Model Comparison

Grok-2 vs Qwen2.5-Coder 32B Instruct

Grok-2 shows notably better performance in the majority of benchmarks. Qwen2.5-Coder 32B Instruct is 44.4x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Grok-2 outperforms in 3 benchmarks (MATH, MMLU, MMLU-Pro), while Qwen2.5-Coder 32B Instruct is better at 1 benchmark (HumanEval).

Grok-2 shows notably better performance in the majority of benchmarks.

Tue Apr 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen2.5-Coder 32B Instruct costs less

For input processing, Grok-2 ($2.00/1M tokens) is 22.2x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).

For output processing, Grok-2 ($10.00/1M tokens) is 111.1x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).

In conclusion, Grok-2 is more expensive than Qwen2.5-Coder 32B Instruct.*

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

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
xAI
Grok-2
Input tokens$2.00
Output tokens$10.00
Best providerxAI
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
Input tokens$0.09
Output tokens$0.09
Best providerLambda
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Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. Qwen2.5-Coder 32B Instruct can generate longer responses up to 128,000 tokens, while Grok-2 is limited to 8,000 tokens.

xAI
Grok-2
Input128,000 tokens
Output8,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
Input128,000 tokens
Output128,000 tokens
Tue Apr 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Grok-2 supports multimodal inputs, whereas Qwen2.5-Coder 32B Instruct does not.

Grok-2 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Grok-2

Text
Images
Audio
Video

Qwen2.5-Coder 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Grok-2 is licensed under a proprietary license, while Qwen2.5-Coder 32B Instruct uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Grok-2

Proprietary

Closed source

Qwen2.5-Coder 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Grok-2 was released on 2024-08-13, while Qwen2.5-Coder 32B Instruct was released on 2024-09-19.

Qwen2.5-Coder 32B Instruct is 1 month newer than Grok-2.

Grok-2

Aug 13, 2024

1.7 years ago

Qwen2.5-Coder 32B Instruct

Sep 19, 2024

1.6 years ago

1mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Grok-2 is available from xAI. Qwen2.5-Coder 32B Instruct is available from Lambda, DeepInfra, Hyperbolic, Fireworks.

Grok-2

xai logo
xAI
Input Price:Input: $2.00/1MOutput Price:Output: $10.00/1M

Qwen2.5-Coder 32B Instruct

lambda logo
Lambda
Input Price:Input: $0.09/1MOutput Price:Output: $0.09/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

xAI
Supports multimodal inputs
Higher MATH score (76.1% vs 57.2%)
Higher MMLU score (87.5% vs 75.1%)
Higher MMLU-Pro score (75.5% vs 50.4%)
Alibaba Cloud / Qwen Team
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher HumanEval score (92.7% vs 88.4%)

Detailed Comparison

AI Model Comparison Table
Feature
xAI
Grok-2
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct

FAQ

Common questions about Grok-2 vs Qwen2.5-Coder 32B Instruct

Grok-2 shows notably better performance in the majority of benchmarks. Grok-2 is made by xAI and Qwen2.5-Coder 32B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Grok-2 scores DocVQA: 93.6%, HumanEval: 88.4%, MMLU: 87.5%, MATH: 76.1%, MMLU-Pro: 75.5%. Qwen2.5-Coder 32B Instruct scores HumanEval: 92.7%, GSM8k: 91.1%, MBPP: 90.2%, HellaSwag: 83.0%, Winogrande: 80.8%.
Qwen2.5-Coder 32B Instruct is 22.2x cheaper for input tokens. Grok-2 costs $2.00/M input and $10.00/M output via xai. Qwen2.5-Coder 32B Instruct costs $0.09/M input and $0.09/M output via lambda.
Grok-2 supports 128K tokens and Qwen2.5-Coder 32B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include input pricing ($2.00 vs $0.09/M), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Grok-2 is developed by xAI and Qwen2.5-Coder 32B Instruct is developed by Alibaba Cloud / Qwen Team.