Llama 3.1 405B vs o1 Pro
Llama 3.1 405B vs o1 Pro: Llama 3.1 405B is cheaper for input-heavy usage ($3.50/M vs $150.00/M input tokens), while o1 Pro is better for long-context tasks (200,000 tokens).
Direct answer: choose Llama 3.1 405B for lower token spend and choose o1 Pro when your workload needs longer context.
Compare input and output token pricing, context windows, and monthly cost estimates on one page so you can pick the cheaper model fast.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Llama 3.1 405B
o1 Pro
Cost Differences
o1 Pro costs more than Llama 3.1 405B
Quick Recommendation
Winner for direct API pricing: Llama 3.1 405B. At the default workload, Llama 3.1 405B saves about $1,334.25/month ($16,233.375/year) versus o1 Pro.
Feature Comparison
| Feature | Llama 3.1 405B | o1 Pro |
|---|---|---|
| Provider | Meta (via Together AI) | OpenAI |
| Input Price | $3.50/1M tokens | $150.00/1M tokens |
| Output Price | $3.50/1M tokens | $600.00/1M tokens |
| Context Window | 128,000 tokens | 200,000 tokens |
| Max Output | 32,768 tokens | 100,000 tokens |
| Category | flagship | flagship |
| Capabilities | textcodereasoning | textvisioncodereasoning |
| Release Date | 7/23/2024 | 12/17/2024 |
Llama 3.1 405B vs o1 Pro: Which Should You Choose?
Choosing between Llama 3.1 405B and o1 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 tokens — 98% cheaper than o1 Pro. Meanwhile, o1 Pro 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.
Both models are in the flagship category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: Llama 3.1 405B would save you roughly $133,425.00/month compared to o1 Pro. For startups and indie developers, that difference can be significant.
Output costs matter too. Llama 3.1 405B charges $3.50/1M output tokens vs $600.00 for o1 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.
Multimodal capabilities: o1 Pro supports vision (image inputs) while Llama 3.1 405B is text-only. If your application needs image understanding, this narrows your choice.
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 o1 Pro when:
- • You need a larger context window (200,000 tokens)
- • You need more capabilities (vision)
- • You need longer outputs (up to 100,000 tokens)
- • You're already using OpenAI's API ecosystem
Pros and Caveats at a Glance
Llama 3.1 405B
- • Input pricing: $3.50/M tokens
- • Output pricing: $3.50/M tokens
- • Context window: 128,000 tokens
- • Max output: 32,768 tokens
Watch out for
- • Smaller context window than o1 Pro
o1 Pro
- • Input pricing: $150.00/M tokens
- • Output pricing: $600.00/M tokens
- • Context window: 200,000 tokens
- • Max output: 100,000 tokens
Watch out for
- • Higher input cost than Llama 3.1 405B
- • Higher output cost than Llama 3.1 405B
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 Pro (OpenAI)
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Sign Up for OpenAI →Frequently Asked Questions
Which is cheaper, Llama 3.1 405B or o1 Pro?▼
What is the context window difference between Llama 3.1 405B and o1 Pro?▼
Which model is better for AI Agent / Agentic Workflows?▼
Which model has better overall pricing for heavy usage?▼
Where can I compare Meta (via Together AI) and OpenAI API pricing beyond this model matchup?▼
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