GPT-5.4 nano vs Qwen3 VL 235B A22B Instruct
GPT-5.4 nano and Qwen3 VL 235B A22B Instruct are closely matched at 26.6 and 24.7 on the LLM Stats Score. Qwen3 VL 235B A22B Instruct is 1.3x cheaper per token.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GPT-5.4 nano and Qwen3 VL 235B A22B Instruct are closely matched on the overall LLM Stats Score at 26.6 and 24.7.
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 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.4 nano also accepts a larger context window (400,000 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-5.4 nano
- your work emphasizes reasoning — it leads those capability indexes
- you process long inputs — it offers a 400,000 token context window
- you want the most recent training data — it shipped Mar 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 1.3x cheaper per token
- 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
15 reported for GPT-5.4 nano · 50 for Qwen3 VL 235B A22B Instruct
GPT-5.4 nano outperforms in 0 benchmarks, while Qwen3 VL 235B A22B Instruct is better at 1 benchmark (MMMU-Pro).
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, GPT-5.4 nano ($0.20/1M tokens) costs the same as Qwen3 VL 235B A22B Instruct ($0.20/1M tokens).
For output processing, GPT-5.4 nano ($1.25/1M tokens) is 1.4x more expensive than Qwen3 VL 235B A22B Instruct ($0.88/1M tokens).
In conclusion, GPT-5.4 nano 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
GPT-5.4 nano accepts 400,000 input tokens compared to Qwen3 VL 235B A22B Instruct's 262,144 tokens. Qwen3 VL 235B A22B Instruct can generate longer responses up to 262,144 tokens, while GPT-5.4 nano is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-5.4 nano and Qwen3 VL 235B A22B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5.4 nano
Qwen3 VL 235B A22B Instruct
License
Usage and distribution terms
GPT-5.4 nano 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-5.4 nano was released on 2026-03-17, while Qwen3 VL 235B A22B Instruct was released on 2025-09-22.
GPT-5.4 nano is 6 months newer than Qwen3 VL 235B A22B Instruct.
Mar 17, 2026
6 months ago
5mo newerSep 22, 2025
12 months ago
Knowledge Cutoff
When training data ends
GPT-5.4 nano has a documented knowledge cutoff of 2025-08-31, while Qwen3 VL 235B A22B Instruct's cutoff date is not specified.
We can confirm GPT-5.4 nano's training data extends to 2025-08-31, but cannot make a direct comparison without Qwen3 VL 235B A22B Instruct's cutoff date.
Aug 2025
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Provider Availability
GPT-5.4 nano is available from OpenAI. Qwen3 VL 235B A22B Instruct is available from DeepInfra, Novita.
GPT-5.4 nano
Qwen3 VL 235B A22B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5.4 nano and Qwen3 VL 235B A22B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.4 nano vs Qwen3 VL 235B A22B Instruct.