# Gemini 3.1 Pro vs Meta Llama 3.1 405B Instruct

On provider list prices, Meta Llama 3.1 405B Instruct costs $3.50 per million input tokens against $2 for Gemini 3.1 Pro: effectively level. Output is $3.50 against $12 (3.4x). On Allocate both bill at list plus the 7% transaction fee.

## Specifications

| | Gemini 3.1 Pro | Meta Llama 3.1 405B Instruct |
| --- | --- | --- |
| Lab | Google | Meta |
| Access | API only | Open weights |
| Context window | 1M tokens | 4K tokens |
| List price, input | $2 / M tokens | $3.50 / M tokens |
| List price, output | $12 / M tokens | $3.50 / M tokens |
| Cached input | n/a | n/a |
| License | Proprietary API | Llama community |
| Fine-tunable | No | 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 $5,425 a month on Meta Llama 3.1 405B Instruct and $6,600 on Gemini 3.1 Pro at list: a gap of $1,175, or 1.2x.

Gemini 3.1 Pro reads 1M tokens per request against 4K for Meta Llama 3.1 405B Instruct, 244.1x the window. That decides which one can take whole documents without splitting them.

## Choose Gemini 3.1 Pro for

- Judgment-heavy workflows
- Long-context analysis
- Escalation tier above Flash

## Choose Meta Llama 3.1 405B Instruct for

- Open weights you can fine-tune and own

## Common questions

### Which is cheaper, Gemini 3.1 Pro or Meta Llama 3.1 405B Instruct?

Meta Llama 3.1 405B Instruct, on this workload shape. At list prices it is $3.50/$3.50 per million tokens in and out against $2/$12 for Gemini 3.1 Pro. Billed on Allocate: $3.75/$3.75 against $2.14/$12.84, list plus 7%.

### Which has the bigger context window?

Gemini 3.1 Pro: 1,000,000 tokens (1M) against 4,096 (4K) for Meta Llama 3.1 405B Instruct.

### Can I fine-tune Gemini 3.1 Pro or Meta Llama 3.1 405B Instruct?

Meta Llama 3.1 405B Instruct publishes open weights (Llama community) and can be fine-tuned on your own data. Gemini 3.1 Pro is a closed model served over API; its weights are not available.

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[HTML page](https://allocate.network/compare/google-gemini-3-1-pro-vs-meta-llama-3-1-405b-instruct) · [Gemini 3.1 Pro](https://allocate.network/models/google-gemini-3-1-pro.md) · [Meta Llama 3.1 405B Instruct](https://allocate.network/models/meta-llama-3-1-405b-instruct.md) · [Machine-readable catalog](https://allocate.network/catalog.json)