Grok 4 Fast vs Qwen3-235B-A22B-Thinking-2507
Grok 4 Fast leads the LLM Stats Score 31.7 to 28.0. Grok 4 Fast is 3.5x cheaper per token.
xAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Grok 4 Fast leads the overall LLM Stats Score 31.7 to 28.0, ranking #118 overall.
In the 3 individual benchmarks reported for both models, Grok 4 Fast wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Grok 4 Fast is roughly 3.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Grok 4 Fast also accepts a larger context window (2,000,000 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 Grok 4 Fast
- overall performance matters — it scores 31.7 and ranks #118 on LLM Stats
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
- cost matters — it's about 3.5x cheaper per token
- you process long inputs — it offers a 2,000,000 token context window
- you want the most recent training data — it shipped Aug 2025
Choose Qwen3-235B-A22B-Thinking-2507
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
7 reported for Grok 4 Fast · 25 for Qwen3-235B-A22B-Thinking-2507
Grok 4 Fast outperforms in 2 benchmarks (GPQA, Humanity's Last Exam), while Qwen3-235B-A22B-Thinking-2507 is better at 1 benchmark (AIME 2025).
Grok 4 Fast shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Grok 4 Fast ($0.20/1M tokens) is 1.5x cheaper than Qwen3-235B-A22B-Thinking-2507 ($0.30/1M tokens).
For output processing, Grok 4 Fast ($0.50/1M tokens) is 6.0x cheaper than Qwen3-235B-A22B-Thinking-2507 ($3.00/1M tokens).
In conclusion, Qwen3-235B-A22B-Thinking-2507 is more expensive than Grok 4 Fast.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Grok 4 Fast accepts 2,000,000 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 Grok 4 Fast is limited to 30,000 tokens.
Input capabilities
Documented input modalities across available providers
Grok 4 Fast supports multimodal inputs, whereas Qwen3-235B-A22B-Thinking-2507 does not.
Grok 4 Fast can handle both text and other forms of data like images, making it suitable for multimodal applications.
Grok 4 Fast
Qwen3-235B-A22B-Thinking-2507
License
Usage and distribution terms
Grok 4 Fast 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.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Grok 4 Fast was released on 2025-08-28, while Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.
Grok 4 Fast is 1 month newer than Qwen3-235B-A22B-Thinking-2507.
Aug 28, 2025
1.1 years ago
1mo newerJul 25, 2025
1.2 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Grok 4 Fast is available from xAI. Qwen3-235B-A22B-Thinking-2507 is available from Fireworks, Novita.
Grok 4 Fast
Qwen3-235B-A22B-Thinking-2507
Outputs Comparison
Judge for yourself.
Run your own prompts against Grok 4 Fast and Qwen3-235B-A22B-Thinking-2507 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Grok 4 Fast vs Qwen3-235B-A22B-Thinking-2507.