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Mistral Nemo vs Kimi K3

At a glance

12B model from Mistral and NVIDIA — efficient and multilingual.

131K ctx$0.02/$0.03 per M

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
Agent Demos
All agent demos

No shared agent demos for these models yet.

AI Output
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No captured outputs for these models yet.

Benchmarks
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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
16K
Max output
Jul 2024
Released
1.0M
Context
16K
Max output
Jul 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input99%$0.02/M tokens
Output100%$0.03/M tokens
Live pricing, shown before you run
Input$3.00/M tokens
Output$15.00/M tokens
Cache read$0.30/M tokens
Chat with Mistral NemoGo to model
Chat with Kimi K3Go to model
Frequently Asked Questions: Mistral Nemo vs Kimi K3▼

Which is better, Mistral Nemo or Kimi K3?

▼

Both Mistral Nemo 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 is cheaper, Mistral Nemo or Kimi K3?

▼

Mistral Nemo has a lower blended cost. Mistral Nemo: $0.02 input / $0.03 output. Kimi K3: $3.00 input / $15.00 output.

Which has a larger context window, Mistral Nemo or Kimi K3?

▼

Kimi K3 has a larger context window: Mistral Nemo supports 131K tokens vs Kimi K3 at 1M tokens.

Do both Mistral Nemo and Kimi K3 support vision?

▼

Kimi K3 supports vision/image input, but Mistral Nemo does not.

What are the key differences between Mistral Nemo and Kimi K3?

▼

Key differences: Mistral Nemo is significantly cheaper; only Kimi K3 supports vision input; only Kimi K3 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 Mistral Nemo and Kimi K3 for free on idapt.app to see which performs better for your specific needs.

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