Llama 3.3 70B Versatile (Groq) vs gpt-oss-20b (Groq)
Detailed pricing comparison and cost analysis.
Updated August 2026
Cost Simulator
| Feature | Llama 3.3 70B Versatile (Groq) | gpt-oss-20b (Groq) |
|---|---|---|
| Provider | Groq | Groq |
| Input Price (1M) | $0.59 | $0.07 |
| Output Price (1M) | $0.79 | $0.30 |
| Context Window | 128,000 | 128,000 |
Verdict
Llama 3.3 70B Versatile (Groq) costs $0.59 per 1M input tokens and $0.79 per 1M output tokens. gpt-oss-20b (Groq) costs $0.07 per 1M input tokens and $0.30 per 1M output tokens. gpt-oss-20b (Groq) is 87% cheaper on input tokens than Llama 3.3 70B Versatile (Groq). For output tokens, gpt-oss-20b (Groq) is the more affordable option at $0.30/1M vs $0.79.
On context window, Llama 3.3 70B Versatile (Groq) supports 128,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose Llama 3.3 70B Versatile (Groq)
- ✓ You are already integrated with Groq
When to choose gpt-oss-20b (Groq)
- ✓ You need the lowest input token cost ($ 0.07/1M)
- ✓ Your workload is output-heavy — gpt-oss-20b (Groq) generates text cheaper
- ✓ You are already integrated with Groq
Use the calculator above to simulate your specific workload and find the exact break-even point. For most applications, the cheapest model is the one that minimises your total monthly bill given your input-to-output token ratio.
Frequently Asked Questions
Is Llama 3.3 70B Versatile (Groq) cheaper than gpt-oss-20b (Groq)? ▼
gpt-oss-20b (Groq) is cheaper on input tokens at $0.07/1M vs $0.59/1M for Llama 3.3 70B Versatile (Groq) — a 87% saving.
What is the context window of Llama 3.3 70B Versatile (Groq) vs gpt-oss-20b (Groq)? ▼
Llama 3.3 70B Versatile (Groq) has a 128,000-token context window. gpt-oss-20b (Groq) has a 128,000-token context window. Llama 3.3 70B Versatile (Groq) supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: Llama 3.3 70B Versatile (Groq) or gpt-oss-20b (Groq)? ▼
The best choice depends on your use case. For cost efficiency on input tokens, gpt-oss-20b (Groq) is the cheaper option. For maximum context length, Llama 3.3 70B Versatile (Groq) supports 128,000 tokens. Use the comparison table above to find the right fit for your workload.