Llama 3.3 70B Instruct vs GPT-5.2 Codex
meta-llama/llama-3.3-70b-instruct · openai/gpt-5.2-codex
As of October 31, 2026, Llama 3.3 70B Instruct is the cheaper API on UberLLM: $0.0479 per million input tokens and $0.1533 per million output, versus $1.48 / $11.84 for GPT-5.2 Codex, about 99% less when output is 3 tokens for every input token. These are the median prices buyers paid over the last 24 hours. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose Llama 3.3 70B Instruct to cut cost; choose GPT-5.2 Codex when context size wins. GPT-5.2 Codex carries the larger context window (256,000 vs 128,000 tokens), which can matter for long-document work.
Llama 3.3 70B Instruct vs GPT-5.2 Codex, side by side
| Spec | Llama 3.3 70B Instruct | GPT-5.2 Codex |
|---|---|---|
| Price · input / 1M | $0.0479 | $1.48 |
| Price · output / 1M | $0.1533 | $11.84 |
| Context length | 128,000 | 256,000 |
| Max output tokens | 4,096 | 65,536 |
| Input modalities | text | text, image |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | — | Yes |
| Reasoning | — | Yes |
| % off list | 52% off | 15% off |
Median prices buyers paid on UberLLM over the last 24 hours. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated October 31, 2026.
Llama 3.3 70B Instruct vs GPT-5.2 Codex — FAQ
Is Llama 3.3 70B Instruct or GPT-5.2 Codex cheaper?
Llama 3.3 70B Instruct is cheaper on a blended token mix, by about 99%. 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 Llama 3.3 70B Instruct and GPT-5.2 Codex?
Llama 3.3 70B Instruct: $0.0479 in / $0.1533 out per 1M tokens. GPT-5.2 Codex: $1.48 in / $11.84 out per 1M tokens. That's roughly a 99% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Llama 3.3 70B Instruct and GPT-5.2 Codex 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.