Llama 3.3 70B vs o1
Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.
o1 by OpenAI wins on 12 of 16 benchmarks against Llama 3.3 70B by Meta, which leads on 4. This head-to-head comparison covers coding, math, reasoning, speed, and pricing metrics from our benchmark data.
Category-by-Category Breakdown
General Intelligence: In general intelligence, o1 scores 1360 on Chatbot Arena ELO compared to Llama 3.3 70B's 1210, while o1 scores 82.0% on MMLU-Pro compared to Llama 3.3 70B's 60.0%, while o1 scores 47.0% on SimpleQA compared to Llama 3.3 70B's 21.0%.
Coding: In coding, o1 scores 89.0% on HumanEval+ compared to Llama 3.3 70B's 72.0%, while o1 scores 48.9% on SWE-bench Verified compared to Llama 3.3 70B's 22.0%, while o1 scores 55.0% on LiveCodeBench compared to Llama 3.3 70B's 26.0%, while o1 scores 39.7 on AA Coding Index compared to Llama 3.3 70B's 11.9.
Math: In math, o1 scores 94.8% on MATH compared to Llama 3.3 70B's 60.0%, while o1 scores 97.5% on GSM8K compared to Llama 3.3 70B's 82.0%.
Reasoning: In reasoning, o1 scores 77.3% on GPQA Diamond compared to Llama 3.3 70B's 34.0%, while o1 scores 32.0% on ARC-AGI compared to Llama 3.3 70B's 10.0%.
Context: In context, o1 scores 200K on Context Length compared to Llama 3.3 70B's 131K.
Pricing Comparison
Llama 3.3 70B costs $0.10/1M input tokens and $0.32/1M output tokens, while o1 costs $15.0/1M input and $60.0/1M output. Llama 3.3 70B is the more affordable option for API usage.
Speed Comparison
Llama 3.3 70B generates output at 90 tok/s compared to o1's 35 tok/s, and the time to first token is 300 ms for Llama 3.3 70B versus 1000 ms for o1. Llama 3.3 70B delivers faster throughput.
Verdict
For developers prioritizing affordability and speed, Llama 3.3 70B has the edge. For those who value coding and general intelligence and math, o1 is the stronger choice.
View Individual Model Pages
Llama 3.3 70B vs o1 — FAQ
Which is better, Llama 3.3 70B or o1?
o1 wins on more benchmarks overall (12 vs 4). However, the best choice depends on your specific needs — each model excels in different areas.
How does Llama 3.3 70B compare to o1 for coding?
o1 is better for coding, scoring 48.9% on SWE-bench Verified compared to 22.0%. SWE-bench tests real-world software engineering by resolving actual GitHub issues.
Is Llama 3.3 70B cheaper than o1?
Yes, Llama 3.3 70B is cheaper. Llama 3.3 70B costs $0.10/1M input and $0.32/1M output tokens. o1 costs $15.0/1M input and $60.0/1M output tokens.
Which is faster, Llama 3.3 70B or o1?
Llama 3.3 70B is faster, generating output at 90 tok/s compared to 35 tok/s. Faster output speed means shorter wait times for API responses.
What benchmarks does the Llama 3.3 70B vs o1 comparison cover?
This comparison covers 16 benchmarks including Chatbot Arena ELO, MMLU-Pro, HumanEval+, SimpleQA, MATH, GPQA Diamond, SWE-bench Verified, Output Speed, and more. Metrics span general intelligence, coding, math, reasoning, speed, and cost categories.