Codex Mini vs Llama 4 Scout

Choosing between Codex Mini and Llama 4 Scout depends on your priorities: cost efficiency, context length, or raw capability. Llama 4 Scout is the more affordable option at $0.08/1M input tokens — 95% cheaper than Codex Mini. Meanwhile, Llama 4 Scout offers a significantly larger context window at 10,000,000 tokens vs 200,000 for Codex Mini.

These models come from different providers — OpenAI and Meta (via Together AI) — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with OpenAI, switching to Meta (via Together AI)involves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.

Both models are in the efficient category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: Llama 4 Scout would save you roughly $1,281.00/month compared to Codex Mini. For startups and indie developers, that difference can be significant.

Output costs matter too. Codex Mini charges $6.00/1M output tokens vs $0.30 for Llama 4 Scout. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Llama 4 Scout has the edge here at $0.30/1M output tokens.

Multimodal capabilities: Llama 4 Scout supports vision (image inputs) while Codex Mini is text-only. If your application needs image understanding, this narrows your choice.