Atlas / Models / Qwen / Qwen: Qwen3 VL 8B Thinking

Qwen: Qwen3 VL 8B Thinking✓ Catalog verified

qwen/qwen3-vl-8b-thinking

Qwen3-VL-8B-Thinking is the reasoning-optimized variant of the Qwen3-VL-8B multimodal model, designed for advanced visual and textual reasoning across complex scenes, documents, and temporal sequences. It integrates enhanced multimodal alignment and long-context processing (native 256K, expandable to 1M tokens) for tasks such as scientific visual analysis, causal inference, and mathematical reasoning over image or video inputs. Compared to the Instruct edition, the Thinking version introduces deeper visual-language fusion and deliberate reasoning pathways that improve performance on long-chain logic tasks, STEM problem-solving, and multi-step video understanding. It achieves stronger temporal grounding via Interleaved-MRoPE and timestamp-aware embeddings, while maintaining robust OCR, multilingual comprehension, and text generation on par with large text-only LLMs.

Input price
$0.12 /1M
Output price
$1.36 /1M
Context
131K
Modalities
imagetext
Released
Oct 14, 2025
Tool calling
✓ Yes
Atlas signal
91/100
01

Overview

Qwen3-VL-8B-Thinking is the reasoning-optimized variant of the Qwen3-VL-8B multimodal model, designed for advanced visual and textual reasoning across complex scenes, documents, and temporal sequences. It integrates enhanced multimodal alignment and long-context processing (native 256K, expandable to 1M tokens) for tasks such as scientific visual analysis, causal inference, and mathematical reasoning over image or video inputs. Compared to the Instruct edition, the Thinking version introduces deeper visual-language fusion and deliberate reasoning pathways that improve performance on long-chain logic tasks, STEM problem-solving, and multi-step video understanding. It achieves stronger temporal grounding via Interleaved-MRoPE and timestamp-aware embeddings, while maintaining robust OCR, multilingual comprehension, and text generation on par with large text-only LLMs.

Access: available through the official Qwen API. Context window: 131K.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Aug 5, 2026
02

Specifications

API identifierqwen/qwen3-vl-8b-thinking
ProviderQwen
Model typeMultimodal LLM
Context window131K catalog
Input modalitiesimage · text
Output modalitiestext
ReleasedOct 14, 2025
TokenizerQwen3
ModeratedNo
Architecture modalitytext+image->text
Supported parameters
include_reasoningmax_tokenspresence_penaltyreasoningresponse_formatseedstructured_outputstemperaturetool_choicetoolstop_p
Source: provider documentation + catalog feedMethodology →

API defaults

Default parameters
{
  "top_p": 0.95,
  "temperature": 1
}
03

Pricing

Live pricing components for qwen/qwen3-vl-8b-thinking as published in the catalog.

$0.12
Input /1M
$1.36
Output /1M
Per request
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$1.17e-7$0.12 / 1MPer input token
Completion tokens$0.000001365$1.36 / 1MPer output token
Request feeN/AN/APer request
Image feeN/AN/APer image unit
Web search feeN/AN/APer search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$0.33Calculated from current list pricing in the ModelsAtlas catalog.
05

Capabilities

CapabilityStatusWhat it means
Visual Understanding✓ SupportedImage and document analysis support
Audio ProcessingNot advertisedSpeech and voice aligned flows
Tool Calling✓ SupportedSupports tools / function calling
Self-Hosting✓ SupportedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

Qwen: Qwen3 VL 8B Thinking
MMLU Signal (Reasoning)
97signal
Coding Signal (HumanEval proxy)
88signal
Math Signal (GSM8K proxy)
92signal
Science Signal (GPQA proxy)
87signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call Qwen: Qwen3 VL 8B Thinking through an OpenAI-compatible client.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="qwen/qwen3-vl-8b-thinking",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

print(response.choices[0].message.content)
08

Alternatives

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does Qwen: Qwen3 VL 8B Thinking cost?

$0.12 per 1M input tokens and $1.36 per 1M output tokens on the official Qwen API.

What is the context window of Qwen: Qwen3 VL 8B Thinking?

Qwen: Qwen3 VL 8B Thinking supports up to 131K tokens of context.

Does Qwen: Qwen3 VL 8B Thinking support tool / function calling?

Yes, Qwen: Qwen3 VL 8B Thinking supports tool / function calling — you can register tools and the model will emit structured tool calls.

How do I access Qwen: Qwen3 VL 8B Thinking?

Use the official Qwen API with the model id `qwen/qwen3-vl-8b-thinking`. See the Quick start section above for code examples.