Model comparison · Updated 10 Oct 2026
Llama 3.2 1B Instruct vs gpt-oss-20b
gpt-oss-20b is about 1.5× cheaper on input ($0.02 against $0.03 per 1M tokens) and on output. gpt-oss-20b has the larger context window (131K against 60K tokens). For a support chatbot at 10,000 chats a day, the standard-tier bill is about $30.24 a month for Llama 3.2 1B Instruct and $16.20 for gpt-oss-20b.
Cite
Cite this page
ModelsAtlas. “Llama 3.2 1B Instruct vs gpt-oss-20b”. Retrieved 10 Oct 2026. https://modelsatlas.com/compare/meta/llama-3-2-1b-instruct/vs/openai/gpt-oss-20b
Model A
by Meta · weights not marked open · GRIDB2
$0.03
- Source
- Our catalogue
- Retrieved
- 17 Aug 2026
Key numbers
Standard tier · highlighted = better
What it costs for real workloads
Monthly, standard tier, 30 days
Llama 3.2 1B Instruct gpt-oss-20b · Derived from the standard-tier prices above, input and output tokens per request as stated, 30 days. Excludes caching discounts and batch. Try your own numbers.
On the atlas
Price band (A–H) × context band (1–6)
1 square apart. gpt-oss-20b (B3) sits 1 context band larger than Llama 3.2 1B Instruct (B2).
Same square as Llama 3.2 1B Instruct: Command R7B (12-2024) ($0.04), Mistral Small 3 ($0.05). Same square as gpt-oss-20b: Mistral Nemo ($0.03), gpt-oss-120b ($0.03), Gemma 3 12B ($0.05). Open B2 · Open B3
View the map as a table (2 squares)
| Square | Price band | Context band | Models |
|---|---|---|---|
| GRIDB2 | <$0.10 | 32–128K | Llama 3.2 1B Instruct, Command R7B (12-2024), Mistral Small 3 |
| GRIDB3 | <$0.10 | 128–256K | gpt-oss-20b, Mistral Nemo, gpt-oss-120b, Gemma 3 12B, Gemma 3 4B, Llama 3.1 8B Instruct, Llama 3.2 3B Instruct |
Capabilities side by side
Only what our records list
Neither record lists input types, so we do not claim any.
Which should you choose?
EditorialChoose Llama 3.2 1B Instruct if…
Nothing in the recorded numbers favours Llama 3.2 1B Instruct over gpt-oss-20b. Pick it for what our records do not cover — your own tests, or an account you already have with Meta.
Choose gpt-oss-20b if…
- you pay by the token: it costs $0.02 per 1M input against $0.03
- output dominates your bill: $0.09 per 1M output against $0.20
- your prompts are long: it takes 131,072 tokens against 60,000
- work can wait: it lists a batch tier and the other does not
Each reason is a fact from the tables above. Picking between them is our judgement, and we do not benchmark quality: price and context are what we can measure, so test both on your own prompts before you commit.
Questions
Is Llama 3.2 1B Instruct better than gpt-oss-20b?
Which is cheaper, Llama 3.2 1B Instruct or gpt-oss-20b?
How much does each cost per 1M tokens?
Which has the larger context window?
Do both offer batch pricing?
Can both read images or audio?
Is either model open-weight?
What would each cost for a support chatbot?
About the two models
Llama 3.2 1B Instruct
By Meta. $0.03 input and $0.20 output per 1M tokens, 60K context, atlas square B2. Tiers listed: standard.
Full specs & pricing →gpt-oss-20b
By OpenAI. $0.02 input and $0.09 output per 1M tokens, 131K context, atlas square B3. Tiers listed: standard, batch.
Full specs & pricing →Compare Llama 3.2 1B Instruct with…
- Command R7B (12-2024)$0.04
- Mistral Small 3$0.05
- Mistral Nemo$0.03
- gpt-oss-120b$0.03
- All alternatives →
Compare gpt-oss-20b with…
- gpt-oss-120b$0.03
- Mistral Nemo$0.03
- Gemma 3 12B$0.05
- Gemma 3 4B$0.05
- All alternatives →
Keep going in your AI
Opens with this page as the source. We add nothing else to the prompt.
- Is Llama 3.2 1B Instruct better than gpt-oss-20b?
- Which is cheaper, Llama 3.2 1B Instruct or gpt-oss-20b?
- How much does each cost per 1M tokens?