GPT-4o (11-20) vs Llama 4 Maverick 17B Instruct
GPT-4o (11-20) (2024) and Llama 4 Maverick 17B Instruct (2026) are compact production models from OpenAI and AI at Meta. GPT-4o (11-20) ships a 128K-token context window, while Llama 4 Maverick 17B Instruct ships a not-yet-sourced context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
Llama 4 Maverick 17B Instruct is safer overall; choose GPT-4o (11-20) when coding workflow support matters.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-11-20 | 2026-01-01 |
| Context window | 128K | — |
| Parameters | 1.76T (8x222B MoE)* | — |
| Architecture | mixture of experts | - |
| License | Proprietary | Proprietary |
| Knowledge cutoff | 2023-10 | - |
Pricing and availability
| Pricing attribute | GPT-4o (11-20) | Llama 4 Maverick 17B Instruct |
|---|---|---|
| Input price | - | $0.24/1M tokens |
| Output price | - | $0.97/1M tokens |
| Providers | - |
Capabilities
| Capability | GPT-4o (11-20) | Llama 4 Maverick 17B Instruct |
|---|---|---|
| Vision | Yes | No |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | Yes |
| Code execution | Yes | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: GPT-4o (11-20), multimodal input: Llama 4 Maverick 17B Instruct, structured outputs: Llama 4 Maverick 17B Instruct, and code execution: GPT-4o (11-20). Both models share the core language-model surface, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
Pricing coverage is uneven: GPT-4o (11-20) has no token price sourced yet and Llama 4 Maverick 17B Instruct has $0.24/1M input tokens. Provider availability is 0 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose GPT-4o (11-20) when coding workflow support are central to the workload. Choose Llama 4 Maverick 17B Instruct when provider fit and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Is GPT-4o (11-20) or Llama 4 Maverick 17B Instruct open source?
GPT-4o (11-20) is listed under Proprietary. Llama 4 Maverick 17B Instruct is listed under Proprietary. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, GPT-4o (11-20) or Llama 4 Maverick 17B Instruct?
GPT-4o (11-20) has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, GPT-4o (11-20) or Llama 4 Maverick 17B Instruct?
Llama 4 Maverick 17B Instruct has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for structured outputs, GPT-4o (11-20) or Llama 4 Maverick 17B Instruct?
Llama 4 Maverick 17B Instruct has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for code execution, GPT-4o (11-20) or Llama 4 Maverick 17B Instruct?
GPT-4o (11-20) has the clearer documented code execution signal in this comparison. If code execution is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run GPT-4o (11-20) and Llama 4 Maverick 17B Instruct?
GPT-4o (11-20) is available on the tracked providers still being sourced. Llama 4 Maverick 17B Instruct is available on AWS Bedrock. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.