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GPT Image 2 vs Qwen3.5-9B

Comparing GPT Image 2 and Qwen3.5-9B across benchmarks, pricing, and capabilities.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT Image 2 and Qwen3.5-9B trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, Qwen3.5-9B is roughly 100.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT Image 2

  • you want the most recent training data — it shipped Apr 2026

Choose Qwen3.5-9B

  • cost matters — it's about 100.0x cheaper per token
  • you need open weights you can self-host or fine-tune

FAQ

Common questions about GPT Image 2 vs Qwen3.5-9B.

Which is better, GPT Image 2 or Qwen3.5-9B?

GPT Image 2 (OpenAI) and Qwen3.5-9B (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GPT Image 2 compare to Qwen3.5-9B in benchmarks?

Qwen3.5-9B scores IFEval: 91.5%, MMLU-Redux: 91.1%, C-Eval: 88.2%, MAXIFE: 83.4%, Global PIQA: 83.2%.

Is GPT Image 2 cheaper than Qwen3.5-9B?

Qwen3.5-9B is 50.0x cheaper for input tokens. GPT Image 2 costs $5.00/M input and $30.00/M output via openai. Qwen3.5-9B costs $0.10/M input and $0.15/M output via deepinfra.

What are the context window sizes for GPT Image 2 and Qwen3.5-9B?

GPT Image 2 supports an unknown number of tokens and Qwen3.5-9B 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 Image 2 and Qwen3.5-9B?

Key differences include input pricing ($5.00 vs $0.10/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT Image 2 and Qwen3.5-9B?

GPT Image 2 is developed by OpenAI and Qwen3.5-9B is developed by Alibaba Cloud / Qwen Team.

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