Gemini 2.5 Pro vs Llama 3.3 70B Instruct
google/gemini-2.5-pro · meta-llama/llama-3.3-70b-instruct
As of November 2, 2026, Llama 3.3 70B Instruct is the cheaper API on UberLLM: $0.0145 per million input tokens and $0.0465 per million output, versus $0.3000 / $2.40 for Gemini 2.5 Pro, about 98% less when output is 3 tokens for every input token. These are the best prices on the market right now. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose Llama 3.3 70B Instruct to cut cost; choose Gemini 2.5 Pro when context size wins. Gemini 2.5 Pro carries the larger context window (1,048,576 vs 128,000 tokens), which can matter for long-document work.
Gemini 2.5 Pro vs Llama 3.3 70B Instruct, side by side
| Spec | Gemini 2.5 Pro | Llama 3.3 70B Instruct |
|---|---|---|
| Price · input / 1M | $0.3000 | $0.0145 |
| Price · output / 1M | $2.40 | $0.0465 |
| Context length | 1,048,576 | 128,000 |
| Max output tokens | 65,536 | 4,096 |
| Input modalities | text, image | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | — |
| Reasoning | Yes | — |
| % off list | 76% off | 85.5% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 2, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
Gemini 2.5 Pro vs Llama 3.3 70B Instruct — FAQ
Is Gemini 2.5 Pro or Llama 3.3 70B Instruct cheaper?
Llama 3.3 70B Instruct is cheaper on a blended token mix, by about 98%. A request costs what its provider charged, UberLLM adds no fee, and every request is listed with its cost in Activity.
What's the price difference between Gemini 2.5 Pro and Llama 3.3 70B Instruct?
Gemini 2.5 Pro: $0.3000 in / $2.40 out per 1M tokens. Llama 3.3 70B Instruct: $0.0145 in / $0.0465 out per 1M tokens. That's roughly a 98% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Gemini 2.5 Pro and Llama 3.3 70B Instruct with one API?
Yes. Both are served through a single OpenAI-compatible endpoint — set the base URL to https://api.uberllm.dev/v1 and your UberLLM key, then switch between them by changing the model id. Anthropic SDKs work via https://api.uberllm.dev/v1/messages.