Grok-2 vs Qwen2.5 7B Instruct
Grok-2 leads the LLM Stats Score 11.4 to 2.5. Qwen2.5 7B Instruct is 13.3x cheaper per token.
xAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Grok-2 leads the overall LLM Stats Score 11.4 to 2.5, ranking #257 overall.
In the 4 individual benchmarks reported for both models, Grok-2 wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen2.5 7B Instruct is roughly 13.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen2.5 7B Instruct also accepts a larger context window (131,072 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
- overall performance matters — it scores 11.4 and ranks #257 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
Choose Qwen2.5 7B Instruct
- cost matters — it's about 13.3x cheaper per token
- you process long inputs — it offers a 131,072 token context window
- you want the most recent training data — it shipped Sep 2024
- 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 · 14 for Qwen2.5 7B Instruct
Grok-2 outperforms in 4 benchmarks (GPQA, HumanEval, MATH, MMLU-Pro), while Qwen2.5 7B Instruct is better at 0 benchmarks.
Grok-2 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-2 ($2.00/1M tokens) is 6.7x more expensive than Qwen2.5 7B Instruct ($0.30/1M tokens).
For output processing, Grok-2 ($10.00/1M tokens) is 33.3x more expensive than Qwen2.5 7B Instruct ($0.30/1M tokens).
In conclusion, Grok-2 is more expensive than Qwen2.5 7B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Qwen2.5 7B Instruct accepts 131,072 input tokens compared to Grok-2's 128,000 tokens. Qwen2.5 7B Instruct can generate longer responses up to 8,192 tokens, while Grok-2 is limited to 8,000 tokens.
Input capabilities
Documented input modalities across available providers
Grok-2 supports multimodal inputs, whereas Qwen2.5 7B Instruct does not.
Grok-2 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Grok-2
Qwen2.5 7B Instruct
License
Usage and distribution terms
Grok-2 is licensed under a proprietary license, while Qwen2.5 7B Instruct 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 Qwen2.5 7B Instruct was released on 2024-09-19.
Qwen2.5 7B Instruct is 1 month newer than Grok-2.
Aug 13, 2024
2.1 years ago
Sep 19, 2024
2.0 years ago
1mo 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. Qwen2.5 7B Instruct is available from Together.
Grok-2
Qwen2.5 7B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Grok-2 and Qwen2.5 7B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Grok-2 vs Qwen2.5 7B Instruct.