Claude Opus 4.8 vs Llama 3.3 70B Instruct
anthropic/claude-opus-4.8 · meta-llama/llama-3.3-70b-instruct
As of November 1, 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 $0.2485 / $1.24 for Claude Opus 4.8, about 96% 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 Claude Opus 4.8 when context size wins. Claude Opus 4.8 carries the larger context window (1,000,000 vs 128,000 tokens), which can matter for long-document work.
Claude Opus 4.8 vs Llama 3.3 70B Instruct, side by side
| Spec | Claude Opus 4.8 | Llama 3.3 70B Instruct |
|---|---|---|
| Price · input / 1M | $0.2485 | $0.0145 |
| Price · output / 1M | $1.24 | $0.0465 |
| Context length | 1,000,000 | 128,000 |
| Max output tokens | 128,000 | 4,096 |
| Input modalities | text, image | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | — |
| Reasoning | Yes | — |
| % off list | 95% 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 1, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
Claude Opus 4.8 vs Llama 3.3 70B Instruct — FAQ
Is Claude Opus 4.8 or Llama 3.3 70B Instruct cheaper?
Llama 3.3 70B Instruct is cheaper on a blended token mix, by about 96%. 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 Claude Opus 4.8 and Llama 3.3 70B Instruct?
Claude Opus 4.8: $0.2485 in / $1.24 out per 1M tokens. Llama 3.3 70B Instruct: $0.0145 in / $0.0465 out per 1M tokens. That's roughly a 96% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Claude Opus 4.8 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.