+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemini 1.0 Pro vs Jamba 1.5 Mini
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Jamba 1.5 Mini offers 471.3K more tokens in context window than Gemini 1.0 Pro. Jamba 1.5 Mini is $1.40 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
+
+
+
+
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.
+
+
+
+
AI21 Labs
Jamba 1.5 Mini is a language model developed by AI21 Labs. The model shows competitive results across 8 benchmarks. It excels particularly in ARC-C (85.7%), GSM8k (75.8%), MMLU (69.7%). It supports a 512K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents AI21 Labs's latest advancement in AI technology.
6 months newer
Gemini 1.0 Pro
2024-02-15
Jamba 1.5 Mini
AI21 Labs
2024-08-22
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
Gemini 1.0 Pro
Input:$0.50
Output:$1.50
+
+
+
+
Jamba 1.5 Mini
Input:$0.20
Output:$0.40($1.40 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 15 common benchmarks
+
+
+
+
Gemini 1.0 Pro
Average Score:29.0%
+
+
+
+
Jamba 1.5 Mini
Average Score:29.9%(+0.9%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
Jamba 1.5 Mini
2024-03-05
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
+
+
+
+
Jamba 1.5 Mini
2 providers
+
+
+
+
Gemini 1.0 Pro
Avg Score:29.0%
Providers:1
+
+
+
+
Jamba 1.5 Mini
Avg Score:29.9%(+0.9%)
Providers:2