Qwen3 VL 8B Instruct

by Qwenqwen/qwen3-vl-8b-instruct

  • Text
  • No route yet
  • Released

LLMCompare cannot run Qwen3 VL 8B Instruct yet.No route to this model is configured on this site yet. Its prices and parameters are listed below for reference.

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Qwen3 VL 8B Instruct at a glance

Context length
262,144 tokens
Maximum output
235,929 tokens
Accepts
Text, Image
Returns
Text
Features
JSON outputTool callingPrompt cachingImage input
Reasoning effort levels
Not supported
Released
14 Oct 2025
Knowledge cutoff
Not published

Model facts synced from the OpenRouter model list on 21 Oct 2026.

Qwen3 VL 8B Instruct pricing by route

A route is the service LLMCompare calls to reach the model. Qwen3 VL 8B Instruct has 1 route. Prices are in US dollars.

Prices of Qwen3 VL 8B Instruct on each route
RouteOn LLMCompareInputper 1M tokensOutputper 1M tokensCache readper 1M tokensPrice verified onSource
OpenRouterDefaultNot configured$0.25$0.75$0.12openrouter.ai/qwen/qwen3-vl-8b-instruct

The cost shown in an LLMCompare report is calculated from these prices as they were at the time of the run.

Cost calculator

Estimate what a batch of calls to Qwen3 VL 8B Instruct costs. The starting numbers are examples. Change them to match your task.

Part of the input tokens above, billed at the cache read price.

Cost per call
$0.00063
1 credits
Cost of 100 calls
$0.0625
100 credits

Calculated from the OpenRouter prices verified on 21 Oct 2026. Credits are the cost plus a 20% service fee, at $0.001 per credit, rounded up for each call, with a minimum of 1 per call. A real run is charged for the usage the provider reports.

Parameters you can set

These are the parameters LLMCompare can set when it calls the model through OpenRouter.

Parameters of Qwen3 VL 8B Instruct
ParameterTypeRange or optionsDefault
temperatureNumber0 to 2in steps of 0.1Provider default
top_pNumber0 to 1in steps of 0.05Provider default
max_tokensInteger1 to 235,929Provider default
seedInteger-2,147,483,648 to 4,294,967,295Provider default
response_formatOne oftextjson_objectProvider default

About Qwen3 VL 8B Instruct

Qwen3-VL-8B-Instruct is a multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understanding and reasoning across text, images, and video. It features improved multimodal fusion with Interleaved-MRoPE for long-horizon...

Description as published for this model. LLMCompare has not edited it.

Models to compare with Qwen3 VL 8B Instruct

Text models from the same provider and models at the nearest price. The order is not a ranking.

Models to compare with Qwen3 VL 8B Instruct
Add to comparisonModelContextMax outputInput priceper 1M tokensOutput priceper 1M tokensFeaturesReleasedOn LLMCompare
Qwen-PlusQwenqwen/qwen-plus1M32.8k$0.26$0.78JSONToolsCacheNo route yet
Qwen3.6 35B A3BQwenqwen/qwen3.6-35b-a3b262k236k$0.10$0.95JSONToolsCacheVisionNo route yet
Qwen3 Coder NextQwenqwen/qwen3-coder-next262k236k$0.12$0.80JSONToolsCacheNo route yet
Mercury 2Inceptioninception/mercury-2128k50k$0.25$0.75ReasoningJSONToolsCacheNo route yet
ReMM SLERP 13Bundi95undi95/remm-slerp-l2-13b6.1k5.5k$0.35$0.65JSONNo route yet
GLM 4.5 AirZ.aiz-ai/glm-4.5-air131k98.3k$0.13$0.85ToolsCacheNo route yet

Questions about Qwen3 VL 8B Instruct

How much does Qwen3 VL 8B Instruct cost?
On the OpenRouter route, Qwen3 VL 8B Instruct costs $0.25 per 1 million input tokens and $0.75 per 1 million output tokens, in US dollars. Input tokens that Qwen3 VL 8B Instruct reads from the prompt cache cost $0.12 per 1 million tokens. LLMCompare verified this price on 21 Oct 2026.
What is the context length of Qwen3 VL 8B Instruct?
Qwen3 VL 8B Instruct has a context length of 262,144 tokens and returns up to 235,929 output tokens in one call.
What inputs does Qwen3 VL 8B Instruct accept?
Qwen3 VL 8B Instruct accepts these inputs: Text, Image. Qwen3 VL 8B Instruct returns: Text.
Can I test Qwen3 VL 8B Instruct on my own data?
Not yet. LLMCompare lists the prices and parameters of Qwen3 VL 8B Instruct, but no route to Qwen3 VL 8B Instruct is configured on LLMCompare, so it cannot be selected for an evaluation.