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Llama 4 Scout vs GPT 5.6 Luna

At a glance

Meta's efficient multimodal MoE model with 16 experts.

328K ctx$0.10/$0.30 per M

OpenAI's fastest, most affordable GPT-5.6 tier for high-volume, latency-sensitive work.

1.1M ctx$1.00/$6.00 per M
Agent Demos
All agent demos

No shared agent demos for these models yet.

AI Output
All AI outputs

No captured outputs for these models yet.

Benchmarks
See rankings
No benchmarks available

This model hasn't been benchmarked yet.

Reasoning
CodingInsufficient data
MathInsufficient data
Sources:Provider·OpenRouter· as of 2026-07-11
Reasoning & Knowledge
Graduate Science92.3%
Agentic
Terminal Tasks84.7%
Specs
328K
Context
16K
Max output
Apr 2025
Released
1.1M
Context
128K
Max output
Jul 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input90%$0.10/M tokens
Output95%$0.30/M tokens
Live pricing, shown before you run
Input$1.00/M tokens
Output$6.00/M tokens
Cache read$0.10/M tokens
Cache write$1.25/M tokens
Web search$0.01/search
Chat with Llama 4 ScoutGo to model
Chat with GPT 5.6 LunaGo to model
Frequently Asked Questions: Llama 4 Scout vs GPT 5.6 Luna▼

Which is better, Llama 4 Scout or GPT 5.6 Luna?

▼

Both Llama 4 Scout and GPT 5.6 Luna are capable AI models. The best choice depends on your specific use case: consider pricing, context window, speed, and which capabilities (vision, reasoning, audio) you need.

Which is cheaper, Llama 4 Scout or GPT 5.6 Luna?

▼

Llama 4 Scout has a lower blended cost. Llama 4 Scout: $0.10 input / $0.30 output. GPT 5.6 Luna: $1.00 input / $6.00 output.

Which has a larger context window, Llama 4 Scout or GPT 5.6 Luna?

▼

GPT 5.6 Luna has a larger context window: Llama 4 Scout supports 328K tokens vs GPT 5.6 Luna at 1.1M tokens.

Do both Llama 4 Scout and GPT 5.6 Luna support vision?

▼

Yes, both Llama 4 Scout and GPT 5.6 Luna support vision/image input.

What are the key differences between Llama 4 Scout and GPT 5.6 Luna?

▼

Key differences: Llama 4 Scout is significantly cheaper; only GPT 5.6 Luna offers extended reasoning mode. Compare full specs on this page.

Which model should I choose for my use case?

▼

If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both Llama 4 Scout and GPT 5.6 Luna for free on idapt.app to see which performs better for your specific needs.

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