# Meta Llama 3.1 405B Instruct vs OpenAI GPT-OSS 120B

On provider list prices, OpenAI GPT-OSS 120B costs $0.15 per million input tokens against $3.50 for Meta Llama 3.1 405B Instruct: 23.3x apart. Output is $0.60 against $3.50 (5.8x). On Allocate both bill at list plus the 7% transaction fee.

## Specifications

| | Meta Llama 3.1 405B Instruct | OpenAI GPT-OSS 120B |
| --- | --- | --- |
| Lab | Meta | OpenAI |
| Access | Open weights | Open weights |
| Context window | 4K tokens | 128K tokens |
| List price, input | $3.50 / M tokens | $0.15 / M tokens |
| List price, output | $3.50 / M tokens | $0.60 / M tokens |
| Cached input | n/a | n/a |
| License | Llama community | Custom license |
| 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 $390 a month on OpenAI GPT-OSS 120B and $5,425 on Meta Llama 3.1 405B Instruct at list: a gap of $5,035, or 13.9x.

OpenAI GPT-OSS 120B reads 128K tokens per request against 4K for Meta Llama 3.1 405B Instruct, 32.0x the window. That decides which one can take whole documents without splitting them.

## Choose Meta Llama 3.1 405B Instruct for

- Training toward a model you own

## Choose OpenAI GPT-OSS 120B for

- The lower list price ($0.15 in / $0.60 out per M tokens)
- The longer context window (128K vs 4K tokens)

## Common questions

### Which is cheaper, Meta Llama 3.1 405B Instruct or OpenAI GPT-OSS 120B?

OpenAI GPT-OSS 120B, on this workload shape. At list prices it is $0.15/$0.60 per million tokens in and out against $3.50/$3.50 for Meta Llama 3.1 405B Instruct. Billed on Allocate: $0.16/$0.64 against $3.75/$3.75, list plus 7%.

### Which has the bigger context window?

OpenAI GPT-OSS 120B: 131,072 tokens (128K) against 4,096 (4K) for Meta Llama 3.1 405B Instruct.

### Can I fine-tune Meta Llama 3.1 405B Instruct or OpenAI GPT-OSS 120B?

Both publish open weights (Meta Llama 3.1 405B Instruct: Llama community; OpenAI GPT-OSS 120B: Custom license), 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-llama-3-1-405b-instruct-vs-openai-gpt-oss-120b) · [Meta Llama 3.1 405B Instruct](https://allocate.network/models/meta-llama-3-1-405b-instruct.md) · [OpenAI GPT-OSS 120B](https://allocate.network/models/openai-gpt-oss-120b.md) · [Machine-readable catalog](https://allocate.network/catalog.json)