Model Comparison

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

Moonshot AI

Kimi K2 Instruct

Moonshot AI

Kimi K2 Instruct is a language model developed by Moonshot AI. It achieves strong performance with an average score of 66.7% across 38 benchmarks. It excels particularly in MATH-500 (97.4%), GSM8k (97.3%), CBNSL (95.6%). It supports a 144K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.

Google

MedGemma 4B IT

Google

MedGemma 4B IT is a multimodal language model developed by Google. The model shows competitive results across 7 benchmarks. It excels particularly in MIMIC CXR (88.9%), DermMCQA (71.8%), PathMCQA (69.8%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

Moonshot AI

Kimi K2 Instruct

Moonshot AI

2025-01-01

Google

MedGemma 4B IT

Google

2025-05-20

4 months newer

Performance Metrics

Context window and performance specifications

Moonshot AI

Kimi K2 Instruct

Larger context
Max Context:144.0K
Parameters:1.0T
Google

MedGemma 4B IT

Max Context:-
Parameters:4.3B

Performance comparison across key benchmark categories

Moonshot AI

Kimi K2 Instruct

general
+2.5%
62.0%
Google

MedGemma 4B IT

general
59.5%

Provider Availability & Performance

Available providers and their performance metrics

Moonshot AI

Kimi K2 Instruct

1 providers

Novita

Throughput: 45 tok/s
Latency: 0.95ms
Google

MedGemma 4B IT

0 providers
Moonshot AI

Kimi K2 Instruct

Avg Score:0.0%
Providers:1
Google

MedGemma 4B IT

Avg Score:0.0%
Providers:0