SAVRN Model Hub · Comparisons
Qwen2.5-VL-32B-Instruct vs Qwen3.6-35B-A3B
Qwen2.5-VL-32B-Instruct has 33.5B parameters and Qwen3.6-35B-A3B has 36B parameters; both are released under Apache License 2.0; at 16-bit, Qwen2.5-VL-32B-Instruct needs about 80.3 GB (1x MI300X from $1.85 an hour) and Qwen3.6-35B-A3B about 86.3 GB (1x MI300X from $1.85 an hour).
| Field | Qwen2.5-VL-32B-Instruct Qwen/Qwen2.5-VL-32B-Instruct | Qwen3.6-35B-A3B Qwen/Qwen3.6-35B-A3B |
|---|---|---|
| Publisher | Qwen | Qwen |
| Task | Image and text to text | Image and text to text |
| Modality | Image and text | Image and text |
| Parameters, as reported | 33.5B parameters | 36B parameters |
| Architecture | Qwen2_5_VLForConditionalGeneration | Qwen3_5MoeForConditionalGeneration |
| Library | transformers | transformers |
| Context length | 128,000 tokens | 262,144 tokens |
| Repository size | 68.3 GB | 71.9 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) | 80.3 GB | 86.3 GB |
| Cheapest GPUs at 16-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Memory at 4-bit (weights and margin) | 20.1 GB | 21.6 GB |
| Cheapest GPUs at 4-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Revision viewed | 7cfb30d71a1f | 995ad96eacd9 |
| Downloads reported by the hub | 1.1M | 3.4M |
| 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.
Qwen3.6-35B-A3B
| Benchmark | Conditions | Result | Reported by | Revision | Date |
|---|---|---|---|---|---|
| Idavidrein/gpqa | Task diamondMetric diamondComparison conditions not established | 86 | Model Card Reported by a third party |
Evaluated revision not stated | 2026-04-16 |
| MMMU/MMMU_Pro | Task mmmu_pro_visionMetric mmmu_pro_visionComparison conditions not established | 75.3 | Model Card Reported by a third party |
Evaluated revision not stated | 2026-05-15 |
| MathArena/aime_2026 | Task MathArena/aime_2026Metric MathArena/aime_2026Comparison conditions not established | 92.7 | Model Card Reported by a third party |
Evaluated revision not stated | 2026-04-16 |
| MathArena/hmmt_feb_2026 | Task MathArena/hmmt_feb_2026Metric MathArena/hmmt_feb_2026Comparison conditions not established | 83.6 | Model Card Reported by a third party |
Evaluated revision not stated | 2026-04-16 |
| SWE-bench/SWE-bench_Multilingual | Task swe_bench_multilingual_%_resolvedMetric swe_bench_multilingual_%_resolvedComparison conditions not established | 67.2 | Model Card Reported by a third party |
Evaluated revision not stated | 2026-08-10 |
| SWE-bench/SWE-bench_Verified | Task swe_bench_%_resolvedMetric swe_bench_%_resolvedComparison conditions not established | 73.4 | Model Card Reported by a third party |
Evaluated revision not stated | 2026-04-16 |
| ScaleAI/SWE-bench_Pro | Task SWE_Bench_ProMetric SWE_Bench_ProComparison conditions not established | 49.5 | Model Card Reported by a third party |
Evaluated revision not stated | 2026-04-16 |
| TIGER-Lab/MMLU-Pro | Task mmlu_proMetric mmlu_proComparison conditions not established | 85.2 | Model Card Reported by a third party |
Evaluated revision not stated | 2026-04-16 |
| cais/hle | Task hleMetric hleComparison conditions not established | 21.4 | Model Card Reported by a third party |
Evaluated revision not stated | 2026-04-16 |
| harborframework/terminal-bench-2.0 | Task terminalbench_2Metric terminalbench_2Setup Harbor/Terminus-2 harness; 3h timeout, 32 CPU/48 GB RAM; temp=1.0, top_p=0.95, top_k=20, max_tokens=80K, 256K ctx; avg of 5 runs.Comparison conditions not established | 51.5 | Model Card Reported by a third party |
Evaluated revision not stated | 2026-04-16 |
| llamaindex/ExtractBench | Task longMetric longSetup Pipeline name: qwen3_6_35b_a3b_fp8_vllm_extract_oneshot_structured_output_file; served checkpoint Qwen/Qwen3.6-35B-A3B-FP8 on vLLM, one-shot json_object structured outputComparison conditions not established | 36.9 | ExtractBench Reported by a third party |
Evaluated revision not stated | 2026-08-26 |
| llamaindex/ExtractBench | Task meanMetric meanSetup Pipeline name: qwen3_6_35b_a3b_fp8_vllm_extract_oneshot_structured_output_file; served checkpoint Qwen/Qwen3.6-35B-A3B-FP8 on vLLM, one-shot json_object structured outputComparison conditions not established | 88.11 | ExtractBench Reported by a third party |
Evaluated revision not stated | 2026-08-26 |
| llamaindex/ExtractBench | Task mediumMetric mediumSetup Pipeline name: qwen3_6_35b_a3b_fp8_vllm_extract_oneshot_structured_output_file; served checkpoint Qwen/Qwen3.6-35B-A3B-FP8 on vLLM, one-shot json_object structured outputComparison conditions not established | 86.37 | ExtractBench Reported by a third party |
Evaluated revision not stated | 2026-08-26 |
| llamaindex/ExtractBench | Task shortMetric shortSetup Pipeline name: qwen3_6_35b_a3b_fp8_vllm_extract_oneshot_structured_output_file; served checkpoint Qwen/Qwen3.6-35B-A3B-FP8 on vLLM, one-shot json_object structured outputComparison conditions not established | 92.86 | ExtractBench Reported by a third party |
Evaluated revision not stated | 2026-08-26 |
| llamaindex/ParseBench | Task chartMetric chartSetup Pipeline name: qwen3_6_35b_a3b_fp8_vllm_parse_layoutComparison conditions not established | 5.1 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-04-16 |
| llamaindex/ParseBench | Task layoutMetric layoutSetup Pipeline name: qwen3_6_35b_a3b_fp8_vllm_parse_layoutComparison conditions not established | 47.4 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-04-16 |
| llamaindex/ParseBench | Task meanMetric meanSetup Pipeline name: qwen3_6_35b_a3b_fp8_vllm_parse_layoutComparison conditions not established | 44.1 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-04-16 |
| llamaindex/ParseBench | Task tableMetric tableSetup Pipeline name: qwen3_6_35b_a3b_fp8_vllm_parse_layoutComparison conditions not established | 19.1 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-04-16 |
| llamaindex/ParseBench | Task text_contentMetric text_contentSetup Pipeline name: qwen3_6_35b_a3b_fp8_vllm_parse_layoutComparison conditions not established | 90.7 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-04-16 |
| llamaindex/ParseBench | Task text_formattingMetric text_formattingSetup Pipeline name: qwen3_6_35b_a3b_fp8_vllm_parse_layoutComparison conditions not established | 58.3 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-04-16 |
SAVRN's Notes on Qwen2.5-VL-32B-Instruct
Run it at 16-bit and you need 80.3 GB, so precision is the hardware decision. At 8-bit it needs 40.1 GB, at 4-bit 20.1 GB. The cheapest setup on our board is one 192 GB MI300X at $1.85 per hour on-demand, and at 16-bit the weights alone take 66.9 GB of that card before context loads. Images and text go in, text comes out. Qwen ships the 33.5B parameters as 32 safetensors files, about 68.3 GB, so plan the storage pull first.
Apache 2.0 covers commercial use, modification and redistribution, provided notices stay and significant changes are stated, which suits a deployment inside your facility. Check the context: 128,000 tokens is the ceiling, the configuration lists a 32,768 token sliding window, and the page cites the YaRN paper on context window extension, arXiv 2309.00071, so test with your longest real inputs before committing. The technical report is arXiv 2502.13923.
SAVRN's Notes on Qwen3.6-35B-A3B
86.3 GB is the figure that picks the hardware. The 16-bit weights need that much once loaded, and the cheapest listed card, one MI300X with 192 GB, holds it at $1.85 an hour on-demand. At 4-bit the footprint is 21.6 GB, leaving most of the card for the 262,144-token window. Only 8 of 256 experts fire per token: memory for all 36B parameters, compute for a slice. It takes images as well as text, and the publisher's summary leads with coding.
Apache 2.0 allows commercial use, modification and redistribution, provided the notices travel with it. Before committing a card, price the rental: DeepInfra lists $0.10 in and $0.95 out per million tokens, Scaleway $0.29 and $1.71. If your volume will not fill $1.85 an hour, rent; if it will, the 71.9 GB of safetensors is yours. Released April 15, 2026 and updated April 24, so check the revision you pulled.
Questions
Which is larger, Qwen2.5-VL-32B-Instruct or Qwen3.6-35B-A3B?
Qwen3.6-35B-A3B (36B parameters) is larger than Qwen2.5-VL-32B-Instruct (33.5B parameters), by the parameter counts their publishers report.
Which is cheaper to run, Qwen2.5-VL-32B-Instruct or Qwen3.6-35B-A3B?
At 4-bit, Qwen2.5-VL-32B-Instruct fits on 1x MI300X from $1.85 an hour and Qwen3.6-35B-A3B on 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
Can I use Qwen2.5-VL-32B-Instruct commercially?
Yes. Qwen2.5-VL-32B-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 Qwen3.6-35B-A3B commercially?
Yes. Qwen3.6-35B-A3B 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.