Model Comparison

Gemini 2.5 Flash-Lite vs Qwen3 VL 8B ThinkingWhich is better in 2026?

Qwen3 VL 8B Thinking significantly outperforms across most benchmarks. Gemini 2.5 Flash-Lite is 3.8x cheaper per token.

Verdict: Gemini 2.5 Flash-Lite vs Qwen3 VL 8B Thinking — which is better?

Gemini 2.5 Flash-Lite (by Google) and Qwen3 VL 8B Thinking (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.

Gemini 2.5 Flash-Lite outperforms in 0 benchmarks, while Qwen3 VL 8B Thinking is better at 3 benchmarks (AIME 2025, GPQA, SimpleQA). Qwen3 VL 8B Thinking significantly outperforms across most benchmarks.

On price, Gemini 2.5 Flash-Lite is roughly 3.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 2.5 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 2.5 Flash-Lite if…

  • cost matters — it's about 3.8x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window

Choose Qwen3 VL 8B Thinking if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you want the most recent training data — it shipped Sep 2025

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 2.5 Flash-Lite outperforms in 0 benchmarks, while Qwen3 VL 8B Thinking is better at 3 benchmarks (AIME 2025, GPQA, SimpleQA).

Qwen3 VL 8B Thinking significantly outperforms across most benchmarks.

Fri Jun 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 2.5 Flash-Lite costs less

For input processing, Gemini 2.5 Flash-Lite ($0.10/1M tokens) is 1.8x cheaper than Qwen3 VL 8B Thinking ($0.18/1M tokens).

For output processing, Gemini 2.5 Flash-Lite ($0.40/1M tokens) is 5.2x cheaper than Qwen3 VL 8B Thinking ($2.09/1M tokens).

In conclusion, Qwen3 VL 8B Thinking is more expensive than Gemini 2.5 Flash-Lite.*

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

Lowest available price from all providers
Fri Jun 26 2026 • llm-stats.com
Google
Gemini 2.5 Flash-Lite
Input tokens$0.10
Output tokens$0.40
Best providerGoogle
Alibaba Cloud / Qwen Team
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

Gemini 2.5 Flash-Lite accepts 1,048,576 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 Gemini 2.5 Flash-Lite is limited to 65,536 tokens.

Google
Gemini 2.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Thinking
Input262,144 tokens
Output262,144 tokens
Fri Jun 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.5 Flash-Lite and Qwen3 VL 8B Thinking support multimodal inputs.

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

Gemini 2.5 Flash-Lite

Text
Images
Audio
Video

Qwen3 VL 8B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Flash-Lite is licensed under Creative Commons Attribution 4.0 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.

Gemini 2.5 Flash-Lite

Creative Commons Attribution 4.0 License

Open weights

Qwen3 VL 8B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Flash-Lite was released on 2025-06-17, while Qwen3 VL 8B Thinking was released on 2025-09-22.

Qwen3 VL 8B Thinking is 3 months newer than Gemini 2.5 Flash-Lite.

Gemini 2.5 Flash-Lite

Jun 17, 2025

1.0 years ago

Qwen3 VL 8B Thinking

Sep 22, 2025

9 months ago

3mo newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Flash-Lite has a documented knowledge cutoff of 2025-01-01, while Qwen3 VL 8B Thinking's cutoff date is not specified.

We can confirm Gemini 2.5 Flash-Lite's training data extends to 2025-01-01, but cannot make a direct comparison without Qwen3 VL 8B Thinking's cutoff date.

Gemini 2.5 Flash-Lite

Jan 2025

Qwen3 VL 8B Thinking

—

Provider Availability

Gemini 2.5 Flash-Lite is available from Google. Qwen3 VL 8B Thinking is available from DeepInfra.

Gemini 2.5 Flash-Lite

google logo
Google
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

Qwen3 VL 8B Thinking

deepinfra logo
Deepinfra
Input Price:Input: $0.18/1MOutput Price:Output: $2.09/1M
* 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)
Less expensive input tokens
Less expensive output tokens
Alibaba Cloud / Qwen Team

Qwen3 VL 8B Thinking

View details

Alibaba Cloud / Qwen Team

Higher AIME 2025 score (80.3% vs 49.8%)
Higher GPQA score (69.9% vs 64.6%)
Higher SimpleQA score (49.6% vs 10.7%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 2.5 Flash-Lite and Qwen3 VL 8B Thinking side-by-side, then vote on the output you prefer.

Gemini 2.5 Flash-Lite
✓ Preferred
Qwen3 VL 8B Thinking
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 2.5 Flash-Lite
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Thinking

FAQ

Common questions about Gemini 2.5 Flash-Lite vs Qwen3 VL 8B Thinking.

Which is better, Gemini 2.5 Flash-Lite or Qwen3 VL 8B Thinking?

Qwen3 VL 8B Thinking significantly outperforms across most benchmarks. Gemini 2.5 Flash-Lite is made by Google 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 Gemini 2.5 Flash-Lite compare to Qwen3 VL 8B Thinking in benchmarks?

Gemini 2.5 Flash-Lite scores FACTS Grounding: 84.1%, Global-MMLU-Lite: 81.1%, MMMU: 72.9%, GPQA: 64.6%, Vibe-Eval: 51.3%. Qwen3 VL 8B Thinking scores DocVQAtest: 95.3%, ScreenSpot: 93.6%, MMLU-Redux: 88.8%, MMBench-V1.1: 87.5%, InfoVQAtest: 86.0%.

Is Gemini 2.5 Flash-Lite cheaper than Qwen3 VL 8B Thinking?

Gemini 2.5 Flash-Lite is 1.8x cheaper for input tokens. Gemini 2.5 Flash-Lite costs $0.10/M input and $0.40/M output via google. Qwen3 VL 8B Thinking costs $0.18/M input and $2.09/M output via deepinfra.

What are the context window sizes for Gemini 2.5 Flash-Lite and Qwen3 VL 8B Thinking?

Gemini 2.5 Flash-Lite supports 1.0M 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 Gemini 2.5 Flash-Lite and Qwen3 VL 8B Thinking?

Key differences include context window (1.0M vs 262K), input pricing ($0.10 vs $0.18/M), licensing (Creative Commons Attribution 4.0 License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.5 Flash-Lite and Qwen3 VL 8B Thinking?

Gemini 2.5 Flash-Lite is developed by Google and Qwen3 VL 8B Thinking is developed by Alibaba Cloud / Qwen Team.

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