AI model comparison
Compare recorded price, context, output limits, speed, latency, capabilities, and input/output support. Every missing value stays visible, and unsourced benchmarks are excluded.
Alibaba-NLP/gte-large-en-v1.5 and Alibaba-NLP/gte-Qwen2-1.5B-instruct both come up when teams are choosing a model for production work, and the honest answer usually depends on your workload rather than a leaderboard. This page puts their published specifications side by side — context window, token pricing, supported inputs and outputs — so you can see where they actually differ.
Alibaba-NLP
Alibaba-NLP/gte-large-en-v1.5 is a source-linked Hugging Face repository assigned to Sentence similarity. Its recorded task interface accepts text and produces score.
Accepts
Produces
Alibaba-NLP
Hugging Face repository for Sentence similarity.
Accepts
Produces
At a glance
This is a directional summary of the values recorded in this directory—not a universal quality verdict. Test the finalists on your own prompts before committing.
Where Alibaba-NLP/gte-large-en-v1.5 leads in recorded data
No complete recorded factor currently favors this model. That does not establish lower real-world quality.
Where Alibaba-NLP/gte-Qwen2-1.5B-instruct leads in recorded data
No complete recorded factor currently favors this model. That does not establish lower real-world quality.
Context capacity
Higher listed limit
Alibaba-NLP/gte-large-en-v1.5:8.2K
Alibaba-NLP/gte-Qwen2-1.5B-instruct:—
No complete comparison
Maximum output
Higher listed limit
Alibaba-NLP/gte-large-en-v1.5:1.0K
Alibaba-NLP/gte-Qwen2-1.5B-instruct:—
No complete comparison
Input price
Lower recorded price
Alibaba-NLP/gte-large-en-v1.5:$0.09
Alibaba-NLP/gte-Qwen2-1.5B-instruct:—
No complete comparison
Output price
Lower recorded price
Alibaba-NLP/gte-large-en-v1.5:$0.00
Alibaba-NLP/gte-Qwen2-1.5B-instruct:—
No complete comparison
Output speed
Higher recorded throughput
Alibaba-NLP/gte-large-en-v1.5:—
Alibaba-NLP/gte-Qwen2-1.5B-instruct:—
No complete comparison
Time to first token
Lower recorded latency
Alibaba-NLP/gte-large-en-v1.5:—
Alibaba-NLP/gte-Qwen2-1.5B-instruct:—
No complete comparison
Intelligence Index
Higher directory index
Alibaba-NLP/gte-large-en-v1.5:—
Alibaba-NLP/gte-Qwen2-1.5B-instruct:—
No complete comparison
Evidence
A score appears only when both records include a verified source. It is not treated as a universal ranking.
Specifications
| Specification | Alibaba-NLP/gte-large-en-v1.5 | Alibaba-NLP/gte-Qwen2-1.5B-instruct |
|---|---|---|
| Provider | Alibaba-NLP | Alibaba-NLP |
| Model family | — | — |
| Accepted inputs | text | text |
| Produced outputs | score | score |
| Context window | 8.2K | — |
| Max output | 1.0K | — |
| Intelligence Index | — | — |
| Input price / 1M | $0.09 | — |
| Output price / 1M | $0.00 | — |
| Output speed | — | — |
| Time to first token | — | — |
| Reasoning mode | Not documented | Not documented |
| Tool calling | Not documented | Not documented |
| Image input | Not documented | Not documented |
| Audio input | Not documented | Not documented |
| Structured output | Not documented | Not documented |
| License | Not documented | Not documented |
| Released | Mar 27, 2024 | Not documented |
Workload guidance
The published specifications are close enough that the decision usually comes down to which provider you already have an account and rate limits with.
Provenance
Prices and hosted performance can change. SyncDev records source references and clearly separates documented specifications from measured values; confirm commercial terms with the provider before deployment.
Alibaba-NLP/gte-large-en-v1.5
Alibaba-NLP · model record and recorded source
Alibaba-NLP/gte-Qwen2-1.5B-instruct
Alibaba-NLP · model record and recorded source
Choose any two approved model records and review them with the same evidence rules.