Model Comparison

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

Moonshot AI

Kimi-k1.5

Moonshot AI

Kimi-k1.5 is a multimodal language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 81.7% across 9 benchmarks. It excels particularly in MATH-500 (96.2%), CLUEWSC (91.4%), C-Eval (88.3%). The model shows particular specialization in math tasks with an average performance of 85.5%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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.

Moonshot AI

Kimi-k1.5

Moonshot AI

2025-01-20

Meta

Llama 4 Scout

Meta

2025-04-05

2 months newer

Performance Metrics

Context window and performance specifications

Moonshot AI

Kimi-k1.5

Max Context:-
Meta

Llama 4 Scout

Larger context
Max Context:20.0M
Parameters:109.0B

Average performance across 3 common benchmarks

Moonshot AI

Kimi-k1.5

+4.2%
Average Score:77.4%
Meta

Llama 4 Scout

Average Score:73.2%

Performance comparison across key benchmark categories

Moonshot AI

Kimi-k1.5

math
+15.0%
85.5%
general
+19.2%
85.4%
vision
70.0%
code
+29.0%
79.3%
Meta

Llama 4 Scout

math
70.5%
general
66.3%
vision
+11.9%
81.9%
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-k1.5

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-k1.5

+4.2%
Avg Score:77.4%
Providers:0
Meta

Llama 4 Scout

Avg Score:73.2%
Providers:6