GPT-4o (05-13) vs Llama 4 Maverick 17B Instruct FP8
GPT-4o (05-13) (2024) and Llama 4 Maverick 17B Instruct FP8 (2025) are compact production models from OpenAI and AI at Meta. GPT-4o (05-13) ships a 128K-token context window, while Llama 4 Maverick 17B Instruct FP8 ships a 1M-token context window. On pricing, Llama 4 Maverick 17B Instruct FP8 costs $0.15/1M input tokens versus $2.5/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Llama 4 Maverick 17B Instruct FP8 is ~1567% cheaper at $0.15/1M; pay for GPT-4o (05-13) only for coding workflow support.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-05-13 | 2025-04-05 |
| Context window | 128K | 1M |
| Parameters | 1.76T (8x222B MoE)* | 17B |
| Architecture | mixture of experts | mixture of experts |
| License | Proprietary | Open Source |
| Knowledge cutoff | 2023-10 | - |
Pricing and availability
| Pricing attribute | GPT-4o (05-13) | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Input price | $2.5/1M tokens | $0.15/1M tokens |
| Output price | $10/1M tokens | $0.6/1M tokens |
| Providers |
Capabilities
| Capability | GPT-4o (05-13) | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | 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 (05-13), multimodal input: GPT-4o (05-13), and code execution: GPT-4o (05-13). Both models share structured outputs, 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.
For cost, GPT-4o (05-13) lists $2.5/1M input and $10/1M output tokens, while Llama 4 Maverick 17B Instruct FP8 lists $0.15/1M input and $0.6/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 4 Maverick 17B Instruct FP8 lower by about $4.46 per million blended tokens. Availability is 4 providers versus 7, so concentration risk also matters.
Choose GPT-4o (05-13) when coding workflow support are central to the workload. Choose Llama 4 Maverick 17B Instruct FP8 when long-context analysis, larger context windows, and lower input-token cost 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
Which has a larger context window, GPT-4o (05-13) or Llama 4 Maverick 17B Instruct FP8?
Llama 4 Maverick 17B Instruct FP8 supports 1M tokens, while GPT-4o (05-13) supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, GPT-4o (05-13) or Llama 4 Maverick 17B Instruct FP8?
Llama 4 Maverick 17B Instruct FP8 is cheaper on tracked token pricing. GPT-4o (05-13) costs $2.5/1M input and $10/1M output tokens. Llama 4 Maverick 17B Instruct FP8 costs $0.15/1M input and $0.6/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is GPT-4o (05-13) or Llama 4 Maverick 17B Instruct FP8 open source?
GPT-4o (05-13) is listed under Proprietary. Llama 4 Maverick 17B Instruct FP8 is listed under Open Source. 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 (05-13) or Llama 4 Maverick 17B Instruct FP8?
GPT-4o (05-13) 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 (05-13) or Llama 4 Maverick 17B Instruct FP8?
GPT-4o (05-13) 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.
Where can I run GPT-4o (05-13) and Llama 4 Maverick 17B Instruct FP8?
GPT-4o (05-13) is available on Azure OpenAI, OpenAI API, OpenRouter, and Replicate API. Llama 4 Maverick 17B Instruct FP8 is available on Microsoft Foundry, Together AI, OpenRouter, Fireworks AI, and DeepInfra. 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.