Model Comparison

DeepSeek-V3.2-Exp vs Qwen2.5-Coder 32B Instruct

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks. Qwen2.5-Coder 32B Instruct is 3.4x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek-V3.2-Exp outperforms in 2 benchmarks (LiveCodeBench, MMLU-Pro), while Qwen2.5-Coder 32B Instruct is better at 0 benchmarks.

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks.

Thu Apr 30 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, DeepSeek-V3.2-Exp ($0.27/1M tokens) is 3.0x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).

For output processing, DeepSeek-V3.2-Exp ($0.41/1M tokens) is 4.6x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).

In conclusion, DeepSeek-V3.2-Exp 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
Thu Apr 30 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2-Exp
Input tokens$0.27
Output tokens$0.41
Best providerNovita
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
Input tokens$0.09
Output tokens$0.09
Best providerLambda
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Model Size

Parameter count comparison

653.0B diff

DeepSeek-V3.2-Exp has 653.0B more parameters than Qwen2.5-Coder 32B Instruct, making it 2040.6% larger.

DeepSeek
DeepSeek-V3.2-Exp
685.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
32.0Bparameters
685.0B
DeepSeek-V3.2-Exp
32.0B
Qwen2.5-Coder 32B Instruct

Context Window

Maximum input and output token capacity

DeepSeek-V3.2-Exp accepts 163,840 input tokens compared to Qwen2.5-Coder 32B Instruct's 128,000 tokens. Qwen2.5-Coder 32B Instruct can generate longer responses up to 128,000 tokens, while DeepSeek-V3.2-Exp is limited to 65,536 tokens.

DeepSeek
DeepSeek-V3.2-Exp
Input163,840 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
Input128,000 tokens
Output128,000 tokens
Thu Apr 30 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3.2-Exp is licensed under MIT, 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.

DeepSeek-V3.2-Exp

MIT

Open weights

Qwen2.5-Coder 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2-Exp was released on 2025-09-29, while Qwen2.5-Coder 32B Instruct was released on 2024-09-19.

DeepSeek-V3.2-Exp is 13 months newer than Qwen2.5-Coder 32B Instruct.

DeepSeek-V3.2-Exp

Sep 29, 2025

7 months ago

1.0yr newer
Qwen2.5-Coder 32B Instruct

Sep 19, 2024

1.6 years ago

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

DeepSeek-V3.2-Exp is available from Novita. Qwen2.5-Coder 32B Instruct is available from Lambda, DeepInfra, Hyperbolic, Fireworks.

DeepSeek-V3.2-Exp

novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $0.41/1M

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

Larger context window (163,840 tokens)
Higher LiveCodeBench score (74.1% vs 31.4%)
Higher MMLU-Pro score (85.0% vs 50.4%)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2-Exp
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct

FAQ

Common questions about DeepSeek-V3.2-Exp vs Qwen2.5-Coder 32B Instruct

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks. DeepSeek-V3.2-Exp is made by DeepSeek 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.
DeepSeek-V3.2-Exp scores SimpleQA: 97.1%, AIME 2025: 89.3%, MMLU-Pro: 85.0%, HMMT 2025: 83.6%, GPQA: 79.9%. 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 3.0x cheaper for input tokens. DeepSeek-V3.2-Exp costs $0.27/M input and $0.41/M output via novita. Qwen2.5-Coder 32B Instruct costs $0.09/M input and $0.09/M output via lambda.
DeepSeek-V3.2-Exp supports 164K 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 context window (164K vs 128K), input pricing ($0.27 vs $0.09/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V3.2-Exp is developed by DeepSeek and Qwen2.5-Coder 32B Instruct is developed by Alibaba Cloud / Qwen Team.