Auto-generated comparison

DeepSeek: R1 0528 vs MoonshotAI: Kimi K2 Thinking

DeepSeek: R1 0528 wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityDeepSeek: R1 0528MoonshotAI: Kimi K2 ThinkingWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
164K131K🏆 DeepSeek: R1 0528
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.45$0.47🏆 DeepSeek: R1 0528
Output price (per 1M)
Cost per million output tokens billed by the provider.
$2.15$2.00🏆 MoonshotAI: Kimi K2 Thinking
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
Vision input
Accepts image inputs alongside text.
Tie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
YesYesTie

Frequently asked questions

Is DeepSeek: R1 0528 better than MoonshotAI: Kimi K2 Thinking?

DeepSeek: R1 0528 wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between DeepSeek: R1 0528 and MoonshotAI: Kimi K2 Thinking?

Input: $0.45 vs $0.47 per 1M tokens. Output: $2.15 vs $2.00 per 1M tokens.

What context windows do DeepSeek: R1 0528 and MoonshotAI: Kimi K2 Thinking support?

DeepSeek: R1 0528 supports up to 164K tokens. MoonshotAI: Kimi K2 Thinking supports up to 131K tokens.

Do both DeepSeek: R1 0528 and MoonshotAI: Kimi K2 Thinking support tool calling?

DeepSeek: R1 0528: yes. MoonshotAI: Kimi K2 Thinking: yes.

Compare DeepSeek: R1 0528 with other models

Compare MoonshotAI: Kimi K2 Thinking with other models