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Kimi K2 Thinking vs DeepSeek V4 Flash

At a glance

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

262K ctx$0.60/$2.50 per M

Efficiency-optimized DeepSeek V4 at 284B total / 13B active for fast, high-throughput inference.

1.0M ctx$0.09/$0.19 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
Cheaper89%
Specs
262K
Context
100K
Max output
Nov 2025
Released
1.0M
Context
16K
Max output
Apr 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input$0.60/M tokens
Output$2.50/M tokens
Cache read$0.15/M tokens
Live pricing, shown before you run
Input84%$0.09/M tokens
Output92%$0.19/M tokens
Cache read87%$0.02/M tokens
Chat with Kimi K2 ThinkingGo to model
Chat with DeepSeek V4 FlashGo to model
Frequently Asked Questions: Kimi K2 Thinking vs DeepSeek V4 Flash▼

Which is better, Kimi K2 Thinking or DeepSeek V4 Flash?

▼

Both Kimi K2 Thinking and DeepSeek V4 Flash 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 Flash?

▼

DeepSeek V4 Flash has a lower blended cost. Kimi K2 Thinking: $0.60 input / $2.50 output. DeepSeek V4 Flash: $0.09 input / $0.19 output.

Which has a larger context window, Kimi K2 Thinking or DeepSeek V4 Flash?

▼

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

What are the key differences between Kimi K2 Thinking and DeepSeek V4 Flash?

▼

Key differences: DeepSeek V4 Flash is significantly cheaper. Compare full specs on this page.

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 Flash for free on idapt.app to see which performs better for your specific needs.

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