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Llama 3.1 405B vs o1

Compare Meta (via Together AI) and OpenAI AI models

Meta (via Together AI)
Llama 3.1 405B
vs
OpenAI
o1

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

o1

Per Request:$0.045
Daily:$4.50
Monthly:$135.00
Yearly:$1,642.50

Cost Differences

+$0.03975
Per Request
+$3.975
Daily
+$119.25
Monthly
+$1,450.875
Yearly

o1 costs more than Llama 3.1 405B

Feature Comparison

FeatureLlama 3.1 405Bo1
ProviderMeta (via Together AI)OpenAI
Input Price$3.50/1M tokens$15.00/1M tokens
Output Price$3.50/1M tokens$60.00/1M tokens
Context Window128,000 tokens200,000 tokens
Max Output32,768 tokens65,536 tokens
Categoryflagshipreasoning
Capabilities
textcodereasoning
textreasoning
Release Date7/23/20249/12/2024

Llama 3.1 405B vs o1: Which Should You Choose?

Choosing between Llama 3.1 405B and o1 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 tokens77% cheaper than o1. Meanwhile, o1 offers a significantly larger context window at 200,000 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 o1 is reasoning. This means they're optimized for different workloads. Llama 3.1 405B is built for complex tasks that require deeper reasoning, while o1 offers better value for routine operations.

Output costs matter too. Llama 3.1 405B charges $3.50/1M output tokens vs $60.00 for o1. 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 need more capabilities (code)
  • • You're already using Meta (via Together AI)'s API ecosystem

Choose o1 when:

  • • You need a larger context window (200,000 tokens)
  • • You need longer outputs (up to 65,536 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))

o1 (OpenAI)

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Frequently Asked Questions

Which is cheaper, Llama 3.1 405B or o1?
Llama 3.1 405B is cheaper for input tokens at $3.50 per million tokens vs $15.00 for o1 — that's 77% savings on input costs.
What is the context window difference between Llama 3.1 405B and o1?
Llama 3.1 405B supports 128,000 tokens while o1 supports 200,000 tokens — a difference of 72,000 tokens in favor of o1.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, Llama 3.1 405B is the lower-cost option, while o1 offers a larger context window (200,000 vs 128,000 tokens). Choose Llama 3.1 405B for budget sensitivity or o1 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 o1 costs about $135.00/month. Overall, Llama 3.1 405B has lower combined input + output rates ($3.50 in, $3.50 out) vs o1.

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