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

Llama 3.3 70B Instruct vs Kimi K2.5

A detailed comparison of pricing, benchmarks, and capabilities

Get our weekly newsletter on pricing changes, new releases, and tools.

Join the Price Per Token Community

Key Takeaways

Llama 3.3 70B Instruct wins:

  • Cheaper input tokens
  • Cheaper output tokens
  • Faster response time
  • Better at math

Kimi K2.5 wins:

  • Larger context window
  • Higher intelligence benchmark
  • Better at coding
  • Supports vision
  • Has reasoning mode
Price Advantage
Llama 3.3 70B Instruct
Benchmark Advantage
Kimi K2.5
Context Window
Kimi K2.5
Speed
Llama 3.3 70B Instruct

Pricing Comparison

Benchmark Comparison

Context & Performance

Capabilities

Feature Comparison

FeatureLlama 3.3 70B InstructKimi K2.5
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 K2.5
LicenseOpen SourceOpen Source
AuthorMeta-llamaMoonshotai
ReleasedDec 2024Jan 2026

Llama 3.3 70B Instruct Modalities

Input
text
Output
text

Kimi K2.5 Modalities

Input
textimage
Output
text

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 K2.5 scores higher on coding benchmarks with a score of 25.8, 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 K2.5 has a 262,144 token context window.
Llama 3.3 70B Instruct does not support vision. Kimi K2.5 supports vision.