Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 52.6% higher average benchmark score. Kimi K2 Instruct offers 126.1K more tokens in context window than Grok-3. Kimi K2 Instruct is $15.13 cheaper per million tokens. Grok-3 supports multimodal inputs. Overall, Kimi K2 Instruct is the stronger choice for coding tasks.
xAI
Grok-3 is a multimodal language model developed by xAI. This model demonstrates exceptional performance with an average score of 85.7% across 5 benchmarks. It excels particularly in AIME 2025 (93.3%), AIME 2024 (93.3%), GPQA (84.6%). It supports a 136K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents xAI's latest advancement in AI technology.
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 262K token context window for handling large documents. The model is available through 1 API provider. 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.
4 months newer
Grok-3
xAI
2025-02-17
Kimi K2 Instruct
Moonshot AI
2025-07-11
Cost per million tokens (USD)
Grok-3
Kimi K2 Instruct
Context window and performance specifications
Average performance across 40 common benchmarks
Grok-3
Kimi K2 Instruct
Grok-3
2024-11-17
Available providers and their performance metrics
Grok-3
xAI
Kimi K2 Instruct
Grok-3
Kimi K2 Instruct
Grok-3
Kimi K2 Instruct
Novita