Qwen

Qwen3 VL 8B Instruct

qwen/qwen3-vl-8b-instruct
Model weightsReleased Oct 14, 2025Open Weights
ToolsVisionopen weights

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...

Cost / 1M tokens

Low usage

$0.25

input

$0.12

cached input

$0.75

output

Context Window

262K

Up to 236K max output

Modalities

image, text → text

Qwen3 tokenizer

Quickstart & API

qwen/qwen3-vl-8b-instruct
Open the model picker in ChatOSS Desktop (Code, Kanban, or Chat) and select or paste this model ID.

Best for & Strengths

Key Strengths

Open weightsTool & agent callingMultimodal visionLong context window

Recommended Workloads in ChatOSS

  • Coding agents
  • Screenshot-to-code workflows
  • Open-source AI workflows
Available in ChatOSS Code, Kanban Orchestrate, and Chat modes via Plus, Max, or BYOK.

Verified Evaluations

Benchmarks & Frontier Comparison

How Qwen3 VL 8B Instruct compares against leading open-weight and proprietary frontier models across independent agentic coding and reasoning suites.

View full Top 40 Leaderboard →
Benchmark (Metric)Qwen3 VL 8B InstructDeepSeek V4.1 FlashGLM 5.3Kimi K3.1 ProClaude Opus 5.5
Agentic & Software Engineering
ChatOSS Agentic Coding Index (%)—63.2%58.3%65%74.1%
SWE-Bench Verified (%)—91.5%95.4%94.8%97%
DeepSWE v1.1 (Pass@1 %)—77%69%73.5%74.2%
Vibe Code Bench v1.1 (%)—87.7%78.1%88.4%90.3%
Terminal-Bench 4.0 (%)—42.3%42%46.2%65.2%
Code Migration (%)—45.6%44.2%52%66.7%
Intelligence & Token Economics
Artificial Analysis Intelligence Index (0–100)7.339.544.855.157.6
Input Price (/ 1M tokens)$0.25$0.15$1.40$2.00$4.00
Output Price (/ 1M tokens)$0.75$0.60$4.40$10.00$20.00

Artificial Analysis Intelligence Index

Artificial Analysis

7.3

Active Provider Endpoints (1)

Upstream inference providers serving Qwen3 VL 8B Instruct, with per-provider pricing, context limits, quantization, and 24-hour uptime.

ProviderInput / 1MOutput / 1MCache Read / 1MContextMax OutputQuantizationUptime (24h)
Parasailcache
parasail/bf16
$0.25$0.75$0.12262K236Kbf1699.9%

Supported API Parameters

Parameters accepted by this model when called through ChatOSS or OpenRouter.

frequency_penaltylogit_biaslogprobsmax_tokenspresence_penaltyrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p

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