Model Comparison

Gemini 1.5 Flash 8B vs Qwen3 235B A22B

Qwen3 235B A22B significantly outperforms across most benchmarks. Qwen3 235B A22B is 1.3x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 1.5 Flash 8B outperforms in 0 benchmarks, while Qwen3 235B A22B is better at 3 benchmarks (GPQA, MATH, MMLU-Pro).

Qwen3 235B A22B significantly outperforms across most benchmarks.

Sat May 09 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 235B A22B costs less

For input processing, Gemini 1.5 Flash 8B ($0.07/1M tokens) is 1.4x cheaper than Qwen3 235B A22B ($0.10/1M tokens).

For output processing, Gemini 1.5 Flash 8B ($0.30/1M tokens) is 3.0x more expensive than Qwen3 235B A22B ($0.10/1M tokens).

In conclusion, Gemini 1.5 Flash 8B is more expensive than Qwen3 235B A22B.*

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

Lowest available price from all providers

Sat May 09 2026 • llm-stats.com

Gemini 1.5 Flash 8B

Input tokens$0.07

Output tokens$0.30

Best providerGoogle

Qwen3 235B A22B

Input tokens$0.10

Output tokens$0.10

Best providerFireworks

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

227.0B diff

Qwen3 235B A22B has 227.0B more parameters than Gemini 1.5 Flash 8B, making it 2837.5% larger.

Gemini 1.5 Flash 8B

8.0Bparameters

Qwen3 235B A22B

235.0Bparameters

8.0B

Gemini 1.5 Flash 8B

235.0B

Qwen3 235B A22B

Context Window

Maximum input and output token capacity

Gemini 1.5 Flash 8B accepts 1,048,576 input tokens compared to Qwen3 235B A22B's 128,000 tokens. Qwen3 235B A22B can generate longer responses up to 128,000 tokens, while Gemini 1.5 Flash 8B is limited to 8,192 tokens.

Gemini 1.5 Flash 8B

Input1,048,576 tokens

Output8,192 tokens

Qwen3 235B A22B

Input128,000 tokens

Output128,000 tokens

Sat May 09 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 1.5 Flash 8B supports multimodal inputs, whereas Qwen3 235B A22B does not.

Gemini 1.5 Flash 8B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 1.5 Flash 8B

Text

Images

Audio

Video

Qwen3 235B A22B

Text

Images

Audio

Video

License

Usage and distribution terms

Gemini 1.5 Flash 8B is licensed under a proprietary license, while Qwen3 235B A22B uses Apache 2.0.

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

Gemini 1.5 Flash 8B

Proprietary

Closed source

Qwen3 235B A22B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Flash 8B was released on 2024-03-15, while Qwen3 235B A22B was released on 2025-04-29.

Qwen3 235B A22B is 14 months newer than Gemini 1.5 Flash 8B.

Gemini 1.5 Flash 8B

Mar 15, 2024

2.2 years ago

Qwen3 235B A22B

Apr 29, 2025

1.0 years ago

1.1yr newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash 8B has a documented knowledge cutoff of 2024-10-01, while Qwen3 235B A22B's cutoff date is not specified.

We can confirm Gemini 1.5 Flash 8B's training data extends to 2024-10-01, but cannot make a direct comparison without Qwen3 235B A22B's cutoff date.

Gemini 1.5 Flash 8B

Oct 2024

Qwen3 235B A22B

—

Provider Availability

Gemini 1.5 Flash 8B is available from Google. Qwen3 235B A22B is available from Fireworks, DeepInfra, Novita, Together.

Gemini 1.5 Flash 8B

Google

Input Price:Input: $0.07/1MOutput Price:Output: $0.30/1M

Qwen3 235B A22B

Fireworks

Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M

Deepinfra

Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M

Novita

Input Price:Input: $0.20/1MOutput Price:Output: $0.80/1M

Together

Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Gemini 1.5 Flash 8B

View details

Google

Larger context window (1,048,576 tokens)

Supports multimodal inputs

Less expensive input tokens

Qwen3 235B A22B

View details

Alibaba Cloud / Qwen Team

Less expensive output tokens

Has open weights

Higher GPQA score (47.5% vs 38.4%)

Higher MATH score (71.8% vs 58.7%)

Higher MMLU-Pro score (68.2% vs 58.7%)

Gemini 1.5 Flash 8B

Qwen3 235B A22B

Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature	Gemini 1.5 Flash 8B	Qwen3 235B A22B

FAQ

Common questions about Gemini 1.5 Flash 8B vs Qwen3 235B A22B.

Which is better, Gemini 1.5 Flash 8B or Qwen3 235B A22B?

Qwen3 235B A22B significantly outperforms across most benchmarks. Gemini 1.5 Flash 8B is made by Google and Qwen3 235B A22B 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 1.5 Flash 8B compare to Qwen3 235B A22B in benchmarks?

Gemini 1.5 Flash 8B scores XSTest: 92.6%, FLEURS: 86.4%, Natural2Code: 75.5%, WMT23: 72.6%, Video-MME: 66.2%. Qwen3 235B A22B scores Arena Hard: 95.6%, GSM8k: 94.4%, BBH: 88.9%, MMLU: 87.8%, MMLU-Redux: 87.4%.

Is Gemini 1.5 Flash 8B cheaper than Qwen3 235B A22B?

Gemini 1.5 Flash 8B is 1.4x cheaper for input tokens. Gemini 1.5 Flash 8B costs $0.07/M input and $0.30/M output via google. Qwen3 235B A22B costs $0.10/M input and $0.10/M output via fireworks.

What are the context window sizes for Gemini 1.5 Flash 8B and Qwen3 235B A22B?

Gemini 1.5 Flash 8B supports 1.0M tokens and Qwen3 235B A22B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 1.5 Flash 8B and Qwen3 235B A22B?

Key differences include context window (1.0M vs 128K), input pricing ($0.07 vs $0.10/M), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.5 Flash 8B and Qwen3 235B A22B?

Gemini 1.5 Flash 8B is developed by Google and Qwen3 235B A22B is developed by Alibaba Cloud / Qwen Team.