Which model is better: Llama 3.3 70B Instruct or o1?
Llama 3.3 70B Instruct is 99.2% cheaper for input tokens ($0.12 vs. $15.00 per 1M tokens) and $0.30 vs. $60.00 for output tokens (125.0x cost advantage). In terms of operational performance, Llama 3.3 70B Instruct delivers lower response latency at 145ms TTFT (2455ms faster than o1) with 165 vs. 48 tok/s throughput. o1 leads coding evaluations at 48.9% SWE-bench Verified vs. 42.5% for Llama 3.3 70B Instruct and 78.0% vs. 55.6% on GPQA Diamond.
Verified daily via automated API latency tests and official documentation.
Zero-Shot RAG Verified
Verified Performance & Unit Economics Delta (12 Dimensions)
Daily synchronized metrics across token pricing, prompt cache economics, latency, throughput, and 5 capability benchmarks.
Metric / Dimension
Llama 3.3 70B Instruct
o1
Net Delta / Advantage
Input Cost / 1M Tokens
$0.12
$15.00
Llama 3.3 70B Instruct is 125.0x cheaper
Output Cost / 1M Tokens
$0.30
$60.00
Llama 3.3 70B Instruct (99.5% lower)
Prompt Cache Read / 1M
$0.030
$7.500
Llama 3.3 70B Instruct is 250.0x cheaper
Prompt Cache Write / 1M
$0.12
$15.00
Llama 3.3 70B Instruct is 125.0x cheaper
Context Window (Max Output)
131k (33k out)
205k (100k out)
o1 (1.6x larger context)
Avg TTFT Response Latency
145ms
2600ms
Llama 3.3 70B Instruct (2455ms faster)
Generation Speed (Throughput)
165 tok/s
48 tok/s
Llama 3.3 70B Instruct (+117 tok/s faster)
SWE-bench Verified (Coding)
42.5%
48.9%
o1 (+6.4% lead)
GPQA Diamond (PhD STEM)
55.6%
78%
o1 (+22.4% lead)
MMLU-Pro (Multi-Discipline)
76.8%
83.3%
o1 (+6.5% lead)
MATH-500 (Quantitative Logic)
77%
96.4%
o1 (+19.4% lead)
Inference Value Score (IVR)
74.6 / 100
37.2 / 100
Llama 3.3 70B Instruct (+37.4 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Llama 3.3 70B Instruct is cheaper at $0.12/1M input tokens ($0.30/1M output) compared to $15.00/1M input ($60.00/1M output) for o1.
Which model has lower TTFT latency and higher tok/s throughput: Llama 3.3 70B Instruct or o1?
Llama 3.3 70B Instruct delivers faster first-token latency at 145ms TTFT (165 tok/s throughput) compared to 2600ms TTFT (48 tok/s) for o1.
How do Llama 3.3 70B Instruct and o1 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Llama 3.3 70B Instruct scores 42.5% versus 48.9% for o1. On GPQA Diamond graduate-level STEM reasoning, Llama 3.3 70B Instruct scores 55.6% versus 78% for o1 (and 77% vs 96.4% on MATH-500).
When should you choose Llama 3.3 70B Instruct?
Choose Llama 3.3 70B Instruct (Meta) for cost-optimized on-premise deployments, fast text transformation, structured entity extraction, and enterprise dialogue pipelines — offering a 131k context window, 145ms TTFT, and $0.12/1M input pricing ($0.030/1M cached reads).
When should you choose o1?
Choose o1 (OpenAI) for legacy reasoning benchmarks, scientific literature review, and complex mathematical proofs — offering a 204k context window, 2600ms TTFT, and $15.00/1M input pricing ($7.500/1M cached reads).
