+
+
+
+
+
+
+
+
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 5.7% 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 is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.
+
+
+
+
Moonshot AI
Kimi K2 0905 is a language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 84.0% across 6 benchmarks. It excels particularly in HumanEval (94.5%), MMLU (90.2%), MATH (89.1%). It supports a 524K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
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 12 common benchmarks
+
+
+
+
Gemini 1.0 Pro
Average Score:36.3%
+
+
+
+
Kimi K2 0905
Average Score:42.0%(+5.7%)
+
+
+
+
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:36.3%
Providers:1
+
+
+
+
Kimi K2 0905
Avg Score:42.0%(+5.7%)
Providers:2