AllocateGemini 3.1 Pro vs Llama 4 Scout
On provider list prices, Llama 4 Scout costs $0.18 per million input tokens against $2 for Gemini 3.1 Pro: 11.1x apart. Output is $0.59 against $12 (20.3x). On Allocate both bill at list plus the 7% transaction fee.
Gemini 3.1 Pro
Llama 4 ScoutSpecifications 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 $422.50 a month on Llama 4 Scout and $6,600 on Gemini 3.1 Pro at list: a gap of $6,178, or 15.6x.
Llama 4 Scout reads 1M tokens per request against 1M for Gemini 3.1 Pro, 1.0x 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 Llama 4 Scout for
- Whole-document reasoning
- High-volume extraction
- Fine-tuning under the Llama 4 license
Common questions
Which is cheaper, Gemini 3.1 Pro or Llama 4 Scout?
Llama 4 Scout, on this workload shape. At list prices it is $0.18/$0.59 per million tokens in and out against $2/$12 for Gemini 3.1 Pro. Billed on Allocate: $0.19/$0.63 against $2.14/$12.84, list plus 7%.
Which has the bigger context window?
Llama 4 Scout: 1,048,576 tokens (1M) against 1,000,000 (1M) for Gemini 3.1 Pro.
Can I fine-tune Gemini 3.1 Pro or Llama 4 Scout?
Llama 4 Scout 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.
Related comparisons
Run the numbers on your workload
Or don’t choose. On Allocate a route name is the contract: point yours at one model today, swap to the other tomorrow, and compare them on your live traffic with per-token metering.