Which is cheaper, Llama 3.1 8B Instruct or o1-pro?
As of August 20, 2026, Llama 3.1 8B Instruct is 100% cheaper on blended LLM API pricing. Llama 3.1 8B Instruct costs $0.03 per million input tokens and $0.03 per million output tokens ($0.06 blended 1M-in + 1M-out). o1-pro costs $150.00 / $600.00 per million tokens ($750.00 blended). Sources: https://llama.meta.com/ and https://developers.openai.com/api/docs/pricing. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does Llama 3.1 8B Instruct vs o1-pro cost per million tokens?
Llama 3.1 8B Instruct Meta API pricing is $0.03 input and $0.03 output per million tokens via Meta. o1-pro OpenAI API pricing is $150.00 input and $600.00 output per million tokens via OpenAI. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Which is better for coding, Llama 3.1 8B Instruct or o1-pro?
Llama 3.1 8B Instruct has a published HumanEval score of 72.6%. o1-pro does not have that eval on this page yet.
What is the context window for Llama 3.1 8B Instruct vs o1-pro?
Llama 3.1 8B Instruct supports a 131K token context window, while o1-pro supports 200K tokens. o1-pro offers a larger context window. Filling a larger window bills more input tokens, so the cheaper-per-million model can still cost more on long documents.
Which model performs better on benchmarks, Llama 3.1 8B Instruct or o1-pro?
o1-pro leads on 1 of 1 shared benchmarks versus Llama 3.1 8B Instruct's 0 wins. Check the comparison table for GPQA Diamond, SWE-bench, MMLU, HLE, and the other evals we track. Token price and benchmark score together are the usual LLM comparison, not either number alone.
Is Llama 3.1 8B Instruct or o1-pro better for production use?
Both Llama 3.1 8B Instruct and o1-pro are production API models. For cost-sensitive production traffic, Llama 3.1 8B Instruct has better economics on the blended 1M-in + 1M-out scale. For maximum capability, weight the benchmark table for your domain. Many production stacks route cheap models for drafts and a frontier model for the hard turn, which is usually cheaper than sending everything to the expensive API.
Can I switch between Llama 3.1 8B Instruct and o1-pro in my app?
Yes. Call Llama 3.1 8B Instruct through Meta and o1-pro through OpenAI with separate API keys, or through a gateway that already wraps both. Keep prompts in tokens, not characters, when you estimate the invoice. AnotherWrapper templates can swap providers without rewriting auth and billing.
How accurate is this Llama 3.1 8B Instruct vs o1-pro pricing data?
List rates are the latest published Meta API pricing and OpenAI API pricing, quoted per million tokens. Official rate sheets: https://llama.meta.com/ and https://developers.openai.com/api/docs/pricing. Prompt caching, batch APIs, and committed-use discounts can change the invoice. Benchmark scores are from official publications and independent evals, updated as new numbers land.
What is the output token limit for Llama 3.1 8B Instruct and o1-pro?
Llama 3.1 8B Instruct supports up to 131K output tokens per request, while o1-pro supports up to 100K output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.
Which model has better throughput, Llama 3.1 8B Instruct or o1-pro?
Llama 3.1 8B Instruct has a measured throughput of approximately 42 tokens/second. Throughput data for o1-pro is not yet available. Throughput (tokens per second) and time-to-first-token are why two models with the same per-million-token price can still feel different in chat and agents.
How do I switch the models in this Llama 3.1 8B Instruct vs o1-pro comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Llama 3.1 8B Instruct or o1-pro from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
