SAVRN Model Hub · Comparisons
OpenELM-1_1B-Instruct vs Qwen3-0.6B
OpenELM-1_1B-Instruct has 1.1B parameters and Qwen3-0.6B has 752M parameters; OpenELM-1_1B-Instruct is released under apple-amlr and Qwen3-0.6B under Apache License 2.0; at 16-bit, OpenELM-1_1B-Instruct needs about 2.6 GB (1x MI300X from $1.85 an hour) and Qwen3-0.6B about 1.8 GB (1x MI300X from $1.85 an hour).
| Field | OpenELM-1_1B-Instruct apple/OpenELM-1_1B-Instruct | Qwen3-0.6B Qwen/Qwen3-0.6B |
|---|---|---|
| Publisher | Apple | Qwen |
| Task | Text generation | Text generation |
| Modality | Text | Text |
| Parameters, as reported | 1.1B parameters | 752M parameters |
| Architecture | OpenELMForCausalLM | Qwen3ForCausalLM |
| Library | transformers | transformers |
| Context length | Not stated | 40,960 tokens |
| Repository size | 2.2 GB | 1.5 GB |
| Artifact formats | safetensors | safetensors |
| License | apple-amlr | apache-2.0 |
| Access | Open weights, no gate | Open weights, no gate |
| Memory at 16-bit (weights and margin) | 2.6 GB | 1.8 GB |
| Cheapest GPUs at 16-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Memory at 4-bit (weights and margin) | 0.6 GB | 0.5 GB |
| Cheapest GPUs at 4-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Revision viewed | effd796da2a7 | c1899de289a0 |
| Downloads reported by the hub | 1.1M | 29.9M |
| Last observed | 2026-10-01 | 2026-10-16 |
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 OpenELM-1_1B-Instruct
Read the license before the spec sheet: Apple ships this under its own apple-amlr terms and our facts file summarizes nothing, so legal reads the full text before anyone loads a weight. The spec sheet itself is easy — 1.1B parameters needing 2.6 GB at 16-bit, 1.3 GB at 8-bit, 0.6 GB at 4-bit — so a dedicated MI300X at $1.85 an hour would sit essentially empty. It belongs on a shared card or at the edge.
The gaps are the story: no context length is published, and no SAVRN Index host serves it, so there is no per-token price to benchmark against. What you get is Apple's instruct-tuned entry in a 270M-to-3B family, with the CoreNet training framework open alongside and the paper at arXiv 2404.14619. For research into efficient small models it is a legitimate starting point; for a product, the license review comes first. It draws 1.1M downloads a month.
SAVRN's Notes on Qwen3-0.6B
752M parameters paired with a 40,960-token context is the story here: a sub-billion-parameter model that reads whole documents. Memory runs 1.8 GB at 16-bit and 0.5 GB at 4-bit, so the cheapest setup we list — one 192 GB MI300X at $1.85 an hour — would hold more than a hundred copies; it rides beside larger workloads. At 29.6M downloads a month it leads every text-generation model in this part of the directory.
Apache 2.0 clears commercial use, modification and redistribution, notices kept and significant changes stated. The weights are one 1.5 GB safetensors file in bfloat16 over 28 layers. It derives from Qwen3-0.6B-Base, and the Qwen3 technical report (arXiv:2505.09388) sets out the design — start from the base if you plan your own post-training. No host on our Index quotes a per-token price, so the hourly card is the only cost signal.
Questions
Which is larger, OpenELM-1_1B-Instruct or Qwen3-0.6B?
OpenELM-1_1B-Instruct (1.1B parameters) is larger than Qwen3-0.6B (752M parameters), by the parameter counts their publishers report.
Which is cheaper to run, OpenELM-1_1B-Instruct or Qwen3-0.6B?
At 4-bit, OpenELM-1_1B-Instruct fits on 1x MI300X from $1.85 an hour and Qwen3-0.6B on 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
Can I use Qwen3-0.6B commercially?
Yes. Qwen3-0.6B 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.