Grok-3 vs Qwen3-235B-A22B-Thinking-2507 Comparison

Comparing Grok-3 and Qwen3-235B-A22B-Thinking-2507 across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Grok-3 outperforms in 2 benchmarks (AIME 2025, GPQA), while Qwen3-235B-A22B-Thinking-2507 is better at 0 benchmarks.

Grok-3 significantly outperforms across most benchmarks.

Sat Mar 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3-235B-A22B-Thinking-2507 costs less

For input processing, Grok-3 ($3.00/1M tokens) is 10.0x more expensive than Qwen3-235B-A22B-Thinking-2507 ($0.30/1M tokens).

For output processing, Grok-3 ($15.00/1M tokens) is 5.0x more expensive than Qwen3-235B-A22B-Thinking-2507 ($3.00/1M tokens).

In conclusion, Grok-3 is more expensive than Qwen3-235B-A22B-Thinking-2507.*

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

Lowest available price from all providers

Sat Mar 14 2026 • llm-stats.com

Grok-3

Input tokens$3.00

Output tokens$15.00

Best providerxAI

Qwen3-235B-A22B-Thinking-2507

Input tokens$0.30

Output tokens$3.00

Best providerFireworks

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Context Window

Maximum input and output token capacity

Qwen3-235B-A22B-Thinking-2507 accepts 262,144 input tokens compared to Grok-3's 128,000 tokens. Qwen3-235B-A22B-Thinking-2507 can generate longer responses up to 131,072 tokens, while Grok-3 is limited to 8,000 tokens.

Grok-3

Input128,000 tokens

Output8,000 tokens

Qwen3-235B-A22B-Thinking-2507

Input262,144 tokens

Output131,072 tokens

Sat Mar 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Grok-3 supports multimodal inputs, whereas Qwen3-235B-A22B-Thinking-2507 does not.

Grok-3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Grok-3

Text

Images

Audio

Video

Qwen3-235B-A22B-Thinking-2507

Text

Images

Audio

Video

License

Usage and distribution terms

Grok-3 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.

Grok-3

Proprietary

Closed source

Qwen3-235B-A22B-Thinking-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Grok-3 was released on 2025-02-17, while Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.

Qwen3-235B-A22B-Thinking-2507 is 5 months newer than Grok-3.

Grok-3

Feb 17, 2025

1.1 years ago

Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

7 months ago

5mo newer

Knowledge Cutoff

When training data ends

Grok-3 has a documented knowledge cutoff of 2024-11-17, while Qwen3-235B-A22B-Thinking-2507's cutoff date is not specified.

We can confirm Grok-3's training data extends to 2024-11-17, but cannot make a direct comparison without Qwen3-235B-A22B-Thinking-2507's cutoff date.

Grok-3

Nov 2024

Qwen3-235B-A22B-Thinking-2507

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Provider Availability

Grok-3 is available from xAI. Qwen3-235B-A22B-Thinking-2507 is available from Fireworks, Novita. The availability of providers can affect quality of the model and reliability.