SAVRN Model Hub · Comparisons
Qwen2.5-14B-Instruct vs Qwen3-14B
Qwen2.5-14B-Instruct has 14.8B parameters and Qwen3-14B has 14.8B parameters; both are released under Apache License 2.0; at 16-bit, Qwen2.5-14B-Instruct needs about 35.4 GB (1x MI300X from $1.85 an hour) and Qwen3-14B about 35.4 GB (1x MI300X from $1.85 an hour).
| Field | Qwen2.5-14B-Instruct Qwen/Qwen2.5-14B-Instruct | Qwen3-14B Qwen/Qwen3-14B |
|---|---|---|
| Publisher | Qwen | Qwen |
| Task | Text generation | Text generation |
| Modality | Text | Text |
| Parameters, as reported | 14.8B parameters | 14.8B parameters |
| Architecture | Qwen2ForCausalLM | Qwen3ForCausalLM |
| Library | transformers | transformers |
| Context length | 32,768 tokens | 40,960 tokens |
| Repository size | 29.6 GB | 29.6 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) | 35.4 GB | 35.4 GB |
| Cheapest GPUs at 16-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Memory at 4-bit (weights and margin) | 8.9 GB | 8.9 GB |
| Cheapest GPUs at 4-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Revision viewed | cf98f3b3bbb4 | 40c069824f42 |
| Downloads reported by the hub | 2.4M | 1.7M |
| 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 Qwen2.5-14B-Instruct
Load the 16-bit weights and Qwen2.5-14B-Instruct wants 35.4 GB of memory. The cheapest slot we track is one MI300X with 192 GB at $1.85 an hour on demand, so a single card carries it with most of its memory unused. At 8-bit the need drops to 17.7 GB and at 4-bit to 8.9 GB, where this 14.8 billion parameter text generation build fits beside other work on the same card.
Apache License 2.0 lets us run it commercially, modify it and redistribute it, provided the notices travel with every copy and significant changes are stated. Two checks before committing: the configuration lists a 32,768-token context beside a 131,072-token sliding window and cites arXiv:2309.00071 on context extension, so pin down which limit your serving stack honors; and it derives from Qwen/Qwen2.5-14B, so confirm instruct tuning suits the workload. The SAVRN Index lists no per-token host price for it.
SAVRN's Notes on Qwen3-14B
Two hosts on the SAVRN Index sell Qwen3-14B by the token: Nscale at $0.07 in and $0.20 out per million, DeepInfra at $0.12 and $0.24. Running it yourself starts with memory. At 4-bit the weights are 7.4 GB with 8.9 GB needed; at 16-bit, 29.5 GB and 35.4 GB. Both fit the cheapest setup the Index prices, one MI300X with 192 GB at $1.85 an hour on-demand. The 14.8B parameters switch between thinking and non-thinking modes in one set of weights.
Apache 2.0 permits commercial use, modification and redistribution with notices kept, so fine-tuned copies can ship. It is derived from Qwen/Qwen3-14B-Base, the starting point for further training. Hold designs to the 40,960-token context; the YaRN paper, arXiv:2309.00071, sits among the papers describing it, so ask what length was validated. No evaluations are reported, so run your own before weighing the $1.85 card against the per-token hosts.
Questions
Which is larger, Qwen2.5-14B-Instruct or Qwen3-14B?
Qwen2.5-14B-Instruct (14.8B parameters) is larger than Qwen3-14B (14.8B parameters), by the parameter counts their publishers report.
Which is cheaper to run, Qwen2.5-14B-Instruct or Qwen3-14B?
At 4-bit, Qwen2.5-14B-Instruct fits on 1x MI300X from $1.85 an hour and Qwen3-14B on 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
Can I use Qwen2.5-14B-Instruct commercially?
Yes. Qwen2.5-14B-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 Qwen3-14B commercially?
Yes. Qwen3-14B 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.