qwen3-vl-235b-a22b-instruct

1414 Score third-party Elo · arena.ai / LMArena ?

Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. The Instruct model targets general vision-language use (VQA, document parsing, chart/table...

LLM & Generative AI 1 model 2 listings snapshot Oct 14, 2026, 12:43 AM

Platforms

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Cheapest DeepInfra no official benchmark Input$0.200 Output$0.880 per 1M tokens Fastest OpenRouter lowest p50 latency on this board 128.1 ms p50 Most free quota — largest published free allowance — free tier

Model variants

W3r9 dedup — same model + identical tags merge; prices are listed per billing form

Model	Provider	Tags	Input /1M	Output /1M
qwen/qwen3-vl-235b-a22b-instruct	OpenRouter	235b256k contextmultimodal	$0.210	$1.90
Qwen/Qwen3-VL-235B-A22B-Instruct	DeepInfra	235b256k contextmultimodal	$0.200	$0.880

Capabilities

official design_arena & architecture metadata

Design Arena Elo official design_arena benchmark (OpenRouter)

No official Design Arena benchmark from this provider. Showing official architecture metadata only.

Input / Output modalities modality: text+image->text

text in+out
image input only

Platform details

per provider

provider	model	Input /1M	Output /1M	Latency ?	Official $/1M	Availability	Data time
DeepInfra	Qwen/Qwen3-VL-235B-A22B-Instruct	$0.200	$0.880	—	—	—	2026-10-14 00:43:44
OpenRouter	qwen/qwen3-vl-235b-a22b-instruct	$0.210	$1.90	128.1 ms	—	100% available	2026-10-14 00:43:21
Together	Qwen/Qwen3-VL-235B-A22B-Instruct-FP8	$0	$0	—	—	—	2026-10-14 00:53:13

3 rows · snapshot 2026-10-14 00:43:44 · from data/public/prices.json + measurements.json