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Llama 4 Maverick vs GPT-5.4 nano

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

Llama 4 Maverick Cost
$0.36
GPT-5.4 nano Cost
$0.45
Llama 4 Maverick is 20% cheaper
FeatureLlama 4 MaverickGPT-5.4 nano
ProviderMetaOpenAI
Input Price (1M)$0.20$0.20
Output Price (1M)$0.80$1.25
Context Window1,000,000400,000

Verdict

Llama 4 Maverick costs $0.20 per 1M input tokens and $0.80 per 1M output tokens. GPT-5.4 nano costs $0.20 per 1M input tokens and $1.25 per 1M output tokens. Llama 4 Maverick and GPT-5.4 nano have identical input token pricing. For output tokens, Llama 4 Maverick is the more affordable option at $0.80/1M vs $1.25.

On context window, Llama 4 Maverick supports 1,000,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.

When to choose Llama 4 Maverick

  • ✓ Your workload is output-heavy — Llama 4 Maverick generates text cheaper
  • ✓ You need a larger context window (1,000,000 tokens)
  • ✓ You are already integrated with Meta

When to choose GPT-5.4 nano

  • ✓ You are already integrated with OpenAI

Use the calculator above to simulate your specific workload and find the exact break-even point. For most applications, the cheapest model is the one that minimises your total monthly bill given your input-to-output token ratio.

Frequently Asked Questions

Is Llama 4 Maverick cheaper than GPT-5.4 nano?

Llama 4 Maverick and GPT-5.4 nano have identical input token pricing at $0.20/1M tokens.

What is the context window of Llama 4 Maverick vs GPT-5.4 nano?

Llama 4 Maverick has a 1,000,000-token context window. GPT-5.4 nano has a 400,000-token context window. Llama 4 Maverick supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: Llama 4 Maverick or GPT-5.4 nano?

The best choice depends on your use case. For cost efficiency on input tokens, Llama 4 Maverick is the cheaper option. For maximum context length, Llama 4 Maverick supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.