GPT OSS 20B vs Llama 3.2 3B Instruct
GPT OSS 20B leads the LLM Stats Score 18.0 to -6.1. Llama 3.2 3B Instruct is 4.6x cheaper per token.
OpenAI · Meta · Updated for 2026
Which is better?
GPT OSS 20B leads the overall LLM Stats Score 18.0 to -6.1, ranking #215 overall.
In the 2 individual benchmarks reported for both models, GPT OSS 20B wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Llama 3.2 3B Instruct is roughly 4.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT OSS 20B also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT OSS 20B
- overall performance matters — it scores 18.0 and ranks #215 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- 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 3.2 3B Instruct
- cost matters — it's about 4.6x cheaper per token
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
7 reported for GPT OSS 20B · 15 for Llama 3.2 3B Instruct
GPT OSS 20B outperforms in 2 benchmarks (GPQA, MMLU), while Llama 3.2 3B Instruct is better at 0 benchmarks.
GPT OSS 20B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT OSS 20B ($0.03/1M tokens) is 3.0x more expensive than Llama 3.2 3B Instruct ($0.01/1M tokens).
For output processing, GPT OSS 20B ($0.14/1M tokens) is 7.0x more expensive than Llama 3.2 3B Instruct ($0.02/1M tokens).
In conclusion, GPT OSS 20B is more expensive than Llama 3.2 3B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
GPT OSS 20B has 17.7B more parameters than Llama 3.2 3B Instruct, making it 551.1% larger.
Context Window
Maximum input and output token capacity
GPT OSS 20B accepts 131,072 input tokens compared to Llama 3.2 3B Instruct's 128,000 tokens. GPT OSS 20B can generate longer responses up to 131,072 tokens, while Llama 3.2 3B Instruct is limited to 128,000 tokens.
License
Usage and distribution terms
GPT OSS 20B is licensed under Apache 2.0, while Llama 3.2 3B Instruct uses Llama 3.2 Community License.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Llama 3.2 Community License
Open weights
Release Timeline
When each model was launched
GPT OSS 20B was released on 2025-08-05, while Llama 3.2 3B Instruct was released on 2024-09-25.
GPT OSS 20B is 10 months newer than Llama 3.2 3B Instruct.
Aug 5, 2025
1.1 years ago
10mo newerSep 25, 2024
2.0 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 20B is available from DeepInfra, Novita, Fireworks, Groq, OpenAI. Llama 3.2 3B Instruct is available from DeepInfra.
GPT OSS 20B
Llama 3.2 3B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT OSS 20B and Llama 3.2 3B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT OSS 20B vs Llama 3.2 3B Instruct.