llmboard.aiAI model intelligence
Home

Model Rankings

OverallOpen ModelsAgentCodingReasoningMathKnowledgeInstruction FollowingTextVision
Image GenerationImage Editing
Video GenerationImage to VideoVideo Editing
Text to SpeechSpeech to Text
Embeddings

Efficiency

Chat Token PricingImage PricingVideo PricingAudio Pricing
Chat Speed & LatencyProvider Reliability

Benchmarks

GPQAMMLU-ProAIME 2025SWE-Bench VerifiedMMLUHumanity's Last ExamLiveCodeBenchMATHHumanEvalMMMU-Pro
All Benchmarks

Tools

Model Directory

Scoring & Data

Scoring & Data
1367 models808 benchmarks

Leaderboard Center

Overall RankingCodingCore BenchmarksPrice & ValueRuntime Performance

Modalities

All ModelsImage GenerationImage EditingVideo GenerationImage-to-VideoVideo EditingText-to-SpeechSpeech-to-TextEmbeddings

Data & Methods

Scoring MethodAll Benchmarks
llmboard.aiCopyright 2026 llmboard.ai

Alibaba Cloud / Qwen Team model product

Qwen3 VL 4B

Qwen3 VL 4B is a multimodal language model from Alibaba Cloud / Qwen Team that works with text, images, and video.

Updated Oct 23, 2026. Default version: Qwen3 VL 4B Instruct

LLMBoard Score16.9Qwen3 VL 4B Instruct
Coverage80%45 benchmark families
Context window262.1KTokens
Official input priceN/AOfficial price unavailable

On this page

  • Capability
  • Benchmarks
  • Arena
  • Pricing
  • Runtime
  • Specification
  • Versions
  • Similar models
  • About
  • FAQ

Qwen3 VL 4B Capability Profile

This profile uses the model's current scored version. Arena ratings and prices are shown separately.

Qwen3 VL 4B Instruct LLMBoard score breakdown

Qwen3 VL 4B Benchmark Results

Benchmark scores for Qwen3 VL 4B Instruct.

30 of 52 rows
Columns

Show columns

Sort by
Benchmark
Score
Rank
Participants
Percentile
Evidence
Evaluated
BenchmarkODinWScore48.20%Rank05Participants16Percentile73.33%EvidenceCEvaluatedOct 22, 2026
BenchmarkMLVU-MScore75.30%Rank06Participants8Percentile28.57%EvidenceCEvaluatedOct 22, 2026
BenchmarkDocVQAtestScore95.30%Rank07Participants11Percentile40.00%EvidenceCEvaluatedOct 22, 2026
BenchmarkMMMU (val)Score67.40%Rank08Participants13Percentile41.67%EvidenceCEvaluatedOct 22, 2026
BenchmarkOCRBench-V2 (en)Score63.70%Rank08Participants15Percentile50.00%EvidenceCEvaluatedOct 22, 2026
BenchmarkScreenSpotScore94.00%Rank08Participants16Percentile53.33%EvidenceCEvaluatedOct 22, 2026
BenchmarkCharadesSTAScore55.50%Rank10Participants12Percentile18.18%EvidenceCEvaluatedOct 22, 2026
BenchmarkOCRBench-V2 (zh)Score57.60%Rank10Participants11Percentile10.00%EvidenceCEvaluatedOct 22, 2026
BenchmarkMM-MT-BenchScore7.50 pointsRank11Participants17Percentile37.50%EvidenceCEvaluatedOct 22, 2026
BenchmarkMuirBenchScore63.80%Rank11Participants14Percentile23.08%EvidenceCEvaluatedOct 22, 2026
BenchmarkOCRBenchScore88.10%Rank11Participants24Percentile56.52%EvidenceCEvaluatedOct 22, 2026
BenchmarkBLINKScore65.80%Rank12Participants17Percentile31.25%EvidenceCEvaluatedOct 22, 2026
BenchmarkInfoVQAtestScore80.30%Rank12Participants12Percentile0.00%EvidenceCEvaluatedOct 22, 2026
BenchmarkMMBench-V1.1Score85.10%Rank13Participants20Percentile36.84%EvidenceCEvaluatedOct 22, 2026
BenchmarkWritingBenchScore82.50%Rank14Participants16Percentile13.33%EvidenceCEvaluatedOct 22, 2026
BenchmarkLiveBench 20241125Score60.90%Rank15Participants15Percentile0.00%EvidenceCEvaluatedOct 22, 2026
BenchmarkCharXiv-DScore76.20%Rank16Participants18Percentile11.76%EvidenceCEvaluatedOct 22, 2026
BenchmarkSimpleQAScore48.00%Rank16Participants47Percentile67.39%EvidenceCEvaluatedOct 22, 2026
BenchmarkCC-OCRScore76.20%Rank17Participants18Percentile5.88%EvidenceCEvaluatedOct 22, 2026
BenchmarkHallusion BenchScore57.60%Rank17Participants20Percentile15.79%EvidenceCEvaluatedOct 22, 2026
BenchmarkMVBenchScore68.90%Rank17Participants18Percentile5.88%EvidenceCEvaluatedOct 22, 2026
BenchmarkScreenSpot ProScore59.50%Rank17Participants26Percentile36.00%EvidenceCEvaluatedOct 22, 2026
BenchmarkBFCL-v3Score63.30%Rank19Participants20Percentile5.26%EvidenceCEvaluatedOct 22, 2026
BenchmarkMMStarScore69.80%Rank19Participants27Percentile30.77%EvidenceCEvaluatedOct 22, 2026
BenchmarkOSWorldScore26.20%Rank19Participants21Percentile10.00%EvidenceCEvaluatedOct 22, 2026
BenchmarkMathVista-MiniScore73.70%Rank20Participants26Percentile24.00%EvidenceCEvaluatedOct 22, 2026
BenchmarkPolyMATHScore28.80%Rank21Participants23Percentile9.09%EvidenceCEvaluatedOct 22, 2026
BenchmarkLVBenchScore56.20%Rank24Participants31Percentile23.33%EvidenceCEvaluatedOct 22, 2026
BenchmarkIncludeScore61.40%Rank25Participants31Percentile20.00%EvidenceCEvaluatedOct 22, 2026
BenchmarkRealWorldQAScore70.90%Rank26Participants32Percentile19.35%EvidenceCEvaluatedOct 22, 2026

Qwen3 VL 4B Arena Results

Preference and agent-evaluation results for the default version.

No Arena results

The default version does not have a matching Arena result yet.

Qwen3 VL 4B Pricing

Official vendor API pricing appears first, followed by individual provider offers.

Official API
N/A
Official provider
N/A
Lowest third-party
N/A
Tracked offerings
0
No provider prices

The default version has no current input or output token prices.

Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.

Qwen3 VL 4B Runtime Performance

Provider-specific output speed and catalog latency for Qwen3 VL 4B Instruct. Runtime does not affect the capability score.

No runtime data

No provider-specific speed or latency record is linked to the default version yet.

Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.

Qwen3 VL 4B Specifications

Technical details for the model's default version.

Version
Qwen3 VL 4B Instruct
Released
Sep 22, 2025
Knowledge cutoff
Unknown
Parameters
4B
Context window
262.1K
Max output
262.1K
Inputs
image, text
Outputs
text
Open weights
Yes
License
Apache 2.0

Qwen3 VL 4B Versions

Available versions of this model. The score column identifies the version used in the overall ranking.

1 row
Columns

Show columns

Sort by
Version
Released
LLMBoard
Parameters
Context
Max output
Open weights
License
VersionQwen3 VL 4B InstructReleasedSep 22, 2025LLMBoard16.94Parameters4BContext262.1KMax output262.1KOpen weightsYesLicenseApache 2.0

Models similar to Qwen3 VL 4B

Recommendations prioritize the same model type and family, then the closest LLMBoard score.

#257-1.09
AC

Qwen2.5 VL 32B

Alibaba Cloud / Qwen Team

15.85 LLMBoard

Details
#250+1.51
AC

Qwen2.5 72B

Alibaba Cloud / Qwen Team

18.45 LLMBoard

Details
#243+3.65
AC

Qwen2.5 VL 72B

Alibaba Cloud / Qwen Team

20.59 LLMBoard

Details
#242+3.85
AC

Qwen3 VL 4B Thinking

Alibaba Cloud / Qwen Team

20.79 LLMBoard

Details
#266-4.13
AC

QvQ 72B

Alibaba Cloud / Qwen Team

12.81 LLMBoard

Details
#268-4.39
AC

Qwen2.5 32B

Alibaba Cloud / Qwen Team

12.55 LLMBoard

Details

What is Qwen3 VL 4B?

Key information about Qwen3 VL 4B and its available data.

Qwen3 VL 4B is an LLM designed for multimodal processing across text, images, and video. It supports visual understanding, spatial reasoning, long-video comprehension, multilingual OCR, and tool-based interaction.

Data as of 2026-10-22.

FAQ

Common questions about Qwen3 VL 4B.

When was Qwen3 VL 4B released?

Qwen3 VL 4B's default version was released on Sep 22, 2025.

How much does Qwen3 VL 4B cost?

No official standard PAYG price is currently available for Qwen3 VL 4B.

Who created Qwen3 VL 4B?

Qwen3 VL 4B was created by Alibaba Cloud / Qwen Team.

What is the context window for Qwen3 VL 4B?

The default version has a 262.1K token context window.

Is Qwen3 VL 4B open weight?

Yes. The default version is marked as open weight under Apache 2.0.

How many API providers offer Qwen3 VL 4B?

No provider offering is currently linked to the default version.

Browse runtime rankings