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Kimi K2 Thinking vs Qwen3 Coder Next

At a glance

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

262K ctx$0.60/$2.50 per M

Efficient coding agent with 80B parameters, only 3B active per token.

262K ctx$0.11/$0.80 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
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Cheaper74%
Specs
262K
Context
100K
Max output
Nov 2025
Released
262K
Context
128K
Max output
Feb 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
Input82%$0.11/M tokens
Output68%$0.80/M tokens
Cache read53%$0.07/M tokens
Chat with Kimi K2 ThinkingGo to model
Chat with Qwen3 Coder NextGo to model
Frequently Asked Questions: Kimi K2 Thinking vs Qwen3 Coder Next▼

Which is better, Kimi K2 Thinking or Qwen3 Coder Next?

▼

Both Kimi K2 Thinking and Qwen3 Coder Next 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 Qwen3 Coder Next?

▼

Qwen3 Coder Next has a lower blended cost. Kimi K2 Thinking: $0.60 input / $2.50 output. Qwen3 Coder Next: $0.11 input / $0.80 output.

Which has a larger context window, Kimi K2 Thinking or Qwen3 Coder Next?

▼

Kimi K2 Thinking has a larger context window: Kimi K2 Thinking supports 262K tokens vs Qwen3 Coder Next at 262K tokens.

What are the key differences between Kimi K2 Thinking and Qwen3 Coder Next?

▼

Key differences: Qwen3 Coder Next is significantly cheaper; only Kimi K2 Thinking offers extended reasoning mode. 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 Qwen3 Coder Next for free on idapt.app to see which performs better for your specific needs.

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