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Gemini 2.0 Flash vs Qwen3 VL 8B Thinking

Gemini 2.0 Flash and Qwen3 VL 8B Thinking are closely matched at 16.5 and 16.2 on the LLM Stats Score. Gemini 2.0 Flash is 3.8x cheaper per token.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Gemini 2.0 Flash and Qwen3 VL 8B Thinking are closely matched on the overall LLM Stats Score at 16.5 and 16.2.

In the 2 individual benchmarks reported for both models, Qwen3 VL 8B Thinking wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, Gemini 2.0 Flash is roughly 3.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 2.0 Flash also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose Gemini 2.0 Flash

  • 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

  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Sep 2025
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 2.0 Flash
Google
Qwen3 VL 8B Thinking
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
16.5
#237
16.2
#240
Reasoning
15.8
#236
17.1
#227
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
$0.10 / M
$0.18 / M
Output price
$0.40 / M
$2.09 / M
Context window
1,048,576
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Gemini 2.0 Flash
Qwen3 VL 8B Thinking
Math
23.4#135
18.8#182
Vision
7.9#148
10.7#126
Multimodal
13.5#108
13.3#110
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Gemini 2.0 Flash · 50 for Qwen3 VL 8B Thinking

2 shared

Gemini 2.0 Flash outperforms in 0 benchmarks, while Qwen3 VL 8B Thinking is better at 2 benchmarks (GPQA, MMLU-Pro).

Qwen3 VL 8B Thinking significantly outperforms across most benchmarks.

Thu Oct 08 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Gemini 2.0 Flash costs less

For input processing, Gemini 2.0 Flash ($0.10/1M tokens) is 1.8x cheaper than Qwen3 VL 8B Thinking ($0.18/1M tokens).

For output processing, Gemini 2.0 Flash ($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 2.0 Flash.*

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

Lowest available price from all providers
Thu Oct 08 2026 • llm-stats.com
Google
Gemini 2.0 Flash
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?

Context Window

Maximum input and output token capacity

Gemini 2.0 Flash 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 2.0 Flash is limited to 8,192 tokens.

Google
Gemini 2.0 Flash
Input1,048,576 tokens
Output8,192 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Thinking
Input262,144 tokens
Output262,144 tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 2.0 Flash and Qwen3 VL 8B Thinking support multimodal inputs.

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

Gemini 2.0 Flash

Text
Images
Audio
Video

Qwen3 VL 8B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 Flash 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.

Gemini 2.0 Flash

Proprietary

Closed source

Qwen3 VL 8B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash was released on 2024-12-01, while Qwen3 VL 8B Thinking was released on 2025-09-22.

Qwen3 VL 8B Thinking is 10 months newer than Gemini 2.0 Flash.

Gemini 2.0 Flash

Dec 1, 2024

1.9 years ago

Qwen3 VL 8B Thinking

Sep 22, 2025

1.0 years ago

9mo newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash has a documented knowledge cutoff of 2024-08-01, while Qwen3 VL 8B Thinking's cutoff date is not specified.

We can confirm Gemini 2.0 Flash's training data extends to 2024-08-01, but cannot make a direct comparison without Qwen3 VL 8B Thinking's cutoff date.

Gemini 2.0 Flash

Aug 2024

Qwen3 VL 8B Thinking

—

Provider Availability

Gemini 2.0 Flash is available from Google. Qwen3 VL 8B Thinking is available from DeepInfra.

Gemini 2.0 Flash

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?

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash and Qwen3 VL 8B Thinking side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash
✓ Preferred
Qwen3 VL 8B Thinking
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash vs Qwen3 VL 8B Thinking.

Which is better, Gemini 2.0 Flash or Qwen3 VL 8B Thinking?

Gemini 2.0 Flash and Qwen3 VL 8B Thinking are closely matched on the LLM Stats Score at 16.5 and 16.2. Gemini 2.0 Flash 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 capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 2.0 Flash compare to Qwen3 VL 8B Thinking in benchmarks?

Gemini 2.0 Flash scores Natural2Code: 92.9%, MATH: 89.7%, FACTS Grounding: 83.6%, MMLU-Pro: 76.4%, EgoSchema: 71.5%. 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 2.0 Flash cheaper than Qwen3 VL 8B Thinking?

Gemini 2.0 Flash is 1.8x cheaper for input tokens. Gemini 2.0 Flash 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 2.0 Flash and Qwen3 VL 8B Thinking?

Gemini 2.0 Flash 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 2.0 Flash and Qwen3 VL 8B Thinking?

Key differences include LLM Stats Score (16.5 vs 16.2), context window (1.0M vs 262K), input pricing ($0.10 vs $0.18/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash and Qwen3 VL 8B Thinking?

Gemini 2.0 Flash is developed by Google and Qwen3 VL 8B Thinking is developed by Alibaba Cloud / Qwen Team.

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