Model Comparison

Qwen3-235B-A22B-Thinking-2507 vs Gemini 3.1 Flash ImageWhich is better in 2026?

Comparing Qwen3-235B-A22B-Thinking-2507 and Gemini 3.1 Flash Image across benchmarks, pricing, and capabilities.

Verdict: Qwen3-235B-A22B-Thinking-2507 vs Gemini 3.1 Flash Image — which is better?

Qwen3-235B-A22B-Thinking-2507 (by Alibaba Cloud / Qwen Team) and Gemini 3.1 Flash Image (by Google) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

On price, Qwen3-235B-A22B-Thinking-2507 is roughly 8.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3-235B-A22B-Thinking-2507 also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.

Choose Qwen3-235B-A22B-Thinking-2507 if…

  • cost matters — it's about 8.1x cheaper per token
  • you process long inputs — it offers a 262,144 token context window
  • you need open weights you can self-host or fine-tune

Choose Gemini 3.1 Flash Image if…

  • you want the most recent training data — it shipped Feb 2026
AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
Google
Gemini 3.1 Flash Image

FAQ

Common questions about Qwen3-235B-A22B-Thinking-2507 vs Gemini 3.1 Flash Image.

Which is better, Qwen3-235B-A22B-Thinking-2507 or Gemini 3.1 Flash Image?

Qwen3-235B-A22B-Thinking-2507 (Alibaba Cloud / Qwen Team) and Gemini 3.1 Flash Image (Google) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Qwen3-235B-A22B-Thinking-2507 compare to Gemini 3.1 Flash Image in benchmarks?

Qwen3-235B-A22B-Thinking-2507 scores MMLU-Redux: 93.8%, AIME 2025: 92.3%, WritingBench: 88.3%, IFEval: 87.8%, Creative Writing v3: 86.1%.

Is Qwen3-235B-A22B-Thinking-2507 cheaper than Gemini 3.1 Flash Image?

Qwen3-235B-A22B-Thinking-2507 is 1.7x cheaper for input tokens. Qwen3-235B-A22B-Thinking-2507 costs $0.30/M input and $3.00/M output via fireworks. Gemini 3.1 Flash Image costs $0.50/M input and $30.00/M output via google.

What are the context window sizes for Qwen3-235B-A22B-Thinking-2507 and Gemini 3.1 Flash Image?

Qwen3-235B-A22B-Thinking-2507 supports 262K tokens and Gemini 3.1 Flash Image supports 66K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Qwen3-235B-A22B-Thinking-2507 and Gemini 3.1 Flash Image?

Key differences include context window (262K vs 66K), input pricing ($0.30 vs $0.50/M), multimodal support (no vs yes), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Qwen3-235B-A22B-Thinking-2507 and Gemini 3.1 Flash Image?

Qwen3-235B-A22B-Thinking-2507 is developed by Alibaba Cloud / Qwen Team and Gemini 3.1 Flash Image is developed by Google.

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