token.app › Compare › Llama 3.1 8B Instruct vs gpt-oss-20b
Llama 3.1 8B Instruct vs gpt-oss-20b
gpt-oss-20b leads on 2 of 2 shared benchmarks. gpt-oss-20b is 1.6× cheaper per token on a blended 3:1 basis.
Head to head
Blended price uses a 3:1 input:output mix
| Llama 3.1 8B Instruct | gpt-oss-20b | |
|---|---|---|
| Provider | Meta | OpenAI |
| Input $/1M | $0.050 | $0.018 |
| Output $/1M | $0.080 | $0.090 |
| Blended $/1M | $0.058 | $0.036 |
| Context window | 131K | 131K |
| Max output | 118K | 33K |
| Released | Jul 2024 | Aug 2025 |
| Licence | Open weights | Open weights |
| GPQA Diamond | 27.0% | 60.8% |
| OTIS Mock AIME | 1.7% | 65.3% |
Benchmark scores independently run and published by Epoch AI, 'AI Benchmarking Hub', used under CC BY 4.0. Only benchmarks with a score for BOTH models are compared.
Choose Llama 3.1 8B Instruct if…
- No clear advantage on the data we hold.
Choose gpt-oss-20b if…
- Costs less per token — $0.036 vs $0.058 blended
- Higher GPQA Diamond (60.8% vs 27.0%)
- Higher OTIS Mock AIME (65.3% vs 1.7%)
- Newer model (released Aug 2025)
FAQ
Which is better, Llama 3.1 8B Instruct or gpt-oss-20b?
Across the 2 benchmarks both models have independently-run scores for, Llama 3.1 8B Instruct leads on 0 and gpt-oss-20b leads on 2. Benchmarks are one input — price and context window are on this page too.
Is Llama 3.1 8B Instruct cheaper than gpt-oss-20b?
gpt-oss-20b is cheaper: $0.036 versus $0.058 per million tokens blended at 3:1 input:output. Input alone: $0.050 vs $0.018. Output alone: $0.080 vs $0.090.
What context windows do Llama 3.1 8B Instruct and gpt-oss-20b have?
Llama 3.1 8B Instruct: 131,072 tokens. gpt-oss-20b: 131,072 tokens.
Who makes Llama 3.1 8B Instruct and gpt-oss-20b?
Llama 3.1 8B Instruct is made by Meta. gpt-oss-20b is made by OpenAI.
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