SAVRN Model Hub · Comparisons
gemma-3-1b-it vs Qwen3-0.6B
Gemma-3-1b-it has 1B parameters and Qwen3-0.6B has 752M parameters; gemma-3-1b-it is released under Gemma Terms of Use and Qwen3-0.6B under Apache License 2.0; at 16-bit, gemma-3-1b-it needs about 2.4 GB (1x MI300X from $1.85 an hour) and Qwen3-0.6B about 1.8 GB (1x MI300X from $1.85 an hour).
| Field | gemma-3-1b-it google/gemma-3-1b-it | Qwen3-0.6B Qwen/Qwen3-0.6B |
|---|---|---|
| Publisher | Qwen | |
| Task | Text generation | Text generation |
| Modality | Text | Text |
| Parameters, as reported | 1B parameters | 752M parameters |
| Architecture | Gemma3ForCausalLM | Qwen3ForCausalLM |
| Library | transformers | transformers |
| Context length | Not stated | 40,960 tokens |
| Repository size | 2.0 GB | 1.5 GB |
| Artifact formats | safetensors | safetensors |
| License | gemma | apache-2.0 |
| Access | Access requested at publisher | Open weights, no gate |
| Memory at 16-bit (weights and margin) | 2.4 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 | dcc83ea841ab | c1899de289a0 |
| Downloads reported by the hub | 2M | 29.9M |
| Last observed | 2026-10-16 | 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.
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.
gemma-3-1b-it
| Benchmark | Conditions | Result | Reported by | Revision | Date |
|---|---|---|---|---|---|
| Idavidrein/gpqa | Task diamondMetric diamondSetup GPQA DiamondComparison conditions not established | 24.7475 | EvalEval Reported by a third party |
Evaluated revision not stated | 2026-04-16 |
| Idavidrein/gpqa | Task mainMetric mainSetup GPQA chain-of-thoughtComparison conditions not established | 16.8161 | EvalEval Reported by a third party |
Evaluated revision not stated | 2026-06-30 |
SAVRN's Notes on gemma-3-1b-it
At 16-bit the memory bill for this instruction-tuned text generator is 2.4 GB, and at 4-bit it is 0.6 GB. The cheapest card on our Index that clears either is one MI300X, 192 GB at $1.85 an hour on-demand, so the hourly price reflects the card market, not anything a 1B-parameter model needs. The 8-bit build lands at 1.2 GB. It shares a card you already own; nobody provisions a machine for it.
Access is gated: the files come from Google once you accept the Gemma Terms of Use, which allow commercial use and redistribution but attach the Prohibited Use Policy to every copy you distribute. Fine-tune it, ship it inside a product, and those restrictions ship too. It derives from gemma-3-1b-pt, the base for your own instruction tuning. The page lists no context length for this checkpoint and no host prices, so confirm the window before sizing prompts.
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, gemma-3-1b-it or Qwen3-0.6B?
gemma-3-1b-it (1B parameters) is larger than Qwen3-0.6B (752M parameters), by the parameter counts their publishers report.
Which is cheaper to run, gemma-3-1b-it or Qwen3-0.6B?
At 4-bit, gemma-3-1b-it 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 gemma-3-1b-it commercially?
Yes, with conditions. gemma-3-1b-it is released under Gemma Terms of Use. Gemma models are released under Google's Gemma Terms of Use, which permit commercial use and redistribution subject to the Gemma Prohibited Use Policy, whose restrictions must be passed on to anyone the model is distributed to.
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.