SAVRN Model Hub · Comparisons
Qwen2.5-1.5B-Instruct vs Qwen3-1.7B-Base
Qwen2.5-1.5B-Instruct has 1.5B parameters and Qwen3-1.7B-Base has 1.7B parameters; both are released under Apache License 2.0; at 16-bit, Qwen2.5-1.5B-Instruct needs about 3.7 GB (1x MI300X from $1.85 an hour) and Qwen3-1.7B-Base about 4.1 GB (1x MI300X from $1.85 an hour).
| Field | Qwen2.5-1.5B-Instruct Qwen/Qwen2.5-1.5B-Instruct | Qwen3-1.7B-Base Qwen/Qwen3-1.7B-Base |
|---|---|---|
| Publisher | Qwen | Qwen |
| Task | Text generation | Text generation |
| Modality | Text | Text |
| Parameters, as reported | 1.5B parameters | 1.7B parameters |
| Architecture | Qwen2ForCausalLM | Qwen3ForCausalLM |
| Library | transformers | transformers |
| Context length | 32,768 tokens | 32,768 tokens |
| Repository size | 3.1 GB | 3.5 GB |
| Artifact formats | safetensors | safetensors |
| License | apache-2.0 | apache-2.0 |
| Access | Open weights, no gate | Open weights, no gate |
| Memory at 16-bit (weights and margin) | 3.7 GB | 4.1 GB |
| Cheapest GPUs at 16-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Memory at 4-bit (weights and margin) | 0.9 GB | 1 GB |
| Cheapest GPUs at 4-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Revision viewed | 989aa7980e4c | ea980cb0a6c2 |
| Downloads reported by the hub | 7.2M | 1.6M |
| Last observed | 2026-09-18 | 2026-09-18 |
An evaluation row appears only where at least two of these models report the same benchmark with the same stated configuration, metric, unit and setup. Different evaluators stay named in each cell. Values are shown as reported: no unit conversion, no ranking.
SAVRN's Notes on Qwen2.5-1.5B-Instruct
When the job is turning text into JSON, reading tables or writing past 8K tokens on a slice of a card, Qwen2.5-1.5B-Instruct is the size class to look at. Its 16-bit weights are 3.1 GB and need 3.7 GB to run; 8-bit needs 1.9 GB and 4-bit 0.9 GB. At $1.85 an hour, the cheapest Index setup is a single MI300X with 192 GB, room for more than fifty copies of the 16-bit footprint, so packing the card sets your cost per instance.
Apache 2.0 permits commercial use, changes and redistribution if the license and notices stay attached and you state significant changes. Measure the 32,768-token context against your longest input, note that it is derived from the Qwen2.5-1.5B base with weights dated September 2024, and that no host has this one on the Index yet, so the card is the only price on the table.
SAVRN's Notes on Qwen3-1.7B-Base
At 4.1 GB of memory for 16-bit inference, 2.1 GB at 8-bit and 1.0 GB at 4-bit, this checkpoint fits on any accelerator we would rack; the cheapest setup on file, one MI300X with 192 GB at $1.85 per hour on-demand, could hold dozens of copies. A 1.7 billion parameter base model is raw material for post-training, and 32,768 tokens of context leave room to shape it for a narrow task.
Base in the title is the fact that matters: Qwen ships the pretraining checkpoint, so a deployment needs its own fine-tuning or prompting layer first. Apache 2.0 permits that and lets you redistribute the tuned result commercially, as long as notices stay intact and changes are stated. Read the Qwen3 technical report at arXiv:2505.09388 before committing; our record holds no reported evaluations and no SAVRN Index host prices yet, so the benchmark is yours.
Questions
Which is larger, Qwen2.5-1.5B-Instruct or Qwen3-1.7B-Base?
Qwen3-1.7B-Base (1.7B parameters) is larger than Qwen2.5-1.5B-Instruct (1.5B parameters), by the parameter counts their publishers report.
Which is cheaper to run, Qwen2.5-1.5B-Instruct or Qwen3-1.7B-Base?
At 4-bit, Qwen2.5-1.5B-Instruct fits on 1x MI300X from $1.85 an hour and Qwen3-1.7B-Base on 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
Can I use Qwen2.5-1.5B-Instruct commercially?
Yes. Qwen2.5-1.5B-Instruct is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.
Can I use Qwen3-1.7B-Base commercially?
Yes. Qwen3-1.7B-Base is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.