Skip to main content

Llama 3.1 405B vs o3-pro

Compare Meta (via Together AI) and OpenAI AI models

Meta (via Together AI)
Llama 3.1 405B
vs
OpenAI
o3-pro

Cost Comparison (1000 input + 500 output tokens, 100 requests/day)

Llama 3.1 405B

Per Request:$0.005250
Daily:$0.525
Monthly:$15.75
Yearly:$191.625

o3-pro

Per Request:$0.06
Daily:$6.00
Monthly:$180.00
Yearly:$2,190.00

Cost Differences

+$0.05475
Per Request
+$5.475
Daily
+$164.25
Monthly
+$1,998.375
Yearly

o3-pro costs more than Llama 3.1 405B

Feature Comparison

FeatureLlama 3.1 405Bo3-pro
ProviderMeta (via Together AI)OpenAI
Input Price$3.50/1M tokens$20.00/1M tokens
Output Price$3.50/1M tokens$80.00/1M tokens
Context Window128,000 tokens1,000,000 tokens
Max Output32,768 tokens131,072 tokens
Categoryflagshipreasoning
Capabilities
textcodereasoning
textreasoningcode
Release Date7/23/20246/10/2025

Llama 3.1 405B vs o3-pro: Which Should You Choose?

Choosing between Llama 3.1 405B and o3-pro depends on your priorities: cost efficiency, context length, or raw capability. Llama 3.1 405B is the more affordable option at $3.50/1M input tokens83% cheaper than o3-pro. Meanwhile, o3-pro offers a significantly larger context window at 1,000,000 tokens vs 128,000 for Llama 3.1 405B.

These models come from different providers — Meta (via Together AI) and OpenAI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Meta (via Together AI), switching to OpenAIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.

These models target different tiers: Llama 3.1 405B is a flagship model while o3-pro is reasoning. This means they're optimized for different workloads. Llama 3.1 405B is built for complex tasks that require deeper reasoning, while o3-pro offers better value for routine operations.

Output costs matter too. Llama 3.1 405B charges $3.50/1M output tokens vs $80.00 for o3-pro. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Llama 3.1 405B has the edge here at $3.50/1M output tokens.

Best Use Cases

Choose Llama 3.1 405B when:

  • • Budget is a primary concern
  • • You're already using Meta (via Together AI)'s API ecosystem

Choose o3-pro when:

  • • You need a larger context window (1,000,000 tokens)
  • • You need longer outputs (up to 131,072 tokens)
  • • You're already using OpenAI's API ecosystem

Try Different Scenarios

Use the calculator below to see how costs change with different usage patterns

Llama 3.1 405B (Meta (via Together AI))

o3-pro (OpenAI)

Start using Llama 3.1 405B today

Sign Up for Meta (via Together AI)

Start using o3-pro today

Sign Up for OpenAI

Frequently Asked Questions

Which is cheaper, Llama 3.1 405B or o3-pro?
Llama 3.1 405B is cheaper for input tokens at $3.50 per million tokens vs $20.00 for o3-pro — that's 83% savings on input costs.
What is the context window difference between Llama 3.1 405B and o3-pro?
Llama 3.1 405B supports 128,000 tokens while o3-pro supports 1,000,000 tokens — a difference of 872,000 tokens in favor of o3-pro.
Which model is better for AI Agent / Agentic Workflows?
Both models support text, code, reasoning. For ai agent / agentic workflows, Llama 3.1 405B is the lower-cost option, while o3-pro offers a larger context window (1,000,000 vs 128,000 tokens). Choose Llama 3.1 405B for budget sensitivity or o3-pro for longer context tasks.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, Llama 3.1 405B costs about $15.75/month and o3-pro costs about $180.00/month. Overall, Llama 3.1 405B has lower combined input + output rates ($3.50 in, $3.50 out) vs o3-pro.

Related Comparisons

Related Articles