Price Per TokenPrice Per Token
Moonshotai
Moonshotai
vs
Sao10k

Kimi K2 Thinking vs Llama 3.1 Euryale 70B v2.2

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

Kimi K2 Thinking wins:

  • Cheaper input tokens
  • Larger context window

Llama 3.1 Euryale 70B v2.2 wins:

  • Cheaper output tokens
Price Advantage
Kimi K2 Thinking
Benchmark Advantage
Kimi K2 Thinking
Context Window
Kimi K2 Thinking
Speed
N/A

Pricing Comparison

Price Comparison

MetricKimi K2 ThinkingLlama 3.1 Euryale 70B v2.2Winner
Input (per 1M tokens)$0.47$0.85 Kimi K2 Thinking
Output (per 1M tokens)$2.00$0.85 Llama 3.1 Euryale 70B v2.2
Cache Read (per 1M)$0.14N/A Kimi K2 Thinking
Using a 3:1 input/output ratio, Llama 3.1 Euryale 70B v2.2 is 0% cheaper overall.

Kimi K2 Thinking Providers

No provider data available

Llama 3.1 Euryale 70B v2.2 Providers

No provider data available

Context & Performance

Context Window

Kimi K2 Thinking
131,072
tokens
Llama 3.1 Euryale 70B v2.2
32,768
tokens
Kimi K2 Thinking has a 75% larger context window.

Speed Performance

Speed benchmarks not available for these models

Capabilities

Feature Comparison

FeatureKimi K2 ThinkingLlama 3.1 Euryale 70B v2.2
Vision (Image Input)
Tool/Function Calls
Reasoning Mode
Audio Input
Audio Output
PDF Input
Prompt Caching
Web Search

License & Release

PropertyKimi K2 ThinkingLlama 3.1 Euryale 70B v2.2
LicenseOpen SourceOpen Source
AuthorMoonshotaiSao10k
ReleasedNov 2025Aug 2024

Kimi K2 Thinking Modalities

Input
text
Output
text

Llama 3.1 Euryale 70B v2.2 Modalities

Input
text
Output
text

Related Comparisons

Compare Kimi K2 Thinking with:

Compare Llama 3.1 Euryale 70B v2.2 with:

Frequently Asked Questions

Kimi K2 Thinking has cheaper input pricing at $0.47/M tokens. Llama 3.1 Euryale 70B v2.2 has cheaper output pricing at $0.85/M tokens.
Kimi K2 Thinking scores higher on coding benchmarks with a score of N/A, compared to Llama 3.1 Euryale 70B v2.2's score of N/A.
Kimi K2 Thinking has a 131,072 token context window, while Llama 3.1 Euryale 70B v2.2 has a 32,768 token context window.
Kimi K2 Thinking does not support vision. Llama 3.1 Euryale 70B v2.2 does not support vision.