GPT-5.6 Luna vs Llama 4 Scout
Detailed technical comparison between GPT-5.6 Luna (OpenAI) and Llama 4 Scout (Meta). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.
Comparison Snapshot
Llama 4 Scout
1,310,720 tokensTie
Equal CapabilityTie
Equal SpeedLlama 4 Scout
$0.10 / MTokGPT-5.6 Luna
GPT-5.6 Luna is an advanced artificial intelligence model engineered by OpenAI. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, GPT-5.6 Luna represents a key architectural iteration in the OpenAI model family. First released in 2026-07-09, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 1,050,000 tokens (approximately 1,400 words), GPT-5.6 Luna processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.
Llama 4 Scout
Llama 4 Scout is an advanced artificial intelligence model engineered by Meta. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Llama 4 Scout represents a key architectural iteration in the Meta model family. First released in 2025-04-05, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 1,310,720 tokens (approximately 1,748 words), Llama 4 Scout processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.
Technical Specifications
🏆 = Superior Spec| Specification | GPT-5.6 Luna | Llama 4 Scout |
|---|---|---|
| Provider | OpenAI | Meta |
| Context Window | 1,050,000 tokens | 1,310,720 tokens🏆 |
| Agent Suitability | Not yet benchmarked | 82/100 (est.) |
| Time to First Token (TTFT) | No public TTFT data | 350 ms (est.) |
| Deployment Model | managed api | self hostable |
| Production Stability | Beta Access (est.) | Beta Access (est.) |
| API Available | Yes | Yes |
| Released Date | 2026-07-09 | 2025-04-05 |
API Pricing Comparison
Input Price per Million Tokens
GPT-5.6 Luna
$0.20
Llama 4 Scout
$0.10
Output Price per Million Tokens
GPT-5.6 Luna
$1.20
Llama 4 Scout
$0.30
💡 Cost Ratio: Llama 4 Scout is 2.0x cheaper per input token than GPT-5.6 Luna.
Want to test both models live?
Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.
Benchmark Performance Metrics
Standardized Scores (0–100%)Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.
GPT-5.6 Luna Quirks & Gotchas
No developer gotchas reported.
Llama 4 Scout Quirks & Gotchas
- ▸10M context causes significant VRAM pressure — recommend 4-bit quantization
- ▸Primarily designed for RAG, not agentic tool calling
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