EBEasy BenchmarksLLM model index
Workspace
Overview
Benchmarks
Benchmarks list
Overall Index
Coding
Math
MMLU-Pro
Speed
Value
Models
All models
GPT-5.5 (xhigh)
GPT-5.5 (high)
Claude Opus 4.7 (Adaptive Reasoning, Max Effort)
Gemini 3.1 Pro Preview
GPT-5.4 (xhigh)
Artificial Analysis data
Back

Alibaba

Qwen3 VL 235B A22B Instruct

Qwen3 VL 235B A22B Instruct is a Alibaba language-model profile in the Easy Benchmarks snapshot. Use this page to compare its measured Artificial Analysis scores, output speed, time to first token, pricing, and relative ranking against other models in the local catalog.

Qwen model releases

Operational Metrics

Output Speed49 tok/s
First Token1.12s
Blended Price$1.23/M

Model Metadata

Queryable facts extracted from the upstream model payload.

ReleaseSep 23, 2025
Context Windown/a
Modalitiesn/a
API fields: release_date

Strength: MMLU-Pro

Rank #71 across 345 models.

82.3%

Watch Area: Speed

Rank #230 across 293 models.

49 tok/s

Strength Profile

Percentile score by analysis domain.

* Cost is inverted: lower input, output, and blended prices rank higher.

Benchmark Percentiles

Higher bars mean stronger relative placement.

All Benchmarks

MetricDomainValueRank
Artificial Analysis Intelligence Indexoverall20.8#230
Artificial Analysis Coding Indexcoding16.5#226
Artificial Analysis Math Indexmath70.7#95
MMLU-Proreasoning82.3%#71
GPQA
reasoning
71.2%
#192
Humanity's Last Examreasoning6.3%#231
LiveCodeBenchcoding59.4%#117
SciCodecoding, reasoning35.9%#176
Output Speedspeed49 tok/s#230
Time to First Tokenspeed1.12s#157
Blended Pricecost$1.23/M#193
Input Pricecost$0.700/M#203
Output Pricecost$2.80/M#190
Value Indexcost, overall17.0#202