Grok-2 vs Qwen3 32B
Qwen3 32B leads the LLM Stats Score 18.4 to 11.4. Qwen3 32B is 30.8x cheaper per token.
xAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3 32B leads the overall LLM Stats Score 18.4 to 11.4, ranking #211 overall.
On price, Qwen3 32B is roughly 30.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Grok-2 also accepts a larger context window (128,000 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-2
- you process long inputs — it offers a 128,000 token context window
Choose Qwen3 32B
- overall performance matters — it scores 18.4 and ranks #211 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- cost matters — it's about 30.8x cheaper per token
- you want the most recent training data — it shipped Apr 2025
- 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
8 reported for Grok-2 · 9 for Qwen3 32B
Grok-2 and Qwen3 32Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Grok-2 ($2.00/1M tokens) is 25.0x more expensive than Qwen3 32B ($0.08/1M tokens).
For output processing, Grok-2 ($10.00/1M tokens) is 35.7x more expensive than Qwen3 32B ($0.28/1M tokens).
In conclusion, Grok-2 is more expensive than Qwen3 32B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Grok-2 accepts 128,000 input tokens compared to Qwen3 32B's 40,960 tokens. Qwen3 32B can generate longer responses up to 40,960 tokens, while Grok-2 is limited to 8,000 tokens.
Input capabilities
Documented input modalities across available providers
Grok-2 supports multimodal inputs, whereas Qwen3 32B does not.
Grok-2 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Grok-2
Qwen3 32B
License
Usage and distribution terms
Grok-2 is licensed under a proprietary license, while Qwen3 32B 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-2 was released on 2024-08-13, while Qwen3 32B was released on 2025-04-29.
Qwen3 32B is 9 months newer than Grok-2.
Aug 13, 2024
2.1 years ago
Apr 29, 2025
1.4 years ago
8mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Grok-2 is available from xAI. Qwen3 32B is available from DeepInfra, Novita, Sambanova.
Grok-2
Qwen3 32B
Outputs Comparison
Judge for yourself.
Run your own prompts against Grok-2 and Qwen3 32B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Grok-2 vs Qwen3 32B.