gpt-oss-20b vs Llama 3.2 11B Vision Instruct (Comparative Analysis)
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Comparative Analysis: gpt-oss-20b vs. Llama 3.2 11B Vision Instruct
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Overview
Llama 3.2 11B Vision Instruct was released 10 months before gpt-oss-20b.
gpt-oss-20b | Llama 3.2 11B Vision Instruct | |
|---|---|---|
Model Provider The organization behind this AI's development | OpenAI | Meta |
Input Context Window Maximum input tokens this model can process at once | 131.1K tokens | 131.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 131.1K tokens | 16.4K tokens |
Release Date When this model first became publicly available | August 5, 2025 11 months ago August 5th, 2025 | September 25, 2024 1 year ago September 25th, 2024 |
Knowledge Cutoff Latest training-data date reported by the provider | June 30, 2024 | December 31, 2023 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
gpt-oss-20b | Llama 3.2 11B Vision Instruct | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text🖼️Image |
Reasoning Controls Defaults and configurable reasoning effort | Always enabledEffort: High, Medium, LowDefault: Medium | Not reported |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | GPT | Llama3 |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Available on HuggingFace → |
Pricing
gpt-oss-20b is roughly 0.09x less expensive compared to Llama 3.2 11B Vision Instruct for input tokens and roughly 0.4x less expensive for output tokens.
gpt-oss-20b | Llama 3.2 11B Vision Instruct | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.03 per million tokens | $0.34 per million tokens |
Output Token Cost Cost per million output tokens | $0.13 per million tokens | $0.34 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.03 per million tokens | Not specified |
Benchmarks
Compare relevant benchmarks between gpt-oss-20b and Llama 3.2 11B Vision Instruct.
gpt-oss-20b | Llama 3.2 11B Vision Instruct | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | 14.9 (Artificial Analysis index; higher is better) | Benchmark not available. |
Coding Index Programming performance across independent evaluations | 20.7 (Artificial Analysis index; higher is better) | Benchmark not available. |
Agentic Index Ability to complete multi-step agentic tasks | 3.1 (Artificial Analysis index; higher is better) | Benchmark not available. |
Best Design Arena Score Highest human-preference Elo score across design arenas | 971 Elo (#96 in Data Viz (39.7% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes gpt-oss-20b and Llama 3.2 11B Vision Instruct unique.
gpt-oss-20b by OpenAI can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 131.1K token context window. Very affordable at $0.03/M input and $0.13/M output tokens. Released August 5th, 2025.
Llama 3.2 11B Vision Instruct by Meta understands both text and images, generates structured data. It can handle standard conversations with its 131.1K token context window. Very affordable at $0.34/M input and $0.34/M output tokens. Released September 25th, 2024.Explore More Comparisons
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Compare Llama 3.2 11B Vision Instruct with:
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Best models for coding and development
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