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Llama 4 Scout vs Kimi K3

At a glance

Meta's efficient multimodal MoE model with 16 experts.

328K ctx$0.10/$0.30 per M

MoonshotAI's 2.8T-parameter flagship for complex coding, knowledge work, and long-horizon agent runs.

1.0M ctx$3.00/$15.00 per M
Agent Demos
All agent demos

No shared agent demos for these models yet.

AI Output
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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 2026-07-16
Reasoning & Knowledge
Graduate Science93.5%Expert-Level43.5%
Agentic
Terminal Tasks88.3%
Specs
328K
Context
16K
Max output
Apr 2025
Released
1.0M
Context
16K
Max output
Jul 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input97%$0.10/M tokens
Output98%$0.30/M tokens
Live pricing, shown before you run
Input$3.00/M tokens
Output$15.00/M tokens
Cache read$0.30/M tokens
Chat with Llama 4 ScoutGo to model
Chat with Kimi K3Go to model
Frequently Asked Questions: Llama 4 Scout vs Kimi K3▼

Which is better, Llama 4 Scout or Kimi K3?

▼

Both Llama 4 Scout and Kimi K3 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 Kimi K3?

▼

Llama 4 Scout has a lower blended cost. Llama 4 Scout: $0.10 input / $0.30 output. Kimi K3: $3.00 input / $15.00 output.

Which has a larger context window, Llama 4 Scout or Kimi K3?

▼

Kimi K3 has a larger context window: Llama 4 Scout supports 328K tokens vs Kimi K3 at 1M tokens.

Do both Llama 4 Scout and Kimi K3 support vision?

▼

Yes, both Llama 4 Scout and Kimi K3 support vision/image input.

What are the key differences between Llama 4 Scout and Kimi K3?

▼

Key differences: Llama 4 Scout is significantly cheaper; only Kimi K3 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 Kimi K3 for free on idapt.app to see which performs better for your specific needs.

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