Model Comparison

GPT-5 vs Qwen3 VL 8B Thinking

GPT-5 significantly outperforms across most benchmarks. Qwen3 VL 8B Thinking is 5.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

GPT-5 outperforms in 7 benchmarks (AIME 2025, CharXiv-R, ERQA, GPQA, MMLU, MMMU-Pro, VideoMMMU), while Qwen3 VL 8B Thinking is better at 0 benchmarks.

GPT-5 significantly outperforms across most benchmarks.

Fri May 22 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 VL 8B Thinking costs less

For input processing, GPT-5 ($1.25/1M tokens) is 6.9x more expensive than Qwen3 VL 8B Thinking ($0.18/1M tokens).

For output processing, GPT-5 ($10.00/1M tokens) is 4.8x more expensive than Qwen3 VL 8B Thinking ($2.09/1M tokens).

In conclusion, GPT-5 is more expensive than Qwen3 VL 8B Thinking.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers

Fri May 22 2026 • llm-stats.com

GPT-5

Input tokens$1.25

Output tokens$10.00

Best providerOpenAI

Qwen3 VL 8B Thinking

Input tokens$0.18

Output tokens$2.09

Best providerDeepinfra

Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5 accepts 400,000 input tokens compared to Qwen3 VL 8B Thinking's 262,144 tokens. Qwen3 VL 8B Thinking can generate longer responses up to 262,144 tokens, while GPT-5 is limited to 128,000 tokens.

GPT-5

Input400,000 tokens

Output128,000 tokens

Qwen3 VL 8B Thinking

Input262,144 tokens

Output262,144 tokens

Fri May 22 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-5 and Qwen3 VL 8B Thinking support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-5

Text

Images

Audio

Video

Qwen3 VL 8B Thinking

Text

Images

Audio

Video

License

Usage and distribution terms

GPT-5 is licensed under a proprietary license, while Qwen3 VL 8B Thinking uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-5

Proprietary

Closed source

Qwen3 VL 8B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5 was released on 2025-08-07, while Qwen3 VL 8B Thinking was released on 2025-09-22.

Qwen3 VL 8B Thinking is 2 months newer than GPT-5.

GPT-5

Aug 7, 2025

9 months ago

Qwen3 VL 8B Thinking

Sep 22, 2025

8 months ago

1mo newer

Knowledge Cutoff

When training data ends

GPT-5 has a documented knowledge cutoff of 2024-09-30, while Qwen3 VL 8B Thinking's cutoff date is not specified.

We can confirm GPT-5's training data extends to 2024-09-30, but cannot make a direct comparison without Qwen3 VL 8B Thinking's cutoff date.

GPT-5

Sep 2024

Qwen3 VL 8B Thinking

—

Provider Availability

GPT-5 is available from OpenAI. Qwen3 VL 8B Thinking is available from DeepInfra.

GPT-5

OpenAI

Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M

Qwen3 VL 8B Thinking

Deepinfra

Input Price:Input: $0.18/1MOutput Price:Output: $2.09/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

GPT-5

View details

OpenAI

Larger context window (400,000 tokens)

Higher AIME 2025 score (94.6% vs 80.3%)

Higher CharXiv-R score (81.1% vs 53.0%)

Higher ERQA score (65.7% vs 46.8%)

Higher GPQA score (85.7% vs 69.9%)

Higher MMLU score (92.5% vs 85.2%)

Higher MMMU-Pro score (78.4% vs 60.4%)

Higher VideoMMMU score (84.6% vs 72.8%)

Qwen3 VL 8B Thinking

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Has open weights

Detailed Comparison

AI Model Comparison Table
Feature	GPT-5	Qwen3 VL 8B Thinking

FAQ

Common questions about GPT-5 vs Qwen3 VL 8B Thinking.

Which is better, GPT-5 or Qwen3 VL 8B Thinking?

GPT-5 significantly outperforms across most benchmarks. GPT-5 is made by OpenAI and Qwen3 VL 8B Thinking is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-5 compare to Qwen3 VL 8B Thinking in benchmarks?

GPT-5 scores SWE-Lancer (IC-Diamond subset): 100.0%, COLLIE: 99.0%, Tau2 Telecom: 96.7%, OpenAI-MRCR: 2 needle 128k: 95.2%, AIME 2025: 94.6%. Qwen3 VL 8B Thinking scores DocVQAtest: 95.3%, ScreenSpot: 93.6%, MMLU-Redux: 88.8%, MMBench-V1.1: 87.5%, InfoVQAtest: 86.0%.

Is GPT-5 cheaper than Qwen3 VL 8B Thinking?

Qwen3 VL 8B Thinking is 6.9x cheaper for input tokens. GPT-5 costs $1.25/M input and $10.00/M output via openai. Qwen3 VL 8B Thinking costs $0.18/M input and $2.09/M output via deepinfra.

What are the context window sizes for GPT-5 and Qwen3 VL 8B Thinking?

GPT-5 supports 400K tokens and Qwen3 VL 8B Thinking supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-5 and Qwen3 VL 8B Thinking?

Key differences include context window (400K vs 262K), input pricing ($1.25 vs $0.18/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5 and Qwen3 VL 8B Thinking?

GPT-5 is developed by OpenAI and Qwen3 VL 8B Thinking is developed by Alibaba Cloud / Qwen Team.