Model Comparison
GPT OSS 120B vs Llama 3.3 70B InstructWhich is better in 2026?
GPT OSS 120B significantly outperforms across most benchmarks. GPT OSS 120B is 1.1x cheaper per token.
Verdict: GPT OSS 120B vs Llama 3.3 70B Instruct — which is better?
GPT OSS 120B (by OpenAI) and Llama 3.3 70B 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 OSS 120B outperforms in 2 benchmarks (GPQA, MMLU), while Llama 3.3 70B Instruct is better at 0 benchmarks. GPT OSS 120B significantly outperforms across most benchmarks.
On price, GPT OSS 120B is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT OSS 120B also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT OSS 120B if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- cost matters — it's about 1.1x cheaper per token
- you process long inputs — it offers a 131,072 token context window
- you want the most recent training data — it shipped Aug 2025
Choose Llama 3.3 70B Instruct if…
- you want predictable pricing at $0.20/M input and $0.20/M output
Performance Benchmarks
Comparative analysis across standard metrics
GPT OSS 120B outperforms in 2 benchmarks (GPQA, MMLU), while Llama 3.3 70B Instruct is better at 0 benchmarks.
GPT OSS 120B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT OSS 120B ($0.09/1M tokens) is 2.2x cheaper than Llama 3.3 70B Instruct ($0.20/1M tokens).
For output processing, GPT OSS 120B ($0.45/1M tokens) is 2.3x more expensive than Llama 3.3 70B Instruct ($0.20/1M tokens).
In conclusion, Llama 3.3 70B Instruct is more expensive than GPT OSS 120B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
GPT OSS 120B has 46.8B more parameters than Llama 3.3 70B Instruct, making it 66.9% larger.
Context Window
Maximum input and output token capacity
GPT OSS 120B accepts 131,072 input tokens compared to Llama 3.3 70B Instruct's 128,000 tokens. GPT OSS 120B can generate longer responses up to 131,072 tokens, while Llama 3.3 70B Instruct is limited to 128,000 tokens.
License
Usage and distribution terms
GPT OSS 120B is licensed under Apache 2.0, while Llama 3.3 70B Instruct uses Llama 3.3 Community License Agreement.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Llama 3.3 Community License Agreement
Open weights
Release Timeline
When each model was launched
GPT OSS 120B was released on 2025-08-05, while Llama 3.3 70B Instruct was released on 2024-12-06.
GPT OSS 120B is 8 months newer than Llama 3.3 70B Instruct.
Aug 5, 2025
10 months ago
8mo newerDec 6, 2024
1.5 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT OSS 120B is available from DeepInfra, Novita, OpenAI, Fireworks, Groq. Llama 3.3 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Sambanova, Cerebras, Bedrock, Together, Fireworks.
GPT OSS 120B
Llama 3.3 70B Instruct
Outputs Comparison
Key Takeaways
GPT OSS 120B
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about GPT OSS 120B vs Llama 3.3 70B Instruct.