Llama 4 Maverick vs GPT-5 Mini
Meta's Llama 4 Maverick against OpenAI's GPT-5 Mini — pricing, benchmarks, context, and best use cases compared side by side.
Llama 4 Maverick and GPT-5 Mini are virtually tied on benchmark quality (Elo 1310 vs 1310), but Llama 4 Maverick is 50% cheaper on blended cost. Llama 4 Maverick offers a larger context window (1M vs 400K).
| Input Price | $0.27/1M | $0.25/1M |
| Output Price | $0.85/1M | $2.00/1M |
| Blended Price | $0.56/1M | $1.12/1M |
| LMSYS Elo | 1310 | 1310 |
| Context Window | 1,000,000 | 400,000 |
| Provider | Meta | OpenAI |
Pricing breakdown
When comparing LLM API pricing, GPT-5 Mini charges $0.25 per 1M input tokens compared to Llama 4 Maverick's $0.27 — a 7% difference. For output tokens, Llama 4 Maverick costs $0.85/1M versus $2.00/1M for GPT-5 Mini. On a blended basis (averaging input and output), Llama 4 Maverick comes in at $0.56/1M tokens versus $1.12/1M for GPT-5 Mini.
Quality & benchmarks
In terms of quality, Llama 4 Maverick (Elo 1310) and GPT-5 Mini (Elo 1310) are essentially neck-and-neck on the LMSYS Chatbot Arena leaderboard. The 0-point gap is within the margin of uncertainty, meaning both models deliver comparable output quality for most use cases. Your choice between them should come down to pricing, ecosystem preferences, and specific feature needs rather than raw benchmark performance.
Context window comparison
Llama 4 Maverick provides a significantly larger context window at 1M tokens compared to GPT-5 Mini's 400K tokens — 2.5x more capacity for processing long documents, large codebases, or extended conversations. With 1M tokens, Llama 4 Maverick can handle entire books, repositories, or multi-document analysis in a single prompt.
Monthly cost estimate
Adjust the sliders to see how costs compare for your workload.