Llama 4 Maverick vs o3 Deep Research
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Llama 4 Maverick and o3 Deep Research.
Llama 4 Maverick
Meta's next-generation open weights model. Delivers premium agentic capabilities, reasoning, and tool call compliance for local or self-hosted enterprise stacks.
o3 Deep Research
o3-deep-research is OpenAI's advanced model for deep research, designed to tackle complex, multi-step research tasks. Note: This model always uses the 'web_search' tool which adds additional cost.
Technical Specifications
| Specification | Llama 4 Maverick | o3 Deep Research |
|---|---|---|
| Provider | Meta | OpenAI |
| Context Window | 1,048,576 tokens | 200,000 tokens |
| Agent Suitability | 89/100 | N/A |
| Time to First Token (TTFT) | 300 ms | N/A |
| Deployment Model | self hostable | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-05-25 | 2025-10-10 |
API Pricing Comparison
Input Price per Million Tokens
Llama 4 Maverick
$0.15
o3 Deep Research
$10.00
Output Price per Million Tokens
Llama 4 Maverick
$0.60
o3 Deep Research
$40.00
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Llama 4 Maverick Quirks & Gotchas
- ▸Self-hostable via Ollama/Docker — ideal for on-premise deployments
- ▸Requires specific system prompt for optimal function calling reliability
o3 Deep Research Quirks & Gotchas
No developer gotchas reported.