SAVRN Model Hub · Comparisons
gemma-4-E4B-it vs MiniCPM-o-2_6
Gemma-4-E4B-it has 8B parameters and MiniCPM-o-2_6 has 8.7B parameters; both are released under Apache License 2.0; at 16-bit, gemma-4-E4B-it needs about 19.2 GB (1x MI300X from $1.85 an hour) and MiniCPM-o-2_6 about 20.8 GB (1x MI300X from $1.85 an hour).
| Field | gemma-4-E4B-it google/gemma-4-E4B-it | MiniCPM-o-2_6 openbmb/MiniCPM-o-2_6 |
|---|---|---|
| Publisher | OpenBMB | |
| Task | Any to any | Any to any |
| Modality | Multimodal | Multimodal |
| Parameters, as reported | 8B parameters | 8.7B parameters |
| Architecture | Gemma4ForConditionalGeneration | MiniCPMO |
| Library | transformers | transformers |
| Context length | 131,072 tokens | 32,768 tokens |
| Repository size | 16.0 GB | 17.4 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) | 19.2 GB | 20.8 GB |
| Cheapest GPUs at 16-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Memory at 4-bit (weights and margin) | 4.8 GB | 5.2 GB |
| Cheapest GPUs at 4-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Revision viewed | ee0ef6023621 | 06849bfd36da |
| Downloads reported by the hub | 4.5M | 340k |
| 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.
gemma-4-E4B-it
| Benchmark | Conditions | Result | Reported by | Revision | Date |
|---|---|---|---|---|---|
| Idavidrein/gpqa | Task diamondMetric diamondComparison conditions not established | 58.6 | Model Card Reported by a third party |
Evaluated revision not stated | 2026-04-02 |
| LiquidAI/ifstruct-v1.0 | Task ifstruct_v1Metric ifstruct_v1Comparison conditions not established | 76.65 | Liquid AI — IFStruct v1.0 blog (gemma-4-E4B-it) Reported by a third party |
Evaluated revision not stated | 2026-06-30 |
| MMMU/MMMU_Pro | Task mmmu_pro_visionMetric mmmu_pro_visionComparison conditions not established | 52.6 | Model Card Reported by a third party |
Evaluated revision not stated | 2026-05-12 |
| MathArena/aime_2026 | Task MathArena/aime_2026Metric MathArena/aime_2026Comparison conditions not established | 42.5 | Model Card Reported by a third party |
Evaluated revision not stated | 2026-03-02 |
| TIGER-Lab/MMLU-Pro | Task mmlu_proMetric mmlu_proComparison conditions not established | 69.4 | Model Card Reported by a third party |
Evaluated revision not stated | 2026-04-02 |
| llamaindex/ExtractBench | Task longMetric longSetup Pipeline name: gemma4_e4b_vllm_extract_oneshot_structured_output_fileComparison conditions not established | 26.82 | ExtractBench Reported by a third party |
Evaluated revision not stated | 2026-08-24 |
| llamaindex/ExtractBench | Task meanMetric meanSetup Pipeline name: gemma4_e4b_vllm_extract_oneshot_structured_output_fileComparison conditions not established | 69.64 | ExtractBench Reported by a third party |
Evaluated revision not stated | 2026-08-24 |
| llamaindex/ExtractBench | Task mediumMetric mediumSetup Pipeline name: gemma4_e4b_vllm_extract_oneshot_structured_output_fileComparison conditions not established | 48.93 | ExtractBench Reported by a third party |
Evaluated revision not stated | 2026-08-24 |
| llamaindex/ExtractBench | Task shortMetric shortSetup Pipeline name: gemma4_e4b_vllm_extract_oneshot_structured_output_fileComparison conditions not established | 81.1 | ExtractBench Reported by a third party |
Evaluated revision not stated | 2026-08-24 |
| llamaindex/ParseBench | Task chartMetric chartSetup Pipeline name: gemma4_e4b_vllm_with_layoutComparison conditions not established | 7.7 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-04-14 |
| llamaindex/ParseBench | Task layoutMetric layoutSetup Pipeline name: gemma4_e4b_vllm_with_layoutComparison conditions not established | 35.8 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-04-14 |
| llamaindex/ParseBench | Task meanMetric meanSetup Pipeline name: gemma4_e4b_vllm_with_layoutComparison conditions not established | 40.5 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-04-14 |
| llamaindex/ParseBench | Task tableMetric tableSetup Pipeline name: gemma4_e4b_vllm_with_layoutComparison conditions not established | 25 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-04-14 |
| llamaindex/ParseBench | Task text_contentMetric text_contentSetup Pipeline name: gemma4_e4b_vllm_with_layoutComparison conditions not established | 81.4 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-04-14 |
| llamaindex/ParseBench | Task text_formattingMetric text_formattingSetup Pipeline name: gemma4_e4b_vllm_with_layoutComparison conditions not established | 52.5 | ParseBench Reported by a third party |
Evaluated revision not stated | 2026-04-14 |
SAVRN's Notes on gemma-4-E4B-it
The name says E4B, the file counts 8 billion parameters, and memory follows the second number: 16.0 GB of weights at 16-bit and 19.2 GB needed. That fits the cheapest setup on our Index, one 192 GB MI300X at $1.85 an hour on-demand, with room for nine more copies. You get an instruction-tuned model taking text, images and audio in and writing text out, so one deployment covers several channels.
On licensing, Apache 2.0 covers commercial use, modification and redistribution, provided the license notices and a statement of significant changes travel with it. Check the context: the publisher describes the family at up to 256K tokens, this checkpoint's configuration says 131,072, and 131,072 is what you deploy against. It derives from google/gemma-4-E4B; start there if you plan your own tuning. The scores come from the model card and outside evaluators, none from us, and no Index host prices it.
SAVRN's Notes on MiniCPM-o-2_6
Plan around 20.8 GB. That is the 16-bit footprint of MiniCPM-o 2.6, and it falls to 10.4 GB at 8-bit and 5.2 GB at 4-bit. On the cheapest card in our table, one MI300X with 192 GB at $1.85 per hour on-demand, that leaves most of the memory free, so the practical deployment is several copies per card. You get an 8.7B parameter any-to-any model assembled end to end from SigLip-400M, Whisper-medium-300M, ChatTTS-200M and Qwen2.5-7B, with a 32,768 token context.
Apache 2.0 allows commercial use, modification and redistribution, asks you to keep the license, copyright and NOTICE files and state significant changes, and carries a patent grant from contributors, which matters once a product depends on it. Before committing, check that the alignment data is the RLAIF-V-Dataset, that the weights ship only as safetensors, and that the repository was last updated August 18, 2026 after a January 12, 2025 release.
Questions
Which is larger, gemma-4-E4B-it or MiniCPM-o-2_6?
MiniCPM-o-2_6 (8.7B parameters) is larger than gemma-4-E4B-it (8B parameters), by the parameter counts their publishers report.
Which is cheaper to run, gemma-4-E4B-it or MiniCPM-o-2_6?
At 4-bit, gemma-4-E4B-it fits on 1x MI300X from $1.85 an hour and MiniCPM-o-2_6 on 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
Can I use gemma-4-E4B-it commercially?
Yes. gemma-4-E4B-it 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 MiniCPM-o-2_6 commercially?
Yes. MiniCPM-o-2_6 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.