+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Jamba 1.5 Mini vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-vision-instruct supports multimodal inputs. Jamba 1.5 Mini is available on 2 providers. Both models have their strengths depending on your specific coding needs.
+
+
+
+
AI21 Labs
Jamba 1.5 Mini was created as a more compact hybrid model, designed to bring the benefits of Jamba's architecture to resource-conscious deployments. Built to provide long-context capabilities with reduced computational requirements, it enables efficient processing of extended inputs in practical applications.
+
+
+
+
Microsoft
Phi-3.5 Vision was developed as a multimodal variant of Phi-3.5, designed to understand and reason about both images and text. Built to extend the Phi family's efficiency into vision-language tasks, it enables compact multimodal AI for practical applications.
1 days newer
Jamba 1.5 Mini
AI21 Labs
2024-08-22
Phi-3.5-vision-instruct
Microsoft
2024-08-23
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
+
+
+
+
Knowledge Cutoff
Training data recency comparison
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
+
+
+
+
Jamba 1.5 Mini
2 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Throughput: 100 tok/s
Latency: 0.3ms
+
+
+
+
Phi-3.5-vision-instruct
+
+
+
+
Jamba 1.5 Mini
Avg Score:0.0%
Providers:2
+
+
+
+
Phi-3.5-vision-instruct
Avg Score:0.0%
Providers:0