Price Per TokenPrice Per Token
Moonshotai
Moonshotai
vs
Nvidia
Nvidia

Kimi K2.5 vs Llama 3.3 Nemotron Super 49B V1.5

A detailed comparison of pricing, benchmarks, and capabilities

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Key Takeaways

Kimi K2.5 wins:

  • Larger context window
  • Higher intelligence benchmark
  • Better at coding
  • Supports vision

Llama 3.3 Nemotron Super 49B V1.5 wins:

  • Cheaper input tokens
  • Cheaper output tokens
  • Faster response time
  • Better at math
Price Advantage
Llama 3.3 Nemotron Super 49B V1.5
Benchmark Advantage
Kimi K2.5
Context Window
Kimi K2.5
Speed
Llama 3.3 Nemotron Super 49B V1.5

Pricing Comparison

Benchmark Comparison

Context & Performance

Capabilities

Feature Comparison

FeatureKimi K2.5Llama 3.3 Nemotron Super 49B V1.5
Vision (Image Input)
Tool/Function Calls
Reasoning Mode
Audio Input
Audio Output
PDF Input
Prompt Caching
Web Search

License & Release

PropertyKimi K2.5Llama 3.3 Nemotron Super 49B V1.5
LicenseOpen SourceProprietary
AuthorMoonshotaiNvidia
ReleasedJan 2026Oct 2025

Kimi K2.5 Modalities

Input
textimage
Output
text

Llama 3.3 Nemotron Super 49B V1.5 Modalities

Input
text
Output
text

Frequently Asked Questions

Llama 3.3 Nemotron Super 49B V1.5 has cheaper input pricing at $0.10/M tokens. Llama 3.3 Nemotron Super 49B V1.5 has cheaper output pricing at $0.40/M tokens.
Kimi K2.5 scores higher on coding benchmarks with a score of 25.8, compared to Llama 3.3 Nemotron Super 49B V1.5's score of 10.5.
Kimi K2.5 has a 262,144 token context window, while Llama 3.3 Nemotron Super 49B V1.5 has a 131,072 token context window.
Kimi K2.5 supports vision. Llama 3.3 Nemotron Super 49B V1.5 does not support vision.