GPT-5 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
Llama 3.1 405B
Cost Differences
Llama 3.1 405B costs less than GPT-5
Feature Comparison
| Feature | GPT-5 | Llama 3.1 405B |
|---|---|---|
| Provider | OpenAI | Meta (via Together AI) |
| Input Price | $1.25/1M tokens | $3.50/1M tokens |
| Output Price | $10.00/1M tokens | $3.50/1M tokens |
| Context Window | 1,000,000 tokens | 128,000 tokens |
| Max Output | 131,072 tokens | 32,768 tokens |
| Category | flagship | flagship |
| Capabilities | textvisionaudiocode | textcodereasoning |
| Release Date | 8/7/2025 | 7/23/2024 |
GPT-5 vs Llama 3.1 405B: Which Should You Choose?
Choosing between GPT-5 and Llama 3.1 405B depends on your priorities: cost efficiency, context length, or raw capability. Llama 3.1 405B is the more affordable option at $3.50/1M input tokens. Meanwhile, GPT-5 offers a significantly larger context window at 1,000,000 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.
Both models are in the flagship category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: Llama 3.1 405B would save you roughly $300.00/month compared to GPT-5. For startups and indie developers, that difference can be significant.
Output costs matter too. GPT-5 charges $10.00/1M 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. Llama 3.1 405B has the edge here at $3.50/1M output tokens.
Multimodal capabilities: GPT-5 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 when:
- • Budget is a primary concern
- • You need a larger context window (1,000,000 tokens)
- • You need more capabilities (vision, audio)
- • You need longer outputs (up to 131,072 tokens)
- • You're already using OpenAI's API ecosystem
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 (OpenAI)
Llama 3.1 405B (Meta (via Together AI))
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