Specification

Release date: 23 Sept 2025
Source:OpenRouter public model & pricing listingT2observed 5 h agomedium
Context window: 262.1K tokens
Source:OpenRouter public model & pricing listingT2observed 5 h agomedium
Max output: 32.8K tokens
Source:OpenRouter public model & pricing listingT2observed 5 h agomedium
Knowledge cutoff: Mar 2025
Source:OpenRouter public model & pricing listingT2observed 5 h agomedium
Modalities: image, text
Source:OpenRouter public model & pricing listingT2observed 5 h agomedium
Input modalities: image, text
Source:OpenRouter public model & pricing listingT2observed 5 h agomedium
Output modalities: text
Source:OpenRouter public model & pricing listingT2observed 5 h agomedium
Tokenizer: Qwen3
Source:OpenRouter public model & pricing listingT2observed 5 h agomedium
Hugging Face repo: Qwen/Qwen3-VL-235B-A22B-Instruct
Source:OpenRouter public model & pricing listingT2observed 5 h agomedium
Openrouter id: qwen/qwen3-vl-235b-a22b-instruct
Source:OpenRouter public model & pricing listingT2observed 5 h agomedium
Supported parameters: frequency_penalty, logit_bias, logprobs, max_tokens, min_p, presence_penalty, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
Source:OpenRouter public model & pricing listingT2observed 5 h agomedium

Each value shows its source, tier and observation time. Conflicting claims are kept side by side and flagged — never averaged. How AI Atlas records facts →

Provenance

Attributed facts

15

Source tiers

T215

Freshest observation

5 h ago

Conflicts

None

Modalities

Modalities: imagetext
Input: imagetext
Output: text

Capabilities

Tool calling
Yes
OpenRouter public model & pricing listing · T2
Structured output
Yes
OpenRouter public model & pricing listing · T2
Reasoning
Unavailable
Vision
Yes
OpenRouter public model & pricing listing · T2
Audio
Unavailable
Fine-tuning available
Unavailable

Context window: 262.1K tokens
Source:OpenRouter public model & pricing listingT2observed 5 h agomedium
Max output: 32.8K tokens
Source:OpenRouter public model & pricing listingT2observed 5 h agomedium
Knowledge cutoff: Mar 2025
Source:OpenRouter public model & pricing listingT2observed 5 h agomedium
Tokenizer: Qwen3
Source:OpenRouter public model & pricing listingT2observed 5 h agomedium

No benchmark results recorded

Results appear when a tier 1–3 source publishes them; we never copy scores without a source.

Current prices

Current prices per 1M tokens
Provider	Input / 1M	Output / 1M	Cached in	Batch in / out	Context	Observed	Source
OpenRouterqwen/qwen3-vl-235b-a22b-instruct	$0.21	$1.9	$0.10	—	131.1K	5 h ago	openrouter.aiT2

USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.

Available through 1

OpenRouter

Price history

Input price · USD / 1M tokens

Output price · USD / 1M tokens

OpenRouter

No hardware estimate available

Estimates need a parameter count; this model has none recorded from a source.

No lineage recorded

Lineage comes from explicit `derived_from`, `fine_tuned_from`, `distilled_from` and `quantized_from` relations stated by sources.

Papers 0

No papers linked yet.

Repositories 0

No repositories linked yet.

As of

Rewind the record: see this entity's attributes exactly as AI Atlas knew them on a given day.

Claim history

15 claims · 15 properties

Release daterelease_date1

Claim history for Release date
Value	Valid from → to	Status	Source	Confidence	Extractor
23 Sept 2025	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Context windowcontext_length1

Claim history for Context window
Value	Valid from → to	Status	Source	Confidence	Extractor
262.1K tokens	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Max outputmax_output_tokens1

Claim history for Max output
Value	Valid from → to	Status	Source	Confidence	Extractor
32.8K tokens	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Knowledge cutoffknowledge_cutoff1

Claim history for Knowledge cutoff
Value	Valid from → to	Status	Source	Confidence	Extractor
Mar 2025	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Modalitiesmodalities1

Claim history for Modalities
Value	Valid from → to	Status	Source	Confidence	Extractor
image, text	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Input modalitiesmodalities_input1

Claim history for Input modalities
Value	Valid from → to	Status	Source	Confidence	Extractor
image, text	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Output modalitiesmodalities_output1

Claim history for Output modalities
Value	Valid from → to	Status	Source	Confidence	Extractor
text	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Tokenizertokenizer1

Claim history for Tokenizer
Value	Valid from → to	Status	Source	Confidence	Extractor
Qwen3	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Hugging Face repohf_repo1

Claim history for Hugging Face repo
Value	Valid from → to	Status	Source	Confidence	Extractor
Qwen/Qwen3-VL-235B-A22B-Instruct	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Descriptiondescription1

Claim history for Description
Value	Valid from → to	Status	Source	Confidence	Extractor
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...	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Openrouter idopenrouter_id1

Claim history for Openrouter id
Value	Valid from → to	Status	Source	Confidence	Extractor
qwen/qwen3-vl-235b-a22b-instruct	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Structured outputstructured_output1

Claim history for Structured output
Value	Valid from → to	Status	Source	Confidence	Extractor
Yes	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Supported parameterssupported_parameters1

Claim history for Supported parameters
Value	Valid from → to	Status	Source	Confidence	Extractor
frequency_penalty, logit_bias, logprobs, max_tokens, min_p, presence_penalty, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Tool callingtool_calling1

Claim history for Tool calling
Value	Valid from → to	Status	Source	Confidence	Extractor
Yes	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Visionvision1

Claim history for Vision
Value	Valid from → to	Status	Source	Confidence	Extractor
Yes	11 Sept 2026 21:10 UTC → current	current	OpenRouter public model & pricing listingT2	medium	deterministic

Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →

23 Sept 2025
New modelModelQwen3 VL 235B A22B InstructQwen
New model: Qwen3 VL 235B A22B Instruct (Qwen)
openrouter
openrouter.ai
11 Sept 2026
Listed by providerModelQwen3 VL 235B A22B InstructQwen
OpenRouter lists Qwen3 VL 235B A22B Instruct at $0.21 in / $1.9 out per 1M tokens
openrouter
openrouter.ai

Full timeline →

Source documents
Source	Document	Type	Tier	Last observed	Snapshots
OpenRouter public model & pricing listing	openrouter.ai/api/v1/models	catalogue	T2· Quality secondary	5 h ago	1

Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.