+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemini 1.0 Pro vs Kimi K2 0905
Comprehensive side-by-side LLM comparison
Kimi K2 0905 leads with 40.9% higher average benchmark score. Kimi K2 0905 offers 483.3K more tokens in context window than Gemini 1.0 Pro. Gemini 1.0 Pro is $1.10 cheaper per million tokens. Overall, Kimi K2 0905 is the stronger choice for coding tasks.
+
+
+
+
Gemini 1.0 Pro was developed as Google's initial production-ready multimodal model, designed to handle text and provide strong performance across diverse tasks. Built to serve as a versatile foundation for applications requiring reliable language understanding and generation, it introduced the Gemini architecture to developers and enterprises.
+
+
+
+
Moonshot AI
Kimi K2 was introduced as the second generation of Moonshot's language model family, designed to provide enhanced capabilities across language understanding and generation. Built with architectural improvements and expanded training, it represents a significant advancement in Moonshot's model offerings.
1 year newer
Gemini 1.0 Pro
2024-02-15
Kimi K2 0905
Moonshot AI
2025-09-05
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
Gemini 1.0 Pro
Input:$0.50
Output:$1.50($1.10 cheaper)
+
+
+
+
Kimi K2 0905
Input:$0.60
Output:$2.50
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
+
+
+
+
Gemini 1.0 Pro
Average Score:44.1%
+
+
+
+
Kimi K2 0905
Average Score:85.0%(+40.9%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Gemini 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
+
+
+
+
Kimi K2 0905
+
+
+
+
Gemini 1.0 Pro
Avg Score:44.1%
Providers:1
+
+
+
+
Kimi K2 0905
Avg Score:85.0%(+40.9%)
Providers:2