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GPT-5.4 nano vs Llama 3.1 405B

Compare OpenAI and Meta (via Together AI) AI models

OpenAI
GPT-5.4 nano
vs
Meta (via Together AI)
Llama 3.1 405B

Cost Comparison (1000 input + 500 output tokens, 100 requests/day)

GPT-5.4 nano

Per Request:$0.000825
Daily:$0.0825
Monthly:$2.475
Yearly:$30.1125

Llama 3.1 405B

Per Request:$0.005250
Daily:$0.525
Monthly:$15.75
Yearly:$191.625

Cost Differences

+$0.004425
Per Request
+$0.4425
Daily
+$13.275
Monthly
+$161.5125
Yearly

Llama 3.1 405B costs more than GPT-5.4 nano

Feature Comparison

FeatureGPT-5.4 nanoLlama 3.1 405B
ProviderOpenAIMeta (via Together AI)
Input Price$0.20/1M tokens$3.50/1M tokens
Output Price$1.25/1M tokens$3.50/1M tokens
Context Window128,000 tokens128,000 tokens
Max Output8,192 tokens32,768 tokens
Categoryefficientflagship
Capabilities
text
textcodereasoning
Release Date3/6/20267/23/2024

GPT-5.4 nano vs Llama 3.1 405B: Which Should You Choose?

Choosing between GPT-5.4 nano and Llama 3.1 405B depends on your priorities: cost efficiency, context length, or raw capability. GPT-5.4 nano is the more affordable option at $0.20/1M input tokens94% cheaper than Llama 3.1 405B.

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.

These models target different tiers: GPT-5.4 nano is a efficient model while Llama 3.1 405B is flagship. This means they're optimized for different workloads. Llama 3.1 405B targets more demanding workloads, while GPT-5.4 nano provides a cost-effective option for everyday tasks.

Output costs matter too. GPT-5.4 nano charges $1.25/1M output tokens vs $3.50 for Llama 3.1 405B. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. GPT-5.4 nano has the edge here at $1.25/1M output tokens.

Best Use Cases

Choose GPT-5.4 nano when:

  • • Budget is a primary concern
  • • You're already using OpenAI's API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Choose Llama 3.1 405B when:

  • • You need more capabilities (code, reasoning)
  • • You need longer outputs (up to 32,768 tokens)
  • • You're already using Meta (via Together AI)'s API ecosystem

Try Different Scenarios

Use the calculator below to see how costs change with different usage patterns

GPT-5.4 nano (OpenAI)

Llama 3.1 405B (Meta (via Together AI))

Start using GPT-5.4 nano today

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Start using Llama 3.1 405B today

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Frequently Asked Questions

Which is cheaper, GPT-5.4 nano or Llama 3.1 405B?
GPT-5.4 nano is cheaper for input tokens at $0.20 per million tokens vs $3.50 for Llama 3.1 405B — that's 94% savings on input costs.
What is the context window difference between GPT-5.4 nano and Llama 3.1 405B?
GPT-5.4 nano supports 128,000 tokens while Llama 3.1 405B supports 128,000 tokens — a difference of 0 tokens in favor of GPT-5.4 nano.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, GPT-5.4 nano is the lower-cost option, while GPT-5.4 nano offers a larger context window (128,000 vs 128,000 tokens). Choose GPT-5.4 nano for budget sensitivity or GPT-5.4 nano for longer context tasks.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, GPT-5.4 nano costs about $2.475/month and Llama 3.1 405B costs about $15.75/month. Overall, GPT-5.4 nano has lower combined input + output rates ($0.20 in, $1.25 out) vs Llama 3.1 405B.

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