GPT-5 High vs Qwen3 VL 30B A3B Instruct
GPT-5 High leads the LLM Stats Score 34.0 to 16.4. Qwen3 VL 30B A3B Instruct is 13.1x cheaper per token.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GPT-5 High leads the overall LLM Stats Score 34.0 to 16.4, ranking #100 overall.
In the 2 individual benchmarks reported for both models, GPT-5 High wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3 VL 30B A3B Instruct is roughly 13.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5 High 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 High
- overall performance matters — it scores 34.0 and ranks #100 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you process long inputs — it offers a 400,000 token context window
Choose Qwen3 VL 30B A3B Instruct
- cost matters — it's about 13.1x cheaper per token
- 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.
Individual benchmarks
2 reported for GPT-5 High · 50 for Qwen3 VL 30B A3B Instruct
GPT-5 High outperforms in 2 benchmarks (AIME 2025, GPQA), while Qwen3 VL 30B A3B Instruct is better at 0 benchmarks.
GPT-5 High 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 High ($1.25/1M tokens) is 8.3x more expensive than Qwen3 VL 30B A3B Instruct ($0.15/1M tokens).
For output processing, GPT-5 High ($10.00/1M tokens) is 16.7x more expensive than Qwen3 VL 30B A3B Instruct ($0.60/1M tokens).
In conclusion, GPT-5 High is more expensive than Qwen3 VL 30B A3B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5 High accepts 400,000 input tokens compared to Qwen3 VL 30B A3B Instruct's 262,144 tokens. Qwen3 VL 30B A3B Instruct can generate longer responses up to 262,144 tokens, while GPT-5 High is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-5 High and Qwen3 VL 30B A3B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5 High
Qwen3 VL 30B A3B Instruct
License
Usage and distribution terms
GPT-5 High is licensed under a proprietary license, while Qwen3 VL 30B A3B 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 High was released on 2025-08-07, while Qwen3 VL 30B A3B Instruct was released on 2025-09-22.
Qwen3 VL 30B A3B Instruct is 2 months newer than GPT-5 High.
Aug 7, 2025
1.1 years ago
Sep 22, 2025
1.0 years ago
1mo newerKnowledge Cutoff
When training data ends
GPT-5 High has a documented knowledge cutoff of 2024-09-30, while Qwen3 VL 30B A3B Instruct's cutoff date is not specified.
We can confirm GPT-5 High's training data extends to 2024-09-30, but cannot make a direct comparison without Qwen3 VL 30B A3B Instruct's cutoff date.
Sep 2024
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Provider Availability
GPT-5 High is available from OpenAI. Qwen3 VL 30B A3B Instruct is available from DeepInfra, Novita.
GPT-5 High
Qwen3 VL 30B A3B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5 High and Qwen3 VL 30B A3B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5 High vs Qwen3 VL 30B A3B Instruct.