Price Per TokenPrice Per Token
Arcee AI
vs
Moonshotai
Moonshotai

Virtuoso Large vs Kimi K2 Thinking

A detailed comparison of pricing, benchmarks, and capabilities

Track Your LLM Costs Across Every Provider Broken down by user, feature, and endpoint

107 out of our 483 tracked models have had a price change in March.

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Key Takeaways

Virtuoso Large wins:

  • Cheaper output tokens

Kimi K2 Thinking wins:

  • Cheaper input tokens
  • Has reasoning mode
Price Advantage
Virtuoso Large
Benchmark Advantage
Virtuoso Large
Context Window
Kimi K2 Thinking
Speed
N/A

Pricing Comparison

Price Comparison

MetricVirtuoso LargeKimi K2 ThinkingWinner
Input (per 1M tokens)$0.75$0.47 Kimi K2 Thinking
Output (per 1M tokens)$1.20$2.00 Virtuoso Large
Cache Read (per 1M)N/A$0.14 Kimi K2 Thinking
Using a 3:1 input/output ratio, Kimi K2 Thinking is 1% cheaper overall.

Virtuoso Large Providers

No provider data available

Kimi K2 Thinking Providers

No provider data available

Context & Performance

Context Window

Virtuoso Large
131,072
tokens
Kimi K2 Thinking
131,072
tokens

Speed Performance

Speed benchmarks not available for these models

Capabilities

Feature Comparison

FeatureVirtuoso LargeKimi K2 Thinking
Vision (Image Input)
Tool/Function Calls
Reasoning Mode
Audio Input
Audio Output
PDF Input
Prompt Caching
Web Search

License & Release

PropertyVirtuoso LargeKimi K2 Thinking
LicenseOpen SourceOpen Source
AuthorArcee AIMoonshotai
ReleasedMay 2025Nov 2025

Virtuoso Large Modalities

Input
text
Output
text

Kimi K2 Thinking Modalities

Input
text
Output
text

Related Comparisons

Compare Virtuoso Large with:

Compare Kimi K2 Thinking with:

Frequently Asked Questions

Kimi K2 Thinking has cheaper input pricing at $0.47/M tokens. Virtuoso Large has cheaper output pricing at $1.20/M tokens.
Virtuoso Large scores higher on coding benchmarks with a score of N/A, compared to Kimi K2 Thinking's score of N/A.
Virtuoso Large has a 131,072 token context window, while Kimi K2 Thinking has a 131,072 token context window.
Virtuoso Large does not support vision. Kimi K2 Thinking does not support vision.