SAVRN
Search Contact SAVRN

SAVRN Model Hub · Comparisons

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

Opus-mt-tc-big-ko-en has 209M parameters and t5-base has 223M parameters; opus-mt-tc-big-ko-en is released under Creative Commons Attribution 4.0 and t5-base 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-base about 0.5 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-base
google-t5/t5-base
Publisher Helsinki-NLP Research Group T5 community
Task Translation Translation
Modality Text Text
Parameters, as reported 209M parameters 223M parameters
Architecture MarianMTModel T5ForConditionalGeneration
Library transformers transformers
Context length 1,024 tokens Not stated
Repository size 1.7 GB 4.5 GB
Artifact formats safetensors, pytorch, tf safetensors, 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 0.5 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 0.1 GB
Cheapest GPUs at 4-bit, per hour 1x MI300X, $1.85 1x MI300X, $1.85
Revision viewed fa26583a41d9 a9723ea7f1b3
Downloads reported by the hub 139.7k 2.6M
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-base

Half a gigabyte of accelerator memory covers t5-base at 16-bit, with the weights at 0.4 GB, so the hardware question is not which card but how many jobs you stack on one. The cheapest setup in our data, a single MI300X with 192 GB at $1.85 per hour on-demand, sits nearly idle if this 223M-parameter translation model runs alone, so put it on a GPU already carrying other work.

Check two things first. Our record lists no context length, so test your longest translation inputs against the checkpoint directly. The 11 files total 4.5 GB across five formats; pull only the one your stack loads. Apache 2.0 permits commercial use, modification and redistribution as long as the license notices and any NOTICE file stay intact and you state significant changes, plus a patent grant from contributors. Pretraining was on C4; last update February 14, 2024.

Questions

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

t5-base (223M parameters) is larger than opus-mt-tc-big-ko-en (209M parameters), by the parameter counts their publishers report.

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

At 4-bit, opus-mt-tc-big-ko-en fits on 1x MI300X from $1.85 an hour and t5-base 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-base commercially?

Yes. t5-base 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.

Related Comparisons