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opus-mt-tc-big-ko-en vs t5-small

Opus-mt-tc-big-ko-en has 209M parameters and t5-small has 61M parameters; opus-mt-tc-big-ko-en is released under Creative Commons Attribution 4.0 and t5-small under Apache License 2.0; at 16-bit, opus-mt-tc-big-ko-en needs about 0.5 GB (1x MI300X from $1.85 an hour) and t5-small about 0.1 GB (1x MI300X from $1.85 an hour).

Published metadata for 2 models, each read from its own repository.
Field opus-mt-tc-big-ko-en
Helsinki-NLP/opus-mt-tc-big-ko-en
t5-small
google-t5/t5-small
Publisher Helsinki-NLP Research Group T5 community
Task Translation Translation
Modality Text Text
Parameters, as reported 209M parameters 61M parameters
Architecture MarianMTModel T5ForConditionalGeneration
Library transformers transformers
Context length 1,024 tokens Not stated
Repository size 1.7 GB 2.2 GB
Artifact formats safetensors, pytorch, tf safetensors, onnx, pytorch, jax, rust, tf
License cc-by-4.0 apache-2.0
Access Open weights, no gate Open weights, no gate
Memory at 16-bit (weights and margin) 0.5 GB 0.1 GB
Cheapest GPUs at 16-bit, per hour 1x MI300X, $1.85 1x MI300X, $1.85
Memory at 4-bit (weights and margin) 0.1 GB 0 GB
Cheapest GPUs at 4-bit, per hour 1x MI300X, $1.85 1x MI300X, $1.85
Revision viewed fa26583a41d9 df1b051c4962
Downloads reported by the hub 139.7k 25M
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.

opus-mt-tc-big-ko-en

BenchmarkConditionsResultReported byRevisionDate
flores101-devtest Task Translation kor-engMetric BLEUComparison conditions not established 27.7 Helsinki-NLP
Publisher reported
Evaluated revision not stated
flores101-devtest Task Translation kor-engMetric chr-FComparison conditions not established 0.56615 Helsinki-NLP
Publisher reported
Evaluated revision not stated
tatoeba-test-v2021-08-07 Task Translation kor-engMetric BLEUComparison conditions not established 41.3 Helsinki-NLP
Publisher reported
Evaluated revision not stated
tatoeba-test-v2021-08-07 Task Translation kor-engMetric chr-FComparison conditions not established 0.58829 Helsinki-NLP
Publisher reported
Evaluated revision not stated

SAVRN's Notes on t5-small

The 4-bit row reads 0.0 GB and the 16-bit row 0.1 GB, so quantizing buys nothing worth the trouble. The cheapest setup we list is a 192 GB MI300X at $1.85 an hour, which makes the only hardware question what else that card does. What you get is the 61M-parameter checkpoint of the text-to-text transfer transformer, pretrained on C4 with a mix of unsupervised and supervised tasks, labeled for translation.

Apache 2.0 means you can fine-tune it, ship the result and sell it, keeping the notices and stating what you changed. No context length is listed, so measure your longest input against the model yourself. The seven papers listed for it are task datasets, acceptability judgments, semantic textual similarity, inference, SQuAD, word in context, reading comprehension and yes-or-no questions, the trail for what the supervised side covered. The last update was 2023-06-30.

Questions

Which is larger, opus-mt-tc-big-ko-en or t5-small?

opus-mt-tc-big-ko-en (209M parameters) is larger than t5-small (61M parameters), by the parameter counts their publishers report.

Which is cheaper to run, opus-mt-tc-big-ko-en or t5-small?

At 4-bit, opus-mt-tc-big-ko-en fits on 1x MI300X from $1.85 an hour and t5-small on 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.

Can I use opus-mt-tc-big-ko-en commercially?

Yes. opus-mt-tc-big-ko-en is released under Creative Commons Attribution 4.0. CC BY 4.0 permits sharing and adapting the work, including commercially, provided the creator is credited and changes are indicated.

Can I use t5-small commercially?

Yes. t5-small 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.

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