GLM-5V-Turbo vs Qwen3 VL 235B A22B Instruct
GLM-5V-Turbo leads the LLM Stats Score 30.3 to 24.7. Qwen3 VL 235B A22B Instruct is 5.1x cheaper per token.
Zhipu AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GLM-5V-Turbo leads the overall LLM Stats Score 30.3 to 24.7, ranking #119 overall.
In the 1 individual benchmarks reported for both models, Qwen3 VL 235B A22B Instruct wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3 VL 235B A22B Instruct is roughly 5.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3 VL 235B A22B Instruct also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GLM-5V-Turbo
- overall performance matters — it scores 30.3 and ranks #119 on LLM Stats
- you want the most recent training data — it shipped Apr 2026
Choose Qwen3 VL 235B A22B Instruct
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 5.1x cheaper per token
- you process long inputs — it offers a 262,144 token context window
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
19 reported for GLM-5V-Turbo · 50 for Qwen3 VL 235B A22B Instruct
GLM-5V-Turbo outperforms in 0 benchmarks, while Qwen3 VL 235B A22B Instruct is better at 1 benchmark (OSWorld).
Qwen3 VL 235B A22B Instruct significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-5V-Turbo ($1.20/1M tokens) is 6.0x more expensive than Qwen3 VL 235B A22B Instruct ($0.20/1M tokens).
For output processing, GLM-5V-Turbo ($4.00/1M tokens) is 4.5x more expensive than Qwen3 VL 235B A22B Instruct ($0.88/1M tokens).
In conclusion, GLM-5V-Turbo is more expensive than Qwen3 VL 235B A22B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Qwen3 VL 235B A22B Instruct accepts 262,144 input tokens compared to GLM-5V-Turbo's 200,000 tokens. Qwen3 VL 235B A22B Instruct can generate longer responses up to 262,144 tokens, while GLM-5V-Turbo is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both GLM-5V-Turbo and Qwen3 VL 235B A22B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GLM-5V-Turbo
Qwen3 VL 235B A22B Instruct
License
Usage and distribution terms
GLM-5V-Turbo is licensed under a proprietary license, while Qwen3 VL 235B A22B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
GLM-5V-Turbo was released on 2026-04-02, while Qwen3 VL 235B A22B Instruct was released on 2025-09-22.
GLM-5V-Turbo is 6 months newer than Qwen3 VL 235B A22B Instruct.
Apr 2, 2026
5 months ago
6mo newerSep 22, 2025
12 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GLM-5V-Turbo is available from ZAI. Qwen3 VL 235B A22B Instruct is available from DeepInfra, Novita.
GLM-5V-Turbo
Qwen3 VL 235B A22B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-5V-Turbo and Qwen3 VL 235B A22B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5V-Turbo vs Qwen3 VL 235B A22B Instruct.