Llama 3.1 405B vs o4-mini Deep Research
Llama 3.1 405B vs o4-mini Deep Research: o4-mini Deep Research is cheaper for input-heavy usage ($2.00/M vs $3.50/M input tokens), while o4-mini Deep Research is better for long-context tasks (200,000 tokens).
Direct answer: choose o4-mini Deep Research for lower token spend and choose o4-mini Deep Research 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
o4-mini Deep Research
Cost Differences
o4-mini Deep Research 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 $2.25/month ($27.375/year) versus o4-mini Deep Research.
Feature Comparison
| Feature | Llama 3.1 405B | o4-mini Deep Research |
|---|---|---|
| Provider | Meta (via Together AI) | OpenAI |
| Input Price | $3.50/1M tokens | $2.00/1M tokens |
| Output Price | $3.50/1M tokens | $8.00/1M tokens |
| Context Window | 128,000 tokens | 200,000 tokens |
| Max Output | 32,768 tokens | 32,768 tokens |
| Category | flagship | reasoning |
| Capabilities | textcodereasoning | textreasoningcode |
| Release Date | 7/23/2024 | 6/26/2025 |
Llama 3.1 405B vs o4-mini Deep Research: Which Should You Choose?
Choosing between Llama 3.1 405B and o4-mini Deep Research 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. Meanwhile, o4-mini Deep Research 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 o4-mini Deep Research is reasoning. This means they're optimized for different workloads. Llama 3.1 405B is built for complex tasks that require deeper reasoning, while o4-mini Deep Research offers better value for routine operations.
Output costs matter too. Llama 3.1 405B charges $3.50/1M output tokens vs $8.00 for o4-mini Deep Research. 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:
- • You're already using Meta (via Together AI)'s API ecosystem
Choose o4-mini Deep Research when:
- • Budget is a primary concern
- • You need a larger context window (200,000 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
- • Higher input cost than o4-mini Deep Research
- • Smaller context window than o4-mini Deep Research
o4-mini Deep Research
- • Input pricing: $2.00/M tokens
- • Output pricing: $8.00/M tokens
- • Context window: 200,000 tokens
- • Max output: 32,768 tokens
Watch out for
- • 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))
o4-mini Deep Research (OpenAI)
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Sign Up for OpenAI →Frequently Asked Questions
Which is cheaper, Llama 3.1 405B or o4-mini Deep Research?▼
What is the context window difference between Llama 3.1 405B and o4-mini Deep Research?▼
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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