Model Comparison

Kimi K2 0905 vs Llama 4 Scout

Kimi K2 0905 significantly outperforms across most benchmarks. Llama 4 Scout is 8.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Kimi K2 0905 outperforms in 4 benchmarks (GPQA, MATH, MMLU, MMLU-Pro), while Llama 4 Scout is better at 0 benchmarks.

Kimi K2 0905 significantly outperforms across most benchmarks.

Thu May 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 4 Scout costs less

For input processing, Kimi K2 0905 ($0.60/1M tokens) is 7.5x more expensive than Llama 4 Scout ($0.08/1M tokens).

For output processing, Kimi K2 0905 ($2.50/1M tokens) is 8.3x more expensive than Llama 4 Scout ($0.30/1M tokens).

In conclusion, Kimi K2 0905 is more expensive than Llama 4 Scout.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu May 14 2026 • llm-stats.com
Moonshot AI
Kimi K2 0905
Input tokens$0.60
Output tokens$2.50
Best providerNovita
Meta
Llama 4 Scout
Input tokens$0.08
Output tokens$0.30
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

891.0B diff

Kimi K2 0905 has 891.0B more parameters than Llama 4 Scout, making it 817.4% larger.

Moonshot AI
Kimi K2 0905
1.0Tparameters
Meta
Llama 4 Scout
109.0Bparameters
1000.0B
Kimi K2 0905
109.0B
Llama 4 Scout

Context Window

Maximum input and output token capacity

Llama 4 Scout accepts 10,000,000 input tokens compared to Kimi K2 0905's 262,144 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while Kimi K2 0905 is limited to 262,144 tokens.

Moonshot AI
Kimi K2 0905
Input262,144 tokens
Output262,144 tokens
Meta
Llama 4 Scout
Input10,000,000 tokens
Output10,000,000 tokens
Thu May 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 4 Scout supports multimodal inputs, whereas Kimi K2 0905 does not.

Llama 4 Scout can handle both text and other forms of data like images, making it suitable for multimodal applications.

Kimi K2 0905

Text
Images
Audio
Video

Llama 4 Scout

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2 0905 is licensed under a proprietary license, while Llama 4 Scout uses Llama 4 Community License Agreement.

License differences may affect how you can use these models in commercial or open-source projects.

Kimi K2 0905

Proprietary

Closed source

Llama 4 Scout

Llama 4 Community License Agreement

Open weights

Release Timeline

When each model was launched

Kimi K2 0905 was released on 2025-09-05, while Llama 4 Scout was released on 2025-04-05.

Kimi K2 0905 is 5 months newer than Llama 4 Scout.

Kimi K2 0905

Sep 5, 2025

8 months ago

5mo newer
Llama 4 Scout

Apr 5, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Kimi K2 0905 is available from Novita. Llama 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together.

Kimi K2 0905

novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $2.50/1M

Llama 4 Scout

deepinfra logo
Deepinfra
Input Price:Input: $0.08/1MOutput Price:Output: $0.30/1M
lambda logo
Lambda
Input Price:Input: $0.08/1MOutput Price:Output: $0.30/1M
novita logo
Novita
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
groq logo
Groq
Input Price:Input: $0.11/1MOutput Price:Output: $0.34/1M
fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
together logo
Together
Input Price:Input: $0.18/1MOutput Price:Output: $0.59/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Moonshot AI
Higher GPQA score (75.8% vs 57.2%)
Higher MATH score (89.1% vs 50.3%)
Higher MMLU score (90.2% vs 79.6%)
Higher MMLU-Pro score (82.5% vs 74.3%)
Meta
Larger context window (10,000,000 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Moonshot AI
Kimi K2 0905
Meta
Llama 4 Scout

FAQ

Common questions about Kimi K2 0905 vs Llama 4 Scout.

Which is better, Kimi K2 0905 or Llama 4 Scout?

Kimi K2 0905 significantly outperforms across most benchmarks. Kimi K2 0905 is made by Moonshot AI and Llama 4 Scout is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Kimi K2 0905 compare to Llama 4 Scout in benchmarks?

Kimi K2 0905 scores HumanEval: 94.5%, MMLU: 90.2%, MATH: 89.1%, MMLU-Pro: 82.5%, GPQA: 75.8%. Llama 4 Scout scores DocVQA: 94.4%, MGSM: 90.6%, ChartQA: 88.8%, MMLU: 79.6%, MMLU-Pro: 74.3%.

Is Kimi K2 0905 cheaper than Llama 4 Scout?

Llama 4 Scout is 7.5x cheaper for input tokens. Kimi K2 0905 costs $0.60/M input and $2.50/M output via novita. Llama 4 Scout costs $0.08/M input and $0.30/M output via deepinfra.

What are the context window sizes for Kimi K2 0905 and Llama 4 Scout?

Kimi K2 0905 supports 262K tokens and Llama 4 Scout supports 10.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Kimi K2 0905 and Llama 4 Scout?

Key differences include context window (262K vs 10.0M), input pricing ($0.60 vs $0.08/M), multimodal support (no vs yes), licensing (Proprietary vs Llama 4 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2 0905 and Llama 4 Scout?

Kimi K2 0905 is developed by Moonshot AI and Llama 4 Scout is developed by Meta.