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DeepSeek R1 Distill Qwen 32B vs Kimi K3

At a glance

Distilled reasoning model based on Qwen 2.5 32B using DeepSeek R1 outputs.

131K ctx

MoonshotAI's 2.8T-parameter flagship for complex coding, knowledge work, and long-horizon agent runs.

1.0M ctx$3.00/$15.00 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
No benchmarks available

This model hasn't been benchmarked yet.

Reasoning
CodingInsufficient data
MathInsufficient data
Sources:Provider·OpenRouter· as of 2026-07-16
Reasoning & Knowledge
Graduate Science93.5%Expert-Level43.5%
Agentic
Terminal Tasks88.3%
Specs
131K
Context
33K
Max output
—
Released
1.0M
Context
16K
Max output
Jul 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Pricing not available
Live pricing, shown before you run
Input$3.00/M tokens
Output$15.00/M tokens
Cache read$0.30/M tokens
Chat with DeepSeek R1 Distill Qwen 32BGo to model
Chat with Kimi K3Go to model
Frequently Asked Questions: DeepSeek R1 Distill Qwen 32B vs Kimi K3▼

Which is better, DeepSeek R1 Distill Qwen 32B or Kimi K3?

▼

Both DeepSeek R1 Distill Qwen 32B and Kimi K3 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 has a larger context window, DeepSeek R1 Distill Qwen 32B or Kimi K3?

▼

Kimi K3 has a larger context window: DeepSeek R1 Distill Qwen 32B supports 131K tokens vs Kimi K3 at 1M tokens.

Do both DeepSeek R1 Distill Qwen 32B and Kimi K3 support vision?

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Kimi K3 supports vision/image input, but DeepSeek R1 Distill Qwen 32B does not.

What are the key differences between DeepSeek R1 Distill Qwen 32B and Kimi K3?

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Key differences: only Kimi K3 supports vision input. 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 DeepSeek R1 Distill Qwen 32B and Kimi K3 for free on idapt.app to see which performs better for your specific needs.

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