Model Comparison

Gemini 3.5 Flash-Lite vs Qwen3-235B-A22B-Thinking-2507Which is better in 2026?

Comparing Gemini 3.5 Flash-Lite and Qwen3-235B-A22B-Thinking-2507 across benchmarks, pricing, and capabilities.

Verdict: Gemini 3.5 Flash-Lite vs Qwen3-235B-A22B-Thinking-2507 — which is better?

Gemini 3.5 Flash-Lite (by Google) and Qwen3-235B-A22B-Thinking-2507 (by Alibaba Cloud / Qwen Team) 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, Gemini 3.5 Flash-Lite is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.5 Flash-Lite also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 3.5 Flash-Lite if…

  • cost matters — it's about 1.1x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Jul 2026

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

  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.5 Flash-Lite and Qwen3-235B-A22B-Thinking-2507don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 3.5 Flash-Lite costs less

For input processing, Gemini 3.5 Flash-Lite ($0.30/1M tokens) costs the same as Qwen3-235B-A22B-Thinking-2507 ($0.30/1M tokens).

For output processing, Gemini 3.5 Flash-Lite ($2.50/1M tokens) is 1.2x cheaper than Qwen3-235B-A22B-Thinking-2507 ($3.00/1M tokens).

In conclusion, Qwen3-235B-A22B-Thinking-2507 is more expensive than Gemini 3.5 Flash-Lite.*

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

Lowest available price from all providers
Tue Jul 21 2026 • llm-stats.com
Google
Gemini 3.5 Flash-Lite
Input tokens$0.30
Output tokens$2.50
Best providerGoogle
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
Input tokens$0.30
Output tokens$3.00
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3.5 Flash-Lite accepts 1,048,576 input tokens compared to Qwen3-235B-A22B-Thinking-2507's 262,144 tokens. Qwen3-235B-A22B-Thinking-2507 can generate longer responses up to 131,072 tokens, while Gemini 3.5 Flash-Lite is limited to 65,536 tokens.

Google
Gemini 3.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
Input262,144 tokens
Output131,072 tokens
Tue Jul 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.5 Flash-Lite supports multimodal inputs, whereas Qwen3-235B-A22B-Thinking-2507 does not.

Gemini 3.5 Flash-Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.5 Flash-Lite

Text
Images
Audio
Video

Qwen3-235B-A22B-Thinking-2507

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.5 Flash-Lite is licensed under a proprietary license, while Qwen3-235B-A22B-Thinking-2507 uses Apache 2.0.

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

Gemini 3.5 Flash-Lite

Proprietary

Closed source

Qwen3-235B-A22B-Thinking-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3.5 Flash-Lite was released on 2026-07-21, while Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.

Gemini 3.5 Flash-Lite is 12 months newer than Qwen3-235B-A22B-Thinking-2507.

Gemini 3.5 Flash-Lite

Jul 21, 2026

0 days ago

12mo newer
Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

12 months ago

Knowledge Cutoff

When training data ends

Gemini 3.5 Flash-Lite has a documented knowledge cutoff of 2026-03-31, while Qwen3-235B-A22B-Thinking-2507's cutoff date is not specified.

We can confirm Gemini 3.5 Flash-Lite's training data extends to 2026-03-31, but cannot make a direct comparison without Qwen3-235B-A22B-Thinking-2507's cutoff date.

Gemini 3.5 Flash-Lite

Mar 2026

Qwen3-235B-A22B-Thinking-2507

—

Provider Availability

Gemini 3.5 Flash-Lite is available from Google. Qwen3-235B-A22B-Thinking-2507 is available from Fireworks, Novita.

Gemini 3.5 Flash-Lite

google logo
Google
Input Price:Input: $0.30/1MOutput Price:Output: $2.50/1M

Qwen3-235B-A22B-Thinking-2507

fireworks logo
Fireworks
Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Less expensive output tokens
Alibaba Cloud / Qwen Team
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 3.5 Flash-Lite and Qwen3-235B-A22B-Thinking-2507 side-by-side, then vote on the output you prefer.

Gemini 3.5 Flash-Lite
✓ Preferred
Qwen3-235B-A22B-Thinking-2507
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 3.5 Flash-Lite
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507

FAQ

Common questions about Gemini 3.5 Flash-Lite vs Qwen3-235B-A22B-Thinking-2507.

Which is better, Gemini 3.5 Flash-Lite or Qwen3-235B-A22B-Thinking-2507?

Gemini 3.5 Flash-Lite (Google) and Qwen3-235B-A22B-Thinking-2507 (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 Gemini 3.5 Flash-Lite compare to Qwen3-235B-A22B-Thinking-2507 in benchmarks?

Gemini 3.5 Flash-Lite scores CharXiv-R: 76.5%, OSWorld-Verified: 74.0%, SWE-Bench Pro: 54.2%, Terminal-Bench 2.1: 54.0%, MLE-Bench: 39.2%. 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 Gemini 3.5 Flash-Lite cheaper than Qwen3-235B-A22B-Thinking-2507?

Both models cost $0.30 per million input tokens.

What are the context window sizes for Gemini 3.5 Flash-Lite and Qwen3-235B-A22B-Thinking-2507?

Gemini 3.5 Flash-Lite supports 1.0M tokens and Qwen3-235B-A22B-Thinking-2507 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 Gemini 3.5 Flash-Lite and Qwen3-235B-A22B-Thinking-2507?

Key differences include context window (1.0M vs 262K), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.5 Flash-Lite and Qwen3-235B-A22B-Thinking-2507?

Gemini 3.5 Flash-Lite is developed by Google and Qwen3-235B-A22B-Thinking-2507 is developed by Alibaba Cloud / Qwen Team.

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