# Meta Llama 3 8B Instruct Lite vs OpenAI GPT-OSS 20B

On provider list prices, OpenAI GPT-OSS 20B costs $0.05 per million input tokens against $0.14 for Meta Llama 3 8B Instruct Lite: 2.8x apart. Output is $0.20 against $0.14. On Allocate both bill at list plus the 7% transaction fee.

## Specifications

| | Meta Llama 3 8B Instruct Lite | OpenAI GPT-OSS 20B |
| --- | --- | --- |
| Lab | Meta | OpenAI |
| Access | Open weights | Open weights |
| Context window | 8K tokens | 128K tokens |
| List price, input | $0.14 / M tokens | $0.05 / M tokens |
| List price, output | $0.14 / M tokens | $0.20 / M tokens |
| Cached input | n/a | n/a |
| License | Llama community | Apache 2.0 |
| Fine-tunable | Yes | Yes |

Specifications and provider list prices from the Allocate catalog, checked 2026-07-08. Billed price is list plus the 7% transaction fee.

## What the numbers say

Take 1,000,000 requests a month at 1,200 input and 350 output tokens each. That workload costs $130 a month on OpenAI GPT-OSS 20B and $217 on Meta Llama 3 8B Instruct Lite at list: a gap of $87.00, or 1.7x.

OpenAI GPT-OSS 20B reads 128K tokens per request against 8K for Meta Llama 3 8B Instruct Lite, 16.0x the window. That decides which one can take whole documents without splitting them.

## Choose Meta Llama 3 8B Instruct Lite for

- Training toward a model you own

## Choose OpenAI GPT-OSS 20B for

- The lower list price ($0.05 in / $0.20 out per M tokens)
- The longer context window (128K vs 8K tokens)
- Fine-tuning under a permissive license (Apache 2.0)

## Common questions

### Which is cheaper, Meta Llama 3 8B Instruct Lite or OpenAI GPT-OSS 20B?

OpenAI GPT-OSS 20B, on this workload shape. At list prices it is $0.05/$0.20 per million tokens in and out against $0.14/$0.14 for Meta Llama 3 8B Instruct Lite. Billed on Allocate: $0.053/$0.21 against $0.15/$0.15, list plus 7%.

### Which has the bigger context window?

OpenAI GPT-OSS 20B: 131,072 tokens (128K) against 8,192 (8K) for Meta Llama 3 8B Instruct Lite.

### Can I fine-tune Meta Llama 3 8B Instruct Lite or OpenAI GPT-OSS 20B?

Both publish open weights (Meta Llama 3 8B Instruct Lite: Llama community; OpenAI GPT-OSS 20B: Apache 2.0), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.

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[HTML page](https://allocate.network/compare/meta-meta-llama-3-8b-instruct-lite-vs-openai-gpt-oss-20b) · [Meta Llama 3 8B Instruct Lite](https://allocate.network/models/meta-meta-llama-3-8b-instruct-lite.md) · [OpenAI GPT-OSS 20B](https://allocate.network/models/openai-gpt-oss-20b.md) · [Machine-readable catalog](https://allocate.network/catalog.json)