GPT-5.3-Codex vs Llama 4 Maverick
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 GPT-5.3-Codex and Llama 4 Maverick.
GPT-5.3-Codex
GPT-5.3-Codex is OpenAI’s most advanced agentic coding model, combining the frontier software engineering performance of GPT-5.2-Codex with the broader reasoning and professional knowledge capabilities of GPT-5.2. It achieves state-of-the-art results...
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.
Technical Specifications
| Specification | GPT-5.3-Codex | Llama 4 Maverick |
|---|---|---|
| Provider | OpenAI | Meta |
| Context Window | 400,000 tokens | 1,048,576 tokens |
| Agent Suitability | N/A | 89/100 |
| Time to First Token (TTFT) | N/A | 300 ms |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-02-24 | 2026-05-25 |
API Pricing Comparison
Input Price per Million Tokens
GPT-5.3-Codex
$1.75
Llama 4 Maverick
$0.15
Output Price per Million Tokens
GPT-5.3-Codex
$14.00
Llama 4 Maverick
$0.60
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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.
GPT-5.3-Codex Quirks & Gotchas
No developer gotchas reported.
Llama 4 Maverick Quirks & Gotchas
- ▸Self-hostable via Ollama/Docker — ideal for on-premise deployments
- ▸Requires specific system prompt for optimal function calling reliability