Which is cheaper: Llama 3.3 70B Instruct or o1?

Llama 3.3 70B Instruct is cheaper at $0.12/1M input tokens compared to $15.00/1M for o1.

Which model has lower latency: Llama 3.3 70B Instruct or o1?

Llama 3.3 70B Instruct delivers faster response times with an average TTFT of 450ms vs 2600ms for o1.

Llama 3.3 70B Instruct vs o1: Cost, Latency & Coding Benchmark (2026)

Which model is better: Llama 3.3 70B Instruct or o1?

**Llama 3.3 70B Instruct delivers radical cost savings and speed, though o1 leads in reasoning.** Llama is 99.2% cheaper ($0.12/$0.30 vs. $15.00/$60.00 per 1M tokens) with a 450ms TTFT, running 2,150ms faster than o1. Conversely, o1 outperforms in coding benchmarks, scoring 48.9% on SWE-bench versus Llama's 42.5%.

Verified daily via automated API latency tests and official documentation.

Zero-Shot RAG Verified

Verified Performance & Unit Economics Delta

Daily synchronized metrics from synthetic latency endpoints and benchmark evaluations.

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
Avg TTFT Response Latency	450ms	2600ms	Llama 3.3 70B Instruct (+2150ms faster)
SWE-bench Verified (Coding)	42.5%	48.9%	o1 (+6.4% lead)
Inference Value Score (IVR)	76.6 / 100	35.5 / 100	Llama 3.3 70B Instruct (+41.1 pts)

Interactive Monthly Token Economics & ROI Forecaster

Model your expected production workload across prompt (input) and completion (output) tokens with prompt caching economics.

Live Calculation Engine

Monthly Input Tokens (Prompts / Context) 10.0M Tokens

100K 50M 250M 500M+

Monthly Output Tokens (Completions / Responses) 2.5M Tokens

100K 10M 50M 100M+

Precise Input (Millions)

Precise Output (Millions)

Estimated Monthly Spend

Llama 3.3 70B Instruct $1.95

$0.12/1M in · $0.30/1M out

Prompt Cache: $0.030/1M read · $0.12/1M write

o1 $300.00

$15.00/1M in · $60.00/1M out

Prompt Cache: $7.500/1M read · $15.00/1M write

Projected Monthly Cost Reduction

$298.05 / mo

(99.4% lower cost with Llama 3.3 70B Instruct)

When to Choose Llama 3.3 70B Instruct

Choose Llama 3.3 70B Instruct when you need Cost-optimized on-premise deployments, fast text transformation, structured entity extraction, and enterprise dialogue pipelines. and have an infrastructure budget aligned with $0.12/1M tokens.

Explore all Llama 3.3 70B Instruct provider endpoints →

When to Choose o1

Choose o1 when you need Heavyweight reasoning model engineered for academic research, complex mathematics, and deep multimodal analysis. and prioritize OpenAI ecosystem integration at $15.00/1M tokens.

Explore all o1 provider endpoints →