Price Per TokenPrice Per Token
Meta-llama
Meta-llama
vs
Moonshotai
Moonshotai

Llama 3.3 70B Instruct vs Kimi K2 0905 (exacto)

A detailed comparison of pricing, benchmarks, and capabilities

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Key Takeaways

Llama 3.3 70B Instruct wins:

  • Cheaper input tokens
  • Cheaper output tokens
  • Faster response time

Kimi K2 0905 (exacto) wins:

  • Larger context window
  • Higher intelligence benchmark
  • Better at coding
  • Better at math
Price Advantage
Llama 3.3 70B Instruct
Benchmark Advantage
Kimi K2 0905 (exacto)
Context Window
Kimi K2 0905 (exacto)
Speed
Llama 3.3 70B Instruct

Pricing Comparison

Benchmark Comparison

Context & Performance

Capabilities

Feature Comparison

FeatureLlama 3.3 70B InstructKimi K2 0905 (exacto)
Vision (Image Input)
Tool/Function Calls
Reasoning Mode
Audio Input
Audio Output
PDF Input
Prompt Caching
Web Search

License & Release

PropertyLlama 3.3 70B InstructKimi K2 0905 (exacto)
LicenseOpen SourceOpen Source
AuthorMeta-llamaMoonshotai
ReleasedDec 2024Sep 2025

Llama 3.3 70B Instruct Modalities

Input
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Output
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Kimi K2 0905 (exacto) Modalities

Input
text
Output
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Frequently Asked Questions

Llama 3.3 70B Instruct has cheaper input pricing at $0.10/M tokens. Llama 3.3 70B Instruct has cheaper output pricing at $0.32/M tokens.
Kimi K2 0905 (exacto) scores higher on coding benchmarks with a score of 25.9, compared to Llama 3.3 70B Instruct's score of 10.7.
Llama 3.3 70B Instruct has a 131,072 token context window, while Kimi K2 0905 (exacto) has a 262,144 token context window.
Llama 3.3 70B Instruct does not support vision. Kimi K2 0905 (exacto) does not support vision.