.5 Turbo.

GPT-3.5 Turbo

Mar 21, 2023

3.3 years ago

Llama 3.2 11B Instruct

Sep 25, 2024

1.8 years ago

1.5yr newer

Knowledge Cutoff

When training data ends

GPT-3.5 Turbo has a knowledge cutoff of 2021-09-30, while Llama 3.2 11B Instruct has a cutoff of 2023-12-31.

Llama 3.2 11B Instruct has more recent training data (up to 2023-12-31), making it potentially better informed about events through that date compared to GPT-3.5 Turbo (2021-09-30).

GPT-3.5 Turbo

Sep 2021

Llama 3.2 11B Instruct

Dec 2023

2.3 yr newer

Provider Availability

GPT-3.5 Turbo is available from Azure, OpenAI. Llama 3.2 11B Instruct is available from DeepInfra, Sambanova, Bedrock, Groq, Together, Fireworks.

GPT-3.5 Turbo

azure logo
Azure
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M
openai logo
OpenAI
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M

Llama 3.2 11B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.05/1M
sambanova logo
Sambanova
Input Price:Input: $0.15/1MOutput Price:Output: $0.30/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.16/1MOutput Price:Output: $0.16/1M
groq logo
Groq
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
together logo
Together
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
fireworks logo
Fireworks
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

No standout differentiators in the data we have for this pair.

Larger context window (128,000 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (32.8% vs 30.8%)
Higher MATH score (51.9% vs 43.1%)
Higher MathVista score (51.5% vs 0.0%)
Higher MGSM score (68.9% vs 56.3%)
Higher MMLU score (73.0% vs 69.8%)
Higher MMMU score (50.7% vs 0.0%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GPT-3.5 Turbo and Llama 3.2 11B Instruct side-by-side, then vote on the output you prefer.

GPT-3.5 Turbo
✓ Preferred
Llama 3.2 11B Instruct
Open in Playground
AI Model Comparison Table
Feature
OpenAI
GPT-3.5 Turbo
Meta
Llama 3.2 11B Instruct

FAQ

Common questions about GPT-3.5 Turbo vs Llama 3.2 11B Instruct.

Which is better, GPT-3.5 Turbo or Llama 3.2 11B Instruct?

Llama 3.2 11B Instruct significantly outperforms across most benchmarks. GPT-3.5 Turbo is made by OpenAI and Llama 3.2 11B Instruct is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-3.5 Turbo compare to Llama 3.2 11B Instruct in benchmarks?

GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%. Llama 3.2 11B Instruct scores AI2D: 91.1%, DocVQA: 88.4%, ChartQA: 83.4%, VQAv2 (test): 75.2%, MMLU: 73.0%.

Is GPT-3.5 Turbo cheaper than Llama 3.2 11B Instruct?

Llama 3.2 11B Instruct is 10.0x cheaper for input tokens. GPT-3.5 Turbo costs $0.50/M input and $1.50/M output via azure. Llama 3.2 11B Instruct costs $0.05/M input and $0.05/M output via deepinfra.

What are the context window sizes for GPT-3.5 Turbo and Llama 3.2 11B Instruct?

GPT-3.5 Turbo supports 16K tokens and Llama 3.2 11B 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-3.5 Turbo and Llama 3.2 11B Instruct?

Key differences include context window (16K vs 128K), input pricing ($0.50 vs $0.05/M), multimodal support (no vs yes), licensing (Proprietary vs Llama 3.2 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-3.5 Turbo and Llama 3.2 11B Instruct?

GPT-3.5 Turbo is developed by OpenAI and Llama 3.2 11B Instruct is developed by Meta.