Grok 4.5 vs Qwen3.7 Max
Grok 4.5 and Qwen3.7 Max are closely matched at 45.4 and 45.5 on the LLM Stats Score. Qwen3.7 Max is 1.6x cheaper per token.
xAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Grok 4.5 and Qwen3.7 Max are closely matched on the overall LLM Stats Score at 45.4 and 45.5.
In the 2 individual benchmarks reported for both models, Grok 4.5 wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3.7 Max is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3.7 Max also accepts a larger context window (1,000,000 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 4.5
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you want the most recent training data — it shipped Jul 2026
Choose Qwen3.7 Max
- cost matters — it's about 1.6x cheaper per token
- you process long inputs — it offers a 1,000,000 token context window
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
15 reported for Grok 4.5 · 42 for Qwen3.7 Max
Grok 4.5 outperforms in 2 benchmarks (GPQA, SWE-Bench Pro), while Qwen3.7 Max is better at 0 benchmarks.
Grok 4.5 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Grok 4.5 ($2.00/1M tokens) is 1.6x more expensive than Qwen3.7 Max ($1.25/1M tokens).
For output processing, Grok 4.5 ($6.00/1M tokens) is 1.6x more expensive than Qwen3.7 Max ($3.75/1M tokens).
In conclusion, Grok 4.5 is more expensive than Qwen3.7 Max.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Qwen3.7 Max accepts 1,000,000 input tokens compared to Grok 4.5's 500,000 tokens. Only Qwen3.7 Max specifies output context (65,536 tokens).
Input capabilities
Documented input modalities across available providers
Grok 4.5 supports multimodal inputs, whereas Qwen3.7 Max does not.
Grok 4.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Grok 4.5
Qwen3.7 Max
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Grok 4.5 was released on 2026-07-16, while Qwen3.7 Max was released on 2026-05-19.
Grok 4.5 is 2 months newer than Qwen3.7 Max.
Jul 16, 2026
2 months ago
1mo newerMay 19, 2026
4 months ago
Knowledge Cutoff
When training data ends
Grok 4.5 has a documented knowledge cutoff of 2026-02-01, while Qwen3.7 Max's cutoff date is not specified.
We can confirm Grok 4.5's training data extends to 2026-02-01, but cannot make a direct comparison without Qwen3.7 Max's cutoff date.
Feb 2026
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Provider Availability
Grok 4.5 is available from xAI. Qwen3.7 Max is available from Novita, DeepInfra, Together.
Grok 4.5
Qwen3.7 Max
Outputs Comparison
Judge for yourself.
Run your own prompts against Grok 4.5 and Qwen3.7 Max side-by-side, then vote on the output you prefer.
FAQ
Common questions about Grok 4.5 vs Qwen3.7 Max.