Llama 3.1 70B Instruct vs o1-preview
o1-preview leads the LLM Stats Score 16.6 to 7.6. Llama 3.1 70B Instruct is 131.3x cheaper per token.
Meta · OpenAI · Updated for 2026
Which is better?
o1-preview leads the overall LLM Stats Score 16.6 to 7.6, ranking #220 overall.
In the 2 individual benchmarks reported for both models, o1-preview wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Llama 3.1 70B Instruct is roughly 131.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Llama 3.1 70B Instruct
- cost matters — it's about 131.3x cheaper per token
- you need open weights you can self-host or fine-tune
Choose o1-preview
- overall performance matters — it scores 16.6 and ranks #220 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you want the most recent training data — it shipped Sep 2024
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
18 reported for Llama 3.1 70B Instruct · 8 for o1-preview
Llama 3.1 70B Instruct outperforms in 0 benchmarks, while o1-preview is better at 2 benchmarks (GPQA, MMLU).
o1-preview significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Llama 3.1 70B Instruct ($0.20/1M tokens) is 75.0x cheaper than o1-preview ($15.00/1M tokens).
For output processing, Llama 3.1 70B Instruct ($0.20/1M tokens) is 300.0x cheaper than o1-preview ($60.00/1M tokens).
In conclusion, o1-preview is more expensive than Llama 3.1 70B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 128,000 tokens. Llama 3.1 70B Instruct can generate longer responses up to 128,000 tokens, while o1-preview is limited to 32,768 tokens.
License
Usage and distribution terms
Llama 3.1 70B Instruct is licensed under Llama 3.1 Community License, while o1-preview uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Llama 3.1 Community License
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Llama 3.1 70B Instruct was released on 2024-07-23, while o1-preview was released on 2024-09-12.
o1-preview is 2 months newer than Llama 3.1 70B Instruct.
Jul 23, 2024
2.2 years ago
Sep 12, 2024
2.0 years ago
1mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Llama 3.1 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Cerebras, Together, Fireworks, Bedrock, Sambanova. o1-preview is available from OpenAI, Azure.
Llama 3.1 70B Instruct
o1-preview
Outputs Comparison
Judge for yourself.
Run your own prompts against Llama 3.1 70B Instruct and o1-preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about Llama 3.1 70B Instruct vs o1-preview.