SAVRN Model Hub · Comparisons
chandra-ocr-2 vs gemma-3-4b-it
Chandra-ocr-2 has 5.3B parameters and gemma-3-4b-it has 4.3B parameters; chandra-ocr-2 is released under Open RAIL License and gemma-3-4b-it under Gemma Terms of Use; at 16-bit, chandra-ocr-2 needs about 12.7 GB (1x MI300X from $1.85 an hour) and gemma-3-4b-it about 10.3 GB (1x MI300X from $1.85 an hour).
| Field | chandra-ocr-2 datalab-to/chandra-ocr-2 | gemma-3-4b-it google/gemma-3-4b-it |
|---|---|---|
| Publisher | Datalab | |
| Task | Image and text to text | Image and text to text |
| Modality | Image and text | Image and text |
| Parameters, as reported | 5.3B parameters | 4.3B parameters |
| Architecture | Qwen3_5ForConditionalGeneration | Gemma3ForConditionalGeneration |
| Library | transformers | transformers |
| Context length | 262,144 tokens | Not stated |
| Repository size | 10.6 GB | 8.6 GB |
| Artifact formats | safetensors | safetensors |
| License | openrail | gemma |
| Access | Open weights, no gate | Access requested at publisher |
| Memory at 16-bit (weights and margin) | 12.7 GB | 10.3 GB |
| Cheapest GPUs at 16-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Memory at 4-bit (weights and margin) | 3.2 GB | 2.6 GB |
| Cheapest GPUs at 4-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Revision viewed | af93b47dba1b | 093f9f388b31 |
| Downloads reported by the hub | 2.8M | 1.8M |
| Last observed | 2026-09-19 | 2026-09-19 |
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.
chandra-ocr-2
| Benchmark | Conditions | Result | Reported by | Revision | Date |
|---|---|---|---|---|---|
| Delores-Lin/MDPBench | Task arMetric arComparison conditions not established | 78.2 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task deMetric deComparison conditions not established | 86.6 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task digitalMetric digitalComparison conditions not established | 87.8 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task enMetric enComparison conditions not established | 86.5 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task esMetric esComparison conditions not established | 69.7 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task frMetric frComparison conditions not established | 70.3 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task hiMetric hiComparison conditions not established | 81.1 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task idMetric idComparison conditions not established | 84.6 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task itMetric itComparison conditions not established | 87.4 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task jpMetric jpComparison conditions not established | 68.8 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task koMetric koComparison conditions not established | 80.3 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task latinMetric latinComparison conditions not established | 82.7 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task nlMetric nlComparison conditions not established | 82.7 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task non_latinMetric non_latinComparison conditions not established | 76.4 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task overallMetric overallComparison conditions not established | 79.7 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task photographedMetric photographedComparison conditions not established | 77.1 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task privateMetric privateComparison conditions not established | 82.4 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task ptMetric ptComparison conditions not established | 90.7 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task ruMetric ruComparison conditions not established | 74 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task thMetric thComparison conditions not established | 78.5 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task viMetric viComparison conditions not established | 85.6 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task zhMetric zhComparison conditions not established | 73.8 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| Delores-Lin/MDPBench | Task zh_tMetric zh_tComparison conditions not established | 76.3 | MDPBench leaderboard Reported by a third party |
Evaluated revision not stated | 2026-07-03 |
| allenai/olmOCR-bench | Task arxiv_mathMetric arxiv_mathComparison conditions not established | 86.9 | Chandra OCR 2 Model Card Reported by a third party |
Evaluated revision not stated | 2026-06-26 |
| allenai/olmOCR-bench | Task baselineMetric baselineComparison conditions not established | 99.9 | Chandra OCR 2 Model Card Reported by a third party |
Evaluated revision not stated | 2026-06-26 |
| allenai/olmOCR-bench | Task headers_footersMetric headers_footersComparison conditions not established | 91.4 | Chandra OCR 2 Model Card Reported by a third party |
Evaluated revision not stated | 2026-06-26 |
| allenai/olmOCR-bench | Task long_tiny_textMetric long_tiny_textComparison conditions not established | 93.7 | Chandra OCR 2 Model Card Reported by a third party |
Evaluated revision not stated | 2026-06-26 |
| allenai/olmOCR-bench | Task multi_columnMetric multi_columnComparison conditions not established | 82.1 | Chandra OCR 2 Model Card Reported by a third party |
Evaluated revision not stated | 2026-06-26 |
| allenai/olmOCR-bench | Task old_scansMetric old_scansComparison conditions not established | 51.1 | Chandra OCR 2 Model Card Reported by a third party |
Evaluated revision not stated | 2026-06-26 |
| allenai/olmOCR-bench | Task old_scans_mathMetric old_scans_mathComparison conditions not established | 89.1 | Chandra OCR 2 Model Card Reported by a third party |
Evaluated revision not stated | 2026-06-26 |
| allenai/olmOCR-bench | Task overallMetric overallComparison conditions not established | 85.8 | Chandra OCR 2 Model Card Reported by a third party |
Evaluated revision not stated | 2026-06-26 |
| allenai/olmOCR-bench | Task table_testsMetric table_testsComparison conditions not established | 92.1 | Chandra OCR 2 Model Card Reported by a third party |
Evaluated revision not stated | 2026-06-26 |
| llamaindex/ParseBench | Task chartMetric chartSetup Pipeline name: chandra2_vllmComparison conditions not established | 65.1 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-04-14 |
| llamaindex/ParseBench | Task layoutMetric layoutSetup Pipeline name: chandra2_vllmComparison conditions not established | 51.2 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-04-14 |
| llamaindex/ParseBench | Task meanMetric meanSetup Pipeline name: chandra2_vllmComparison conditions not established | 70.1 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-04-14 |
| llamaindex/ParseBench | Task tableMetric tableSetup Pipeline name: chandra2_vllmComparison conditions not established | 89.2 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-04-14 |
| llamaindex/ParseBench | Task text_contentMetric text_contentSetup Pipeline name: chandra2_vllmComparison conditions not established | 83.7 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-04-14 |
| llamaindex/ParseBench | Task text_formattingMetric text_formattingSetup Pipeline name: chandra2_vllmComparison conditions not established | 61.4 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-04-14 |
gemma-3-4b-it
| Benchmark | Conditions | Result | Reported by | Revision | Date |
|---|---|---|---|---|---|
| Idavidrein/gpqa | Task diamondMetric diamondSetup GPQA DiamondComparison conditions not established | 36.8687 | EvalEval Reported by a third party |
Evaluated revision not stated | 2026-04-18 |
| Idavidrein/gpqa | Task mainMetric mainSetup GPQA chain-of-thoughtComparison conditions not established | 16.3677 | EvalEval Reported by a third party |
Evaluated revision not stated | 2026-06-30 |
| sapbot/ask-my-agent-bench-2 | Task fallbackMetric fallbackComparison conditions not established | 32.4 | Not named Reported by a third party |
Evaluated revision not stated | 2026-06-23 |
SAVRN's Notes on chandra-ocr-2
Chandra 2 turns images and PDFs into markdown, HTML or JSON while keeping the page layout, which is the part most OCR tools lose. Datalab built it on a Qwen 3.5 vision base at 5.3B parameters, and 2.8 million downloads a month make it one of the most used document models in our catalog.
It fits on a single mid-range GPU at 16-bit, and a 262,144-token context handles long multipage output. The OpenRAIL license allows commercial use subject to its use restrictions so read them before building a paid document product on it. For a document-heavy business this is a model worth testing first.
SAVRN's Notes on gemma-3-4b-it
Image and text in, text out, 4.3B parameters. Memory runs 10.3 GB at 16-bit, 5.2 GB at 8-bit and 2.6 GB at 4-bit, so the cheapest Index setup, one MI300X with 192 GB at $1.85 an hour on demand, has most of its card to spare. Plan on it sharing that card with larger tenants.
The license is where to slow down. Gemma Terms of Use allow commercial use and redistribution subject to the Prohibited Use Policy, whose restrictions pass to anyone you distribute to, so treat it as conditional. Access is gated, so the files come from the publisher once you clear it. The page's context field is empty while the publisher describes a 128K window, so confirm it on your stack. It derives from gemma-3-4b-pt. DeepInfra's $0.05 in and $0.10 out per million tokens is the per-token price to beat.
Questions
Which is larger, chandra-ocr-2 or gemma-3-4b-it?
chandra-ocr-2 (5.3B parameters) is larger than gemma-3-4b-it (4.3B parameters), by the parameter counts their publishers report.
Which is cheaper to run, chandra-ocr-2 or gemma-3-4b-it?
At 4-bit, chandra-ocr-2 fits on 1x MI300X from $1.85 an hour and gemma-3-4b-it on 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
Can I use chandra-ocr-2 commercially?
Yes, with conditions. chandra-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.
Can I use gemma-3-4b-it commercially?
Yes, with conditions. gemma-3-4b-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.