gpt-oss-120b vs Llama 3.1 8B Instruct (Comparative Analysis)
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Comparative Analysis: gpt-oss-120b vs. Llama 3.1 8B Instruct
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Overview
Llama 3.1 8B Instruct was released 1 year before gpt-oss-120b.
 gpt-oss-120b |  Llama 3.1 8B 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 | 131.1K tokens |
Release Date When this model first became publicly available | August 5, 2025 11 months ago August 5th, 2025 | July 23, 2024 2 years ago July 23rd, 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-120b | Llama 3.1 8B Instruct | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text |
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-120b is roughly 0.8x less expensive compared to Llama 3.1 8B Instruct for input tokens and roughly 2.1x more expensive for output tokens.
| gpt-oss-120b | Llama 3.1 8B Instruct | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.04 per million tokens | $0.05 per million tokens |
Output Token Cost Cost per million output tokens | $0.17 per million tokens | $0.08 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | Not specified | $0.02 per million tokens |
Benchmarks
Compare relevant benchmarks between gpt-oss-120b and Llama 3.1 8B Instruct.
| gpt-oss-120b | Llama 3.1 8B Instruct | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | 23.8 (Artificial Analysis index; higher is better) | 7.6 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | 30.4 (Artificial Analysis index; higher is better) | 5.4 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | 13.2 (Artificial Analysis index; higher is better) | 0.5 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,050 Elo (#91 in Game Dev (40.6% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes gpt-oss-120b and Llama 3.1 8B Instruct unique.
gpt-oss-120b 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 $0.04/M input and $0.17/M output tokens. Released August 5th, 2025.Llama 3.1 8B Instruct by Meta can use external tools and APIs, generates structured data. It can handle standard conversations with its 131.1K token context window. Very affordable at $0.05/M input and $0.08/M output tokens. Released July 23rd, 2024.Explore More Comparisons
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Compare Llama 3.1 8B Instruct with:
🚀Programming
Best models for coding and development
🎨Creative & Roleplay
Models optimized for creative writing
📢Marketing
Content creation and marketing tasks
💻Technology
Technical analysis and explanations
🔬Science
Scientific research and analysis
🌐Translation
Multilingual translation tasks