SAVRN Model Hub · Comparisons
Qwen2.5-1.5B vs Qwen3-1.7B
Qwen2.5-1.5B has 1.5B parameters and Qwen3-1.7B has 2B parameters; both are released under Apache License 2.0; at 16-bit, Qwen2.5-1.5B needs about 3.7 GB (1x MI300X from $1.85 an hour) and Qwen3-1.7B about 4.9 GB (1x MI300X from $1.85 an hour).
| Field | Qwen2.5-1.5B Qwen/Qwen2.5-1.5B | Qwen3-1.7B Qwen/Qwen3-1.7B |
|---|---|---|
| Publisher | Qwen | Qwen |
| Task | Text generation | Text generation |
| Modality | Text | Text |
| Parameters, as reported | 1.5B parameters | 2B parameters |
| Architecture | Qwen2ForCausalLM | Qwen3ForCausalLM |
| Library | transformers | transformers |
| Context length | 131,072 tokens | 40,960 tokens |
| Repository size | 3.1 GB | 4.1 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 | 4.9 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 | 1.2 GB |
| Cheapest GPUs at 4-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Revision viewed | 8faed761d45a | 70d244cc86cc |
| Downloads reported by the hub | 880.3k | 3.8M |
| 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.
Other Reported Results
These results are listed for each model on its own, because the conditions needed to compare them are not stated or do not match. Two results that leave a condition blank are not assumed to share it.
Qwen2.5-1.5B
| Benchmark | Conditions | Result | Reported by | Revision | Date |
|---|---|---|---|---|---|
| TIGER-Lab/MMLU-Pro | Task mmlu_proMetric mmlu_proComparison conditions not established | 32.1 | EvalEval Reported by a third party |
Evaluated revision not stated | 2026-06-30 |
SAVRN's Notes on Qwen2.5-1.5B
Three point seven gigabytes. That is what a 16-bit copy of Qwen2.5-1.5B needs, and the cheapest slot we price it on is one 192 GB MI300X at $1.85 an hour. The weights take about two percent of that card, so the question is not whether it fits but how many copies, or how much context, you pack beside it. At 8-bit the need is 1.9 GB, at 4-bit 0.9 GB, and the 131,072-token context is where the rest of the memory goes.
Apache 2.0 permits commercial use, so you can fine-tune it and ship it inside a product, provided the license notices travel with it and you state significant changes. Confirm your serving stack honors the full 131,072 tokens, and read the technical report at arXiv:2407.10671. The SAVRN Index has no host prices for it yet, so your per-token cost comes from your own hourly rate.
SAVRN's Notes on Qwen3-1.7B
Where does a text generator with 2B parameters belong in a facility we run? On a card that is already busy. At 4-bit it needs 1.2 GB of memory; at 16-bit, nothing quantized, 4.9 GB. The cheapest listed setup is one MI300X with 192 GB at $1.85 an hour on-demand, so we treat a footprint this small as a tenant, not a workload: it rides beside bigger jobs and adds nothing to the hardware bill.
Apache 2.0 allows commercial use, modification and redistribution; keep the license and copyright notices, state significant changes, and a fine-tune can ship to customers. Context is 40,960 tokens, what it holds in one pass. This checkpoint is derived from Qwen3-1.7B-Base, so a team planning its own instruction tuning starts from the base. No Index host sells it by the token, so the card price is the only price.
Questions
Which is larger, Qwen2.5-1.5B or Qwen3-1.7B?
Qwen3-1.7B (2B parameters) is larger than Qwen2.5-1.5B (1.5B parameters), by the parameter counts their publishers report.
Which is cheaper to run, Qwen2.5-1.5B or Qwen3-1.7B?
At 4-bit, Qwen2.5-1.5B fits on 1x MI300X from $1.85 an hour and Qwen3-1.7B 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 commercially?
Yes. Qwen2.5-1.5B 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 commercially?
Yes. Qwen3-1.7B 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.