Meta Llama 4 family vs OpenAI GPT family (GPT-5 / GPT-4o / o3 / o4)
Meta Llama 4 family vs OpenAI GPT family (GPT-5 / GPT-4o / o3 / o4): side-by-side comparison of two foundation models (substrate reference) systems — architecture, taxonomy, license, pricing, MCP/A2A support, and direct edges.
Meta Llama 4 family · OpenAI GPT family (GPT-5 / GPT-4o / o3 / o4)
Cost & capability
| Meta Llama 4 family | OpenAI GPT family (GPT-5 / GPT-4o / o3 / o4) | |
|---|---|---|
| Capability band | frontier | frontier |
| Capability composite | 80 | 95 |
| Cost tier | mid | mid |
| $/Mtok input | 0.20 | 1.25 |
| $/Mtok output | 3.00 | 10 |
| Use cases | Scoped Agentic, Code Generation Focused, Analytical Summarization, Memory Augmented Chat, Offline Capable | Scoped Agentic, Code Generation Focused, Analytical Summarization, Memory Augmented Chat |
Where they differ (13)
Rows where both sides have data and the values disagree — the shortlist of dimensions that actually distinguish these two systems.
| Meta Llama 4 family | OpenAI GPT family (GPT-5 / GPT-4o / o3 / o4) | |
|---|---|---|
| Capability composite | 80 | 95 |
| $/Mtok input | 0.20 | 1.25 |
| $/Mtok output | 3.00 | 10 |
| Use cases | Scoped Agentic, Code Generation Focused, Analytical Summarization, Memory Augmented Chat, Offline Capable | Scoped Agentic, Code Generation Focused, Analytical Summarization, Memory Augmented Chat |
| Type | Open-weights frontier model family (Llama 4 Scout / Maverick / Behemoth) | Frontier foundation model family (GPT-5 / GPT-4o / o3 / o4) |
| Created | 2023-02 (Llama 1); 2023-07 (Llama 2); 2024-04 (Llama 3); 2024-12 (Llama 3.3); 2025-04 (Llama 4) | 2018 (GPT-1); 2020-06 (GPT-3); 2023-03 (GPT-4); 2024-05 (GPT-4o); 2024-09 (o1); 2025-01 (o3); 2025-08 (GPT-5) |
| Latest release | Llama 4 Scout + Maverick (2025-04); Behemoth in preview as of 2025 | GPT-5 (2025-08), o4-mini, GPT-4.1 series |
| Pricing | Free for self-hosting (Llama community license, <700M MAU); hosted via Together $0.20-$3/M (Maverick); AWS Bedrock + Azure AI consumption | Pay-per-token API (GPT-5 $1.25/$10 per 1M; GPT-4o $2.50/$10; o3 $2/$8); ChatGPT Free + Plus ($20/mo) + Pro ($200/mo) + Team + Enterprise |
| Funding | Meta (META) public; ~$1.5T market cap; AI infra capex $60-65B 2025 | $57.9B+ total raised; $500B valuation (2025 secondary tender); Microsoft $13B+ strategic investment |
| Deployment | Self-hostable (open-weights) + hosted via AWS Bedrock + Azure AI + Together AI + Groq + Fireworks + Replicate + Databricks | Managed-only (OpenAI API + Microsoft Azure OpenAI) |
| API surface | HTTP via Together / Bedrock / Azure; native via HuggingFace Transformers, vLLM, llama.cpp | REST + SDK (Python, TS, Java, Go, .NET); Azure OpenAI variant; Realtime API (WebRTC) |
| Optimised for | open-weights frontier-tier deployers; cost-efficient inference via MoE; on-prem regulated deployments | general-purpose reasoning, coding, multimodal, voice/real-time |
| Anti-fit | 700M MAU license trigger; not for users wanting weight transparency on dataset (Meta non-disclosing); Behemoth requires extreme GPU (2T MoE) | weights closed; data residency limited (US/EU/Asia regions only); rate-limited without enterprise; no open-weights option; Sora video gated |
At a glance
| Meta Llama 4 family | OpenAI GPT family (GPT-5 / GPT-4o / o3 / o4) | |
|---|---|---|
| Section | Foundation models (substrate reference) | Foundation models (substrate reference) |
| Tier | T1 | T1 |
| Type | Open-weights frontier model family (Llama 4 Scout / Maverick / Behemoth) | Frontier foundation model family (GPT-5 / GPT-4o / o3 / o4) |
| Created | 2023-02 (Llama 1); 2023-07 (Llama 2); 2024-04 (Llama 3); 2024-12 (Llama 3.3); 2025-04 (Llama 4) | 2018 (GPT-1); 2020-06 (GPT-3); 2023-03 (GPT-4); 2024-05 (GPT-4o); 2024-09 (o1); 2025-01 (o3); 2025-08 (GPT-5) |
| Latest release | Llama 4 Scout + Maverick (2025-04); Behemoth in preview as of 2025 | GPT-5 (2025-08), o4-mini, GPT-4.1 series |
| License | Llama 4 community license (Meta-custom; commercial OK <700M MAU) | — |
| GitHub | github.com/meta-llama/llama (combined Llama repos); ~58k stars | — |
| Pricing | Free for self-hosting (Llama community license, <700M MAU); hosted via Together $0.20-$3/M (Maverick); AWS Bedrock + Azure AI consumption | Pay-per-token API (GPT-5 $1.25/$10 per 1M; GPT-4o $2.50/$10; o3 $2/$8); ChatGPT Free + Plus ($20/mo) + Pro ($200/mo) + Team + Enterprise |
| Funding | Meta (META) public; ~$1.5T market cap; AI infra capex $60-65B 2025 | $57.9B+ total raised; $500B valuation (2025 secondary tender); Microsoft $13B+ strategic investment |
| Deployment | Self-hostable (open-weights) + hosted via AWS Bedrock + Azure AI + Together AI + Groq + Fireworks + Replicate + Databricks | Managed-only (OpenAI API + Microsoft Azure OpenAI) |
| API surface | HTTP via Together / Bedrock / Azure; native via HuggingFace Transformers, vLLM, llama.cpp | REST + SDK (Python, TS, Java, Go, .NET); Azure OpenAI variant; Realtime API (WebRTC) |
| Optimised for | open-weights frontier-tier deployers; cost-efficient inference via MoE; on-prem regulated deployments | general-purpose reasoning, coding, multimodal, voice/real-time |
| Anti-fit | 700M MAU license trigger; not for users wanting weight transparency on dataset (Meta non-disclosing); Behemoth requires extreme GPU (2T MoE) | weights closed; data residency limited (US/EU/Asia regions only); rate-limited without enterprise; no open-weights option; Sora video gated |
Taxonomy
| Axis | Meta Llama 4 family | OpenAI GPT family (GPT-5 / GPT-4o / o3 / o4) |
|---|---|---|
| storage | parametric | parametric |
| retrieval | parametric-recall | parametric-recall |
| persistence | parametric-permanent | parametric-permanent |
| update | read-only | read-only |
| unit | weight | weight |
| governance | opaque | opaque |
| conflict | n/a | n/a |
Pros & cons
Meta Llama 4 family
Pros: Open weights (community license) — only frontier-tier family runnable on-prem; MoE architecture cheap to serve (17B active params); 10M context (Scout) matches Gemini 3.
Cons: License excludes 700M+ MAU products; dataset opacity; multimodal less mature than GPT-4o / Gemini 3; Behemoth not yet released as of 2025-12.
OpenAI GPT family (GPT-5 / GPT-4o / o3 / o4)
Pros: Most-deployed frontier LLM (800M+ MAU ChatGPT); full multimodal stack (vision + audio + image gen + video gen); largest ecosystem of fine-tunes / RAG / agent integrations; Azure distribution.
Cons: Closed weights; expensive at Pro/o3 tier; legal exposure (multiple ongoing NYT / Authors Guild lawsuits); Sora & advanced features behind waitlists; SWE-bench trails Claude Opus 4.5.