GPT-4.5 vs Qwen3 VL 235B A22B Instruct
Qwen3 VL 235B A22B Instruct leads the LLM Stats Score 24.3 to 19.7. Qwen3 VL 235B A22B Instruct is 253.4x cheaper per token.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3 VL 235B A22B Instruct leads the overall LLM Stats Score 24.3 to 19.7, ranking #186 overall.
In the 5 individual benchmarks reported for both models, GPT-4.5 wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3 VL 235B A22B Instruct is roughly 253.4x 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 GPT-4.5
- you value its reported benchmark strengths — it wins 3 of 5 exact shared results
Choose Qwen3 VL 235B A22B Instruct
- overall performance matters — it scores 24.3 and ranks #186 on LLM Stats
- cost matters — it's about 253.4x cheaper per token
- you process long inputs — it offers a 262,144 token context window
- you want the most recent training data — it shipped Sep 2025
- 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
26 reported for GPT-4.5 · 50 for Qwen3 VL 235B A22B Instruct
GPT-4.5 outperforms in 3 benchmarks (IFEval, MMLU, SimpleQA), while Qwen3 VL 235B A22B Instruct is better at 2 benchmarks (CharXiv-R, Multi-IF).
GPT-4.5 has a slight edge in benchmark performance.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4.5 ($75.00/1M tokens) is 375.0x more expensive than Qwen3 VL 235B A22B Instruct ($0.20/1M tokens).
For output processing, GPT-4.5 ($150.00/1M tokens) is 170.5x more expensive than Qwen3 VL 235B A22B Instruct ($0.88/1M tokens).
In conclusion, GPT-4.5 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 GPT-4.5's 128,000 tokens. Qwen3 VL 235B A22B Instruct can generate longer responses up to 262,144 tokens, while GPT-4.5 is limited to 4,096 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-4.5 and Qwen3 VL 235B A22B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4.5
Qwen3 VL 235B A22B Instruct
License
Usage and distribution terms
GPT-4.5 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
GPT-4.5 was released on 2025-02-27, while Qwen3 VL 235B A22B Instruct was released on 2025-09-22.
Qwen3 VL 235B A22B Instruct is 7 months newer than GPT-4.5.
Feb 27, 2025
1.7 years ago
Sep 22, 2025
1.1 years ago
6mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT-4.5 is available from OpenAI. Qwen3 VL 235B A22B Instruct is available from DeepInfra, Novita.
GPT-4.5
Qwen3 VL 235B A22B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4.5 and Qwen3 VL 235B A22B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4.5 vs Qwen3 VL 235B A22B Instruct.