Question answering AI Models

Models listed

50

Reviewed and live in this category

Worth weighing up

What goes in and out, licence terms, and whether you can host it yourself

How we treat data

Published specs only — we don't estimate numbers a vendor hasn't stated

Question answering models are a source-backed task collection in this directory. The current editorial inventory contains 25 mapped model records. Task membership is a discovery signal, not a performance ranking, deployment recommendation, or proof that every checkpoint accepts the same inputs and returns the same outputs.

Start with the model list, then open each record that matches your data, operating constraints, and intended workflow. Check the primary source, documented modalities, license, release information, and implementation notes before using a model in production.

This collection keeps unsupported pricing, availability, and benchmark claims blank. Each page remains outside the public index until an editor approves its content and related model records.

Question answering model list

Scan the table below, then open any model for pricing, limits and the full write-up.

50 models
ModelCapabilityContextInput $/1MOutput $/1MSpeed
ahotrod/electra_large_discriminator_squad2_512
ahotrod
0.0
batterydata/batterybert-cased-squad-v1
batterydata
0.0
CATIE-AQ/QAmembert
CATIE-AQ
0.0
csarron/bert-base-uncased-squad-v1
csarron
0.0
csarron/mobilebert-uncased-squad-v1
csarron
0.0
csarron/mobilebert-uncased-squad-v2
csarron
0.0
deepset/bert-base-cased-squad2
deepset
0.0
deepset/bert-base-uncased-squad2
deepset
0.0
deepset/bert-large-uncased-whole-word-masking-squad2
deepset
0.0
deepset/bert-medium-squad2-distilled
deepset
0.0
deepset/deberta-v3-base-squad2
deepset
0.0
deepset/deberta-v3-large-squad2
deepset
0.0
deepset/gelectra-base-germanquad
deepset
0.0
deepset/gelectra-large-germanquad
deepset
0.0
deepset/minilm-uncased-squad2
deepset
0.0
deepset/roberta-base-squad2
deepset
0.0
deepset/roberta-base-squad2-distilled
deepset
0.0
deepset/roberta-large-squad2
deepset
0.0
deepset/tinyroberta-squad2
deepset
0.0
deepset/xlm-roberta-base-squad2
deepset
0.0
deepset/xlm-roberta-large-squad2
deepset
0.0
distilbert/distilbert-base-cased-distilled-squad
distilbert
0.0
distilbert/distilbert-base-uncased-distilled-squad
distilbert
0.0
dmis-lab/biobert-large-cased-v1.1-squad
dmis-lab
0.0
gaotianyu1350/roberta-large-squad
gaotianyu1350
0.0
google-bert/bert-large-cased-whole-word-masking-finetuned-squad
google-bert
0.0
google-bert/bert-large-uncased-whole-word-masking-finetuned-squad
google-bert
0.0
GreenMap/xlm-roberta-large-qa-ru-product-specs
GreenMap
0.0
HPAI-BSC/Llama3.1-Aloe-Beta-8B
HPAI-BSC
0.0
Jacaranda/UlizaLlama
Jacaranda
0.0
Jackrong/gpt-oss-120b-Distill-Phi-4-14B-GGUF
Jackrong
0.0
Lisibonny/modelo_qa_beto_squad_es_pdqa
Lisibonny
0.0
monologg/koelectra-base-v3-finetuned-korquad
monologg
0.0
monologg/koelectra-small-v2-distilled-korquad-384
monologg
0.0
mradermacher/Qwen3.5-27B-imabari-v2-i1-GGUF
mradermacher
0.0
mradermacher/Qwen3.5-9B-imabari-v2-i1-GGUF
mradermacher
0.0
mrm8488/bert-base-spanish-wwm-cased-finetuned-spa-squad2-es
mrm8488
0.0
OVHaiLLM/Llama-Open-Finance-8B
OVHaiLLM
0.0
philschmid/distilbert-onnx
philschmid
0.0
Rakib/roberta-base-on-cuad
Rakib
0.0
rsvp-ai/bertserini-bert-base-squad
rsvp-ai
0.0
sjrhuschlee/flan-t5-base-squad2
sjrhuschlee
0.0
sshleifer/tiny-distilbert-base-cased-distilled-squad
sshleifer
0.0
tau/splinter-base
tau
0.0
TIGER-Lab/general-verifier
TIGER-Lab
0.0
timpal0l/mdeberta-v3-base-squad2
timpal0l
0.0
vasudevgupta/bigbird-roberta-natural-questions
vasudevgupta
0.0
VietAI/vit5-base
VietAI
0.0
VietAI/vit5-large
VietAI
0.0
Xenova/distilbert-base-cased-distilled-squad
Xenova
0.0

50 models · click a column to sort

About the capability score: a 0–100 figure SyncDev calculates from each vendor's published specifications — context window, reasoning support, input modalities, tool calling, maximum output and how recently the model shipped. It measures breadth of capability, not benchmark performance, so a higher-scoring model is not automatically the better choice for your task.

Question answering model questions

It groups source-backed directory records for research and comparison. Review each model page and its primary documentation because collection membership alone does not prove quality, availability, or suitability.