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Kimi K2 Thinking vs DeepSeek V4 Pro (0813)

At a glance

Kimi K2 with always-on extended reasoning for complex problem solving.

262K ctx$0.60/$2.50 per M

The GA release of DeepSeek's open 1.6T-parameter MoE flagship for advanced reasoning and long-horizon agents.

1.0M ctx$0.66/$1.98 per M
Demos
All demos

No shared demos for these models yet.

AI Output
All AI outputs

No captured outputs for these models yet.

Benchmarks
See rankings
Reasoning
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Reasoning
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Cheaper8%
Specs
262K
Context
100K
Max output
Nov 2025
Released
1.0M
Context
256K
Max output
Aug 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input9%$0.60/M tokens
Output$2.50/M tokens
Cache read$0.15/M tokens
Live pricing, shown before you run
Input$0.66/M tokens
Output21%$1.98/M tokens
Cache read86%$0.02/M tokens
Chat with Kimi K2 ThinkingGo to model
Chat with DeepSeek V4 Pro (0813)Go to model
Frequently Asked Questions: Kimi K2 Thinking vs DeepSeek V4 Pro (0813)▼

Which is better, Kimi K2 Thinking or DeepSeek V4 Pro (0813)?

▼

Both Kimi K2 Thinking and DeepSeek V4 Pro (0813) are capable AI models. The best choice depends on your specific use case: consider pricing, context window, speed, and which capabilities (vision, reasoning, audio) you need.

Which is cheaper, Kimi K2 Thinking or DeepSeek V4 Pro (0813)?

▼

DeepSeek V4 Pro (0813) has a lower blended cost. Kimi K2 Thinking: $0.60 input / $2.50 output. DeepSeek V4 Pro (0813): $0.66 input / $1.98 output.

Which has a larger context window, Kimi K2 Thinking or DeepSeek V4 Pro (0813)?

▼

DeepSeek V4 Pro (0813) has a larger context window: Kimi K2 Thinking supports 262K tokens vs DeepSeek V4 Pro (0813) at 1M tokens.

What are the key differences between Kimi K2 Thinking and DeepSeek V4 Pro (0813)?

▼

Kimi K2 Thinking and DeepSeek V4 Pro (0813) have similar overall capabilities. The main differences lie in pricing, context window size, and provider-specific strengths. Use this comparison page to review all metrics side by side.

Which model should I choose for my use case?

▼

If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both Kimi K2 Thinking and DeepSeek V4 Pro (0813) for free on idapt.app to see which performs better for your specific needs.

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