Model Comparison
Kimi K3 vs Llama 4 ScoutWhich is better in 2026?
Kimi K3 significantly outperforms across most benchmarks. Llama 4 Scout is 44.4x cheaper per token.
Verdict: Kimi K3 vs Llama 4 Scout — which is better?
Kimi K3 (by Moonshot AI) and Llama 4 Scout (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Kimi K3 outperforms in 1 benchmarks (GPQA), while Llama 4 Scout is better at 0 benchmarks. Kimi K3 significantly outperforms across most benchmarks.
On price, Llama 4 Scout is roughly 44.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Llama 4 Scout also accepts a larger context window (10,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Kimi K3 if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you want the most recent training data — it shipped Jul 2026
Choose Llama 4 Scout if…
- cost matters — it's about 44.4x cheaper per token
- you process long inputs — it offers a 10,000,000 token context window
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Kimi K3 outperforms in 1 benchmarks (GPQA), while Llama 4 Scout is better at 0 benchmarks.
Kimi K3 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Kimi K3 ($3.00/1M tokens) is 37.5x more expensive than Llama 4 Scout ($0.08/1M tokens).
For output processing, Kimi K3 ($15.00/1M tokens) is 50.0x more expensive than Llama 4 Scout ($0.30/1M tokens).
In conclusion, Kimi K3 is more expensive than Llama 4 Scout.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Kimi K3 has 2691.0B more parameters than Llama 4 Scout, making it 2468.8% larger.
Context Window
Maximum input and output token capacity
Llama 4 Scout accepts 10,000,000 input tokens compared to Kimi K3's 1,048,576 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while Kimi K3 is limited to 1,048,576 tokens.
Input Capabilities
Supported data types and modalities
Both Kimi K3 and Llama 4 Scout support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Kimi K3
Llama 4 Scout
Release Timeline
When each model was launched
Kimi K3 was released on 2026-07-16, while Llama 4 Scout was released on 2025-04-05.
Kimi K3 is 16 months newer than Llama 4 Scout.
Jul 16, 2026
3 days ago
1.3yr newerApr 5, 2025
1.3 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Kimi K3 is available from Moonshot AI. Llama 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together.
Kimi K3
Llama 4 Scout
Outputs Comparison
Key Takeaways
Kimi K3
View detailsMoonshot AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Kimi K3 and Llama 4 Scout side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Kimi K3 vs Llama 4 Scout.