GPT-5 Pro vs Llama 4 Scout
Compare OpenAI and Meta (via Together AI) AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
GPT-5 Pro
Llama 4 Scout
Cost Differences
Llama 4 Scout costs less than GPT-5 Pro
Feature Comparison
| Feature | GPT-5 Pro | Llama 4 Scout |
|---|---|---|
| Provider | OpenAI | Meta (via Together AI) |
| Input Price | $15.00/1M tokens | $0.08/1M tokens |
| Output Price | $120.00/1M tokens | $0.30/1M tokens |
| Context Window | 200,000 tokens | 10,000,000 tokens |
| Max Output | 100,000 tokens | 32,768 tokens |
| Category | flagship | efficient |
| Capabilities | textvisioncodereasoning | textvisioncode |
| Release Date | 8/7/2025 | 4/5/2025 |
GPT-5 Pro vs Llama 4 Scout: Which Should You Choose?
Choosing between GPT-5 Pro and Llama 4 Scout depends on your priorities: cost efficiency, context length, or raw capability. Llama 4 Scout is the more affordable option at $0.08/1M input tokens — 99% cheaper than GPT-5 Pro. Meanwhile, Llama 4 Scout offers a significantly larger context window at 10,000,000 tokens vs 200,000 for GPT-5 Pro.
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 Pro is a flagship model while Llama 4 Scout is efficient. This means they're optimized for different workloads. GPT-5 Pro is built for complex tasks that require deeper reasoning, while Llama 4 Scout offers better value for routine operations.
Output costs matter too. GPT-5 Pro charges $120.00/1M output tokens vs $0.30 for Llama 4 Scout. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Llama 4 Scout has the edge here at $0.30/1M output tokens.
Multimodal capabilities: Both models support vision (image understanding), so you can send images alongside text prompts with either option.
Best Use Cases
Choose GPT-5 Pro when:
- • You need more capabilities (reasoning)
- • You need longer outputs (up to 100,000 tokens)
- • You're already using OpenAI's API ecosystem
Choose Llama 4 Scout when:
- • Budget is a primary concern
- • You need a larger context window (10,000,000 tokens)
- • You're already using Meta (via Together AI)'s API ecosystem
- • You're running high-volume, latency-sensitive workloads
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
GPT-5 Pro (OpenAI)
Llama 4 Scout (Meta (via Together AI))
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