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Llama 3.1 405B vs Kimi K2.7 Code

At a glance

Meta's largest open-weight model at 405B parameters.

63#66/92

MoonshotAI's coding-focused Kimi model for end-to-end software engineering.

82262K ctx$0.82/$3.75 per M#20/92
Agent Demos
All agent demos

No shared agent demos for these models yet.

AI Output
All AI outputs

No captured outputs for these models yet.

Benchmarks
See rankings
CodingInsufficient data
AgenticInsufficient data
Sources:Epoch ECI·Epoch AI· as of 2026-07-10
Capability
CapabilityECI62.7
Reasoning & Knowledge
Graduate Science50.9%Factual Recall—
Math
Math Problems49.8%Competition Math9.7%
Reasoning
CodingInsufficient data
AgenticInsufficient data
Sources:Epoch ECI·Epoch AI·OpenRouter· as of 2026-07-10
Smarter30%
Capability
CapabilityECI30%81.8
Reasoning & Knowledge
Graduate Science76%89.5%Factual Recall39.2%
Math
Math Problems—Competition Math891%96.4%
Specs
—
Context
—
Max output
—
Released
262K
Context
128K
Max output
Jun 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Pricing not available
Live pricing, shown before you run
Input$0.82/M tokens
Output$3.75/M tokens
Cache read$0.16/M tokens
Chat with Llama 3.1 405BGo to model
Chat with Kimi K2.7 CodeGo to model
Frequently Asked Questions: Llama 3.1 405B vs Kimi K2.7 Code▼

Which is better, Llama 3.1 405B or Kimi K2.7 Code?

▼

Based on the Capability Index, Kimi K2.7 Code scores higher (81.8 vs 62.7). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.

Do both Llama 3.1 405B and Kimi K2.7 Code support vision?

▼

Kimi K2.7 Code supports vision/image input, but Llama 3.1 405B does not.

What are the key differences between Llama 3.1 405B and Kimi K2.7 Code?

▼

Key differences: Kimi K2.7 Code has a notably higher capability index (19.1 point gap); only Kimi K2.7 Code supports vision input; only Kimi K2.7 Code 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 Llama 3.1 405B and Kimi K2.7 Code for free on idapt.app to see which performs better for your specific needs.

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