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Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Moonshot AI

Kimi K2-Instruct-0905

Moonshot AI

Kimi K2-Instruct-0905 is a language model developed by Moonshot AI. It achieves strong performance with an average score of 64.1% across 29 benchmarks. It excels particularly in MATH-500 (97.4%), MMLU-Redux (92.7%), IFEval (89.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.

Meta

Llama 4 Scout

Meta

Llama 4 Scout is a multimodal language model developed by Meta. It achieves strong performance with an average score of 67.3% across 12 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (90.6%), ChartQA (88.8%). The model shows particular specialization in vision tasks with an average performance of 81.9%. With a 20.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.

Meta

Llama 4 Scout

Meta

2025-04-05

Moonshot AI

Kimi K2-Instruct-0905

Moonshot AI

2025-09-05

5 months newer

Performance Metrics

Context window and performance specifications

Moonshot AI

Kimi K2-Instruct-0905

Max Context:-
Parameters:1.0T
Meta

Llama 4 Scout

Larger context
Max Context:20.0M
Parameters:109.0B

Average performance across 4 common benchmarks

Moonshot AI

Kimi K2-Instruct-0905

+13.9%
Average Score:74.8%
Meta

Llama 4 Scout

Average Score:61.0%

Performance comparison across key benchmark categories

Moonshot AI

Kimi K2-Instruct-0905

math
65.0%
general
+3.6%
69.9%
code
+6.6%
56.9%
Meta

Llama 4 Scout

math
+5.5%
70.5%
general
66.3%
code
50.3%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Moonshot AI

Kimi K2-Instruct-0905

0 providers
Meta

Llama 4 Scout

6 providers

Together

Throughput: 106.9 tok/s
Latency: 0.54ms

DeepInfra

Throughput: 76.1 tok/s
Latency: 0.31ms

Fireworks

Throughput: 116.1 tok/s
Latency: 0.53ms

Groq

Throughput: 776.1 tok/s
Latency: 1.08ms

Novita

Throughput: 69.82 tok/s
Latency: 0.85ms

Lambda

Throughput: 139.7 tok/s
Latency: 0.43ms
Moonshot AI

Kimi K2-Instruct-0905

+13.9%
Avg Score:74.8%
Providers:0
Meta

Llama 4 Scout

Avg Score:61.0%
Providers:6