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Favicon for qwen

Qwen: Qwen3 VL 8B Instruct

qwen/qwen3-vl-8b-instruct

Model weights
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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 temporal reasoning, DeepStack for fine-grained visual-text alignment, and text-timestamp alignment for precise event localization.

The model supports a native 256K-token context window, extensible to 1M tokens, and handles both static and dynamic media inputs for tasks like document parsing, visual question answering, spatial reasoning, and GUI control. It achieves text understanding comparable to leading LLMs while expanding OCR coverage to 32 languages and enhancing robustness under varied visual conditions.

Modalities
In / Out Price
$0.25 / $0.75per 1M
Context
262K
Released
Oct 14, 2025
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ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQExplore

Providers

This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for Qwen: Qwen3 VL 8B Instruct (Artificial Analysis)
SourceBenchmarkScore
Artificial AnalysisQwen3 VL 8B Instruct Intelligence Index7.3
Artificial AnalysisQwen3 VL 8B Instruct Math Index27.3
Artificial AnalysisQwen3 VL 8B Instruct GPQA Diamond42.7%
Artificial AnalysisQwen3 VL 8B Instruct HLE2.7%
Artificial AnalysisQwen3 VL 8B Instruct IFBench32.3%
Artificial AnalysisQwen3 VL 8B Instruct τ²-Bench Telecom29.2%
Artificial AnalysisQwen3 VL 8B Instruct AA-LCR16.7%
Artificial AnalysisQwen3 VL 8B Instruct CritPt0.0%
Artificial AnalysisQwen3 VL 8B Instruct LiveCodeBench33.2%
Artificial AnalysisQwen3 VL 8B Instruct Terminal-Bench Hard2.3%
Artificial AnalysisQwen3 VL 8B Instruct MMLU-Pro68.6%
Artificial AnalysisQwen3 VL 8B Instruct AA-Omniscience Accuracy20.5%
Artificial AnalysisQwen3 VL 8B Instruct AA-Omniscience Non-Hallucination Rate9.0%
Artificial AnalysisQwen3 VL 8B Instruct AIME 202527.3%

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

API

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

Not currently available through EU in-region routing. In-region routing docs

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99.91%
Throughput
45tok/s

P50, best across providers

Latency
0.68s

P50, best provider

AutoExacto benchmarks
GPQA DiamondTAU-BenchPrimeIntellect53.9%32.7%
Uptime (3d)The model was reachable. Request routed to a provider.
100.00%
Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
99.87%

Availability over the last 3 days

Last 72 hours
Availability 99.87%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.86%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

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Frequently asked questions

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 temporal reasoning, DeepStack for fine-grained visual-text alignment, and text-timestamp alignment for precise event localization.

Qwen3 VL 8B Instruct costs $0.25/M input tokens and $0.75/M output tokens, with separate rates for Cache Read at $0.12/M tokens.

Qwen3 VL 8B Instruct has a 262,144 token context window. It supports up to 262,144 completion tokens.

Yes. Qwen3 VL 8B Instruct accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

Qwen3 VL 8B Instruct accepts images and text as input and returns text.

Qwen3.8 Max Prime, Qwen3.8 Omni Flash, Qwen3.8 Max (0902) and 38 more are other text models from Qwen.

Qwen3 VL 8B Instruct was released on October 14, 2025.