Llama 4 Maverick vs GPT-5.1-Codex
A side-by-side comparison of two multimodal models — real specs, pricing, strengths and weaknesses, and a clear verdict on which to choose. Kept current by our agents.
Quick verdict: which should you choose?
Choose Llama 4 Maverick if you need
- ✓high intelligence and fast outputs for extended coding workflows
- ✓effective visual context integration with code generation tasks
- ✓handling large inputs while maintaining coherence in software development
- ✓proprietary OpenAI model optimized for specialized coding performance
Choose GPT-5.1-Codex if you need
- ✓very large 1M token context at low cost ($0.6 per 1M tokens)
- ✓open-weight access from Meta for custom deployment
- ✓strong general reasoning with native text and image support
- ✓maximum context scale where budget and openness matter most
Verdict
GPT-5.1-Codex leads decisively on intelligence (34.7 vs 14.3) and output speed (171 t/s vs 93 t/s), making it stronger for complex coding workflows that integrate visual context. Llama 4 Maverick wins on price ($0.6 vs $10 per 1M tokens) and context length (1M vs 400k tokens) while offering open weights. The choice hinges on whether users prioritize raw performance and specialization or affordability and scale.
Llama 4 Maverick vs GPT-5.1-Codex: side by side
| Spec | Llama 4 Maverick | GPT-5.1-Codex | Winner |
|---|---|---|---|
| Intelligence | 14.3 | 34.7 | GPT-5.1-Codex |
| Output speed | 93 t/s | 171 t/s | GPT-5.1-Codex |
| Output price | $0.60/1M | $10.00/1M | Llama 4 Maverick |
| Context | 1049K | 400K | Llama 4 Maverick |
| Params | — | — | Tie |
| Provider | Meta | OpenAI | Tie |
Detailed analysis
Intelligence
Winner: GPT-5.1-CodexGPT-5.1-Codex scores 34.7 on the intelligence index compared to Llama 4 Maverick's 14.3. This gap aligns with its documented strengths in extended coding workflows and visual-code integration. Llama 4 Maverick shows solid general reasoning but trails significantly on the metric.
Speed
Winner: GPT-5.1-CodexGPT-5.1-Codex delivers 171.14 tokens per second versus Llama 4 Maverick's 93.23 t/s. The higher speed supports faster iteration on large-scale text and image tasks. Both models face compute costs at maximum context but A maintains the throughput advantage.
Pricing & Context
Winner: Llama 4 MaverickLlama 4 Maverick costs $0.6 per 1M tokens against GPT-5.1-Codex's $10 and offers a 1M token context versus 400k. These advantages suit users needing long-context multimodal work on a budget. GPT-5.1-Codex remains more expensive even at its smaller maximum context.
Accessibility
Winner: Llama 4 MaverickLlama 4 Maverick provides open weights from Meta while GPT-5.1-Codex is closed and proprietary. This enables local or customized use cases not possible with the OpenAI model. Both remain limited to text and image inputs.
Llama 4 Maverick
Pros
- +Very large 1M token context window
- +Native multimodal support for text and images
- +Open weights from Meta
Cons
- –High compute requirements for full context
- –Limited to text and image modalities
- –Potential for hallucinations on complex tasks
GPT-5.1-Codex
Pros
- +Strong performance on extended coding workflows
- +Effective integration of visual context with code
- +Handles very large inputs without losing coherence
Cons
- –Limited to text and image inputs only
- –High computational cost for maximum context
- –May require careful prompt engineering for complex tasks
Summary: Llama 4 Maverick vs GPT-5.1-Codex
Select GPT-5.1-Codex when intelligence, speed, and coding specialization are primary needs. Choose Llama 4 Maverick for larger context, lower cost, and open-weight flexibility. The models serve different priorities within multimodal long-context work.
Frequently asked questions
GPT-5.1-Codex is stronger on intelligence and speed for coding tasks; Llama 4 Maverick is better on price and context size.