Jamba 1.5 Large vs Phi-3.5-MoE-instruct
Jamba 1.5 Large and Phi-3.5-MoE-instruct are closely matched at 1.1 and 1.9 on the LLM Stats Score.
AI21 Labs · Microsoft · Updated for 2026
Which is better?
Jamba 1.5 Large and Phi-3.5-MoE-instruct are closely matched on the overall LLM Stats Score at 1.1 and 1.9.
In the 7 individual benchmarks reported for both models, Jamba 1.5 Large wins 5; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Jamba 1.5 Large
- you value its reported benchmark strengths — it wins 5 of 7 exact shared results
Choose Phi-3.5-MoE-instruct
- you want the most recent training data — it shipped Aug 2024
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
8 reported for Jamba 1.5 Large · 31 for Phi-3.5-MoE-instruct
Jamba 1.5 Large outperforms in 5 benchmarks (ARC-C, Arena Hard, GPQA, MMLU, MMLU-Pro), while Phi-3.5-MoE-instruct is better at 2 benchmarks (GSM8k, TruthfulQA).
Jamba 1.5 Large shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Jamba 1.5 Large has 338.0B more parameters than Phi-3.5-MoE-instruct, making it 563.3% larger.
Context Window
Maximum input and output token capacity
Only Jamba 1.5 Large specifies input context (256,000 tokens). Only Jamba 1.5 Large specifies output context (256,000 tokens).
License
Usage and distribution terms
Jamba 1.5 Large is licensed under Jamba Open Model License, while Phi-3.5-MoE-instruct uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Jamba Open Model License
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Jamba 1.5 Large was released on 2024-08-22, while Phi-3.5-MoE-instruct was released on 2024-08-23.
Phi-3.5-MoE-instruct is 0 month newer than Jamba 1.5 Large.
Aug 22, 2024
2.0 years ago
Aug 23, 2024
2.0 years ago
1d newerKnowledge Cutoff
When training data ends
Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Phi-3.5-MoE-instruct's cutoff date is not specified.
We can confirm Jamba 1.5 Large's training data extends to 2024-03-05, but cannot make a direct comparison without Phi-3.5-MoE-instruct's cutoff date.
Mar 2024
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Outputs Comparison
Judge for yourself.
Run your own prompts against Jamba 1.5 Large and Phi-3.5-MoE-instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Jamba 1.5 Large vs Phi-3.5-MoE-instruct.