GPT-5.4 mini vs Llama 3.1 405B
Compare OpenAI and Meta (via Together AI) AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
GPT-5.4 mini
Llama 3.1 405B
Cost Differences
Llama 3.1 405B costs more than GPT-5.4 mini
Feature Comparison
| Feature | GPT-5.4 mini | Llama 3.1 405B |
|---|---|---|
| Provider | OpenAI | Meta (via Together AI) |
| Input Price | $0.75/1M tokens | $3.50/1M tokens |
| Output Price | $4.50/1M tokens | $3.50/1M tokens |
| Context Window | 1,050,000 tokens | 128,000 tokens |
| Max Output | 65,536 tokens | 32,768 tokens |
| Category | efficient | flagship |
| Capabilities | textvisioncode | textcodereasoning |
| Release Date | 3/6/2026 | 7/23/2024 |
GPT-5.4 mini vs Llama 3.1 405B: Which Should You Choose?
Choosing between GPT-5.4 mini and Llama 3.1 405B depends on your priorities: cost efficiency, context length, or raw capability. GPT-5.4 mini is the more affordable option at $0.75/1M input tokens — 79% cheaper than Llama 3.1 405B. Meanwhile, GPT-5.4 mini offers a significantly larger context window at 1,050,000 tokens vs 128,000 for 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 mini 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 mini provides a cost-effective option for everyday tasks.
Output costs matter too. GPT-5.4 mini charges $4.50/1M 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 mini has the edge here at $4.50/1M output tokens.
Multimodal capabilities: GPT-5.4 mini supports vision (image inputs) while Llama 3.1 405B is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose GPT-5.4 mini when:
- • Budget is a primary concern
- • You need a larger context window (1,050,000 tokens)
- • You need longer outputs (up to 65,536 tokens)
- • You're already using OpenAI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Choose Llama 3.1 405B when:
- • 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 mini (OpenAI)
Llama 3.1 405B (Meta (via Together AI))
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