+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemini 1.0 Pro vs Kimi-k1.5
Comprehensive side-by-side LLM comparison
Kimi-k1.5 leads with 20.0% higher average benchmark score. Kimi-k1.5 supports multimodal inputs. Overall, Kimi-k1.5 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-k1.5 is a multimodal language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 81.7% across 9 benchmarks. It excels particularly in MATH-500 (96.2%), CLUEWSC (91.4%), C-Eval (88.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
11 months newer
Gemini 1.0 Pro
2024-02-15
Kimi-k1.5
Moonshot AI
2025-01-20
Performance Metrics
Context window and performance specifications
Average performance across 15 common benchmarks
+
+
+
+
Gemini 1.0 Pro
Average Score:29.0%
+
+
+
+
Kimi-k1.5
Average Score:49.0%(+20.0%)
+
+
+
+
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-k1.5
+
+
+
+
Gemini 1.0 Pro
Avg Score:29.0%
Providers:1
+
+
+
+
Kimi-k1.5
Avg Score:49.0%(+20.0%)
Providers:0