SAVRN Model Hub · Comparisons
Qwen3.5-0.8B vs surya-ocr-2
Qwen3.5-0.8B has 873M parameters and surya-ocr-2 has 686M parameters; Qwen3.5-0.8B is released under Apache License 2.0 and surya-ocr-2 under Open RAIL License; at 16-bit, Qwen3.5-0.8B needs about 2.1 GB (1x MI300X from $1.85 an hour) and surya-ocr-2 about 1.6 GB (1x MI300X from $1.85 an hour).
| Field | Qwen3.5-0.8B Qwen/Qwen3.5-0.8B | surya-ocr-2 datalab-to/surya-ocr-2 |
|---|---|---|
| Publisher | Qwen | Datalab |
| Task | Image and text to text | Image and text to text |
| Modality | Image and text | Image and text |
| Parameters, as reported | 873M parameters | 686M parameters |
| Architecture | Qwen3_5ForConditionalGeneration | Qwen3_5ForConditionalGeneration |
| Library | transformers | transformers |
| Context length | 262,144 tokens | 262,144 tokens |
| Repository size | 1.8 GB | 1.4 GB |
| Artifact formats | safetensors | safetensors |
| License | apache-2.0 | openrail |
| Access | Open weights, no gate | Open weights, no gate |
| Memory at 16-bit (weights and margin) | 2.1 GB | 1.6 GB |
| Cheapest GPUs at 16-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Memory at 4-bit (weights and margin) | 0.5 GB | 0.4 GB |
| Cheapest GPUs at 4-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Revision viewed | 2fc06364715b | 3b3d4cdf88d6 |
| Downloads reported by the hub | 2.4M | 1.3M |
| 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.
Qwen3.5-0.8B
| Benchmark | Conditions | Result | Reported by | Revision | Date |
|---|---|---|---|---|---|
| Idavidrein/gpqa | Task diamondMetric diamondComparison conditions not established | 11.9 | Model Card Reported by a third party |
Evaluated revision not stated | 2026-03-02 |
| LiquidAI/ifstruct-v1.0 | Task ifstruct_v1Metric ifstruct_v1Comparison conditions not established | 15.5 | Liquid AI — IFStruct v1.0 blog (Qwen3.5-0.8B) Reported by a third party |
Evaluated revision not stated | 2026-06-30 |
| MMMU/MMMU_Pro | Task mmmu_pro_visionMetric mmmu_pro_visionSetup ThinkingComparison conditions not established | 31.2 | Model Card Reported by a third party |
Evaluated revision not stated | 2026-04-28 |
| TIGER-Lab/MMLU-Pro | Task mmlu_proMetric mmlu_proComparison conditions not established | 29.7 | Model Card Reported by a third party |
Evaluated revision not stated | 2026-03-02 |
| likaixin/ScreenSpot-Pro | Task overallMetric overallComparison conditions not established | 46.5 | Model Card Reported by a third party |
Evaluated revision not stated | 2026-03-18 |
| llamaindex/ExtractBench | Task longMetric longSetup Pipeline name: qwen3_5_0_8b_vllm_extract_oneshot_structured_output_fileComparison conditions not established | 6.65 | ExtractBench Reported by a third party |
Evaluated revision not stated | 2026-08-24 |
| llamaindex/ExtractBench | Task meanMetric meanSetup Pipeline name: qwen3_5_0_8b_vllm_extract_oneshot_structured_output_fileComparison conditions not established | 46.63 | ExtractBench Reported by a third party |
Evaluated revision not stated | 2026-08-24 |
| llamaindex/ExtractBench | Task mediumMetric mediumSetup Pipeline name: qwen3_5_0_8b_vllm_extract_oneshot_structured_output_fileComparison conditions not established | 26.98 | ExtractBench Reported by a third party |
Evaluated revision not stated | 2026-08-24 |
| llamaindex/ExtractBench | Task shortMetric shortSetup Pipeline name: qwen3_5_0_8b_vllm_extract_oneshot_structured_output_fileComparison conditions not established | 57.44 | ExtractBench Reported by a third party |
Evaluated revision not stated | 2026-08-24 |
| llamaindex/ParseBench | Task chartMetric chartSetup Pipeline name: qwen3_5_0_8b_vllm_layoutComparison conditions not established | 0.4 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-04-22 |
| llamaindex/ParseBench | Task layoutMetric layoutSetup Pipeline name: qwen3_5_0_8b_vllm_layoutComparison conditions not established | 15 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-04-22 |
| llamaindex/ParseBench | Task meanMetric meanSetup Pipeline name: qwen3_5_0_8b_vllm_layoutComparison conditions not established | 28.4 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-04-22 |
| llamaindex/ParseBench | Task tableMetric tableSetup Pipeline name: qwen3_5_0_8b_vllm_layoutComparison conditions not established | 1.5 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-04-22 |
| llamaindex/ParseBench | Task text_contentMetric text_contentSetup Pipeline name: qwen3_5_0_8b_vllm_layoutComparison conditions not established | 82 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-04-22 |
| llamaindex/ParseBench | Task text_formattingMetric text_formattingSetup Pipeline name: qwen3_5_0_8b_vllm_layoutComparison conditions not established | 43.1 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-04-22 |
surya-ocr-2
| Benchmark | Conditions | Result | Reported by | Revision | Date |
|---|---|---|---|---|---|
| allenai/olmOCR-bench | Task arxiv_mathMetric arxiv_mathComparison conditions not established | 88.3 | Surya OCR 2 Model Card Reported by a third party |
Evaluated revision not stated | 2026-05-27 |
| allenai/olmOCR-bench | Task baselineMetric baselineComparison conditions not established | 99.7 | Surya OCR 2 Model Card Reported by a third party |
Evaluated revision not stated | 2026-05-27 |
| allenai/olmOCR-bench | Task headers_footersMetric headers_footersComparison conditions not established | 92.5 | Surya OCR 2 Model Card Reported by a third party |
Evaluated revision not stated | 2026-05-27 |
| allenai/olmOCR-bench | Task long_tiny_textMetric long_tiny_textComparison conditions not established | 93.7 | Surya OCR 2 Model Card Reported by a third party |
Evaluated revision not stated | 2026-05-27 |
| allenai/olmOCR-bench | Task multi_columnMetric multi_columnComparison conditions not established | 82.4 | Surya OCR 2 Model Card Reported by a third party |
Evaluated revision not stated | 2026-05-27 |
| allenai/olmOCR-bench | Task old_scansMetric old_scansComparison conditions not established | 41.8 | Surya OCR 2 Model Card Reported by a third party |
Evaluated revision not stated | 2026-05-27 |
| allenai/olmOCR-bench | Task old_scans_mathMetric old_scans_mathComparison conditions not established | 81.4 | Surya OCR 2 Model Card Reported by a third party |
Evaluated revision not stated | 2026-05-27 |
| allenai/olmOCR-bench | Task overallMetric overallComparison conditions not established | 83.3 | Surya OCR 2 Model Card Reported by a third party |
Evaluated revision not stated | 2026-05-27 |
| allenai/olmOCR-bench | Task table_testsMetric table_testsComparison conditions not established | 86.6 | Surya OCR 2 Model Card Reported by a third party |
Evaluated revision not stated | 2026-05-27 |
| llamaindex/ParseBench | Task chartMetric chartSetup Pipeline name: surya2_sdkComparison conditions not established | 21.95 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-06-01 |
| llamaindex/ParseBench | Task layoutMetric layoutSetup Pipeline name: surya2_sdkComparison conditions not established | 71.59 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-06-01 |
| llamaindex/ParseBench | Task meanMetric meanSetup Pipeline name: surya2_sdkComparison conditions not established | 64.83 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-06-01 |
| llamaindex/ParseBench | Task tableMetric tableSetup Pipeline name: surya2_sdkComparison conditions not established | 82.68 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-06-01 |
| llamaindex/ParseBench | Task text_contentMetric text_contentSetup Pipeline name: surya2_sdkComparison conditions not established | 86.57 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-06-01 |
| llamaindex/ParseBench | Task text_formattingMetric text_formattingSetup Pipeline name: surya2_sdkComparison conditions not established | 61.36 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-06-01 |
SAVRN's Notes on Qwen3.5-0.8B
Half a gigabyte of memory runs Qwen3.5-0.8B at 4-bit; 16-bit needs 2.1 GB and 8-bit 1.0 GB. It takes images and text in and returns text, with 873 million parameters and a 262,144-token context, and the evaluations the file reports, ScreenSpot-Pro and ExtractBench among them, point at screen and extraction work. The cheapest place to put it is a 192 GB MI300X at $1.85 an hour on demand, where dozens of copies fit, so the hourly rate is the cost that matters, not memory.
The file traces it to Qwen/Qwen3.5-0.8B-Base, and Apache License 2.0 allows commercial use, modification and redistribution, with notices kept and significant changes stated, so a tuned variant of your own is within the terms. Check the long-context path before leaning on the 262,144-token window: the ExtractBench figures in the file fall from 46.63 mean to 26.98 medium to 6.65 long, all third-party reported.
SAVRN's Notes on surya-ocr-2
A context window of 262,144 tokens on a 686M parameter OCR model tells you what Datalab built it for: whole documents, with layout, reading order and table rows and columns alongside the text. The 16-bit weights are 1.4 GB and need 1.6 GB; 8-bit needs 0.8 GB, 4-bit 0.4 GB. The cheapest setup in our data is one MI300X with 192 GB at $1.85 per hour, so one card runs many instances side by side and the buying question is pages per hour per dollar.
Open RAIL permits commercial use subject to use-based restrictions you must pass on to anyone who receives the model or a derivative, so read that list before it goes into a product. Then check the model card's own olmOCR-bench numbers, 83.3 overall but 41.8 on old scans, against your scanned backfile. The publisher calls it 650M parameters while the configuration counts 686M.
Questions
Which is larger, Qwen3.5-0.8B or surya-ocr-2?
Qwen3.5-0.8B (873M parameters) is larger than surya-ocr-2 (686M parameters), by the parameter counts their publishers report.
Which is cheaper to run, Qwen3.5-0.8B or surya-ocr-2?
At 4-bit, Qwen3.5-0.8B fits on 1x MI300X from $1.85 an hour and surya-ocr-2 on 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
Can I use Qwen3.5-0.8B commercially?
Yes. Qwen3.5-0.8B 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 surya-ocr-2 commercially?
Yes, with conditions. surya-ocr-2 is released under Open RAIL License. Open RAIL licenses permit use, including commercial use, subject to the use-based restrictions listed in the license, which must be passed on to anyone who receives the model or a derivative.