Compare the listed model data for Qwen2.5 Coder 32B by Qwen and DeepSeek-V3 by DeepSeek. Benchmark and pricing records are not a controlled test and may change.
Data last updated: 2026-10-16. Verify current model details with each provider.
What the listed data says
Qwen2.5 Coder 32B: 128K tokens; DeepSeek-V3: 128K tokens. The listed context-window values are equal. Qwen2.5 Coder 32B is listed for coding, agentic workflows, long-context tasks; DeepSeek-V3 is listed for coding, agentic workflows, long-context tasks. Shared catalog benchmark entries: HumanEval: Qwen2.5 Coder 32B 92.7%; DeepSeek-V3 89.9%; LiveCodeBench: Qwen2.5 Coder 32B 52.8%; DeepSeek-V3 51.4%. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.
Catalog source links
Use these model and provider links to verify current specifications, pricing, and availability.
The first listed parameter quantities are 32B and 671B total (37B active via MoE); the larger quantity is 20.97× the smaller. Total and active MoE parameters are not directly equivalent.
The catalog release dates are November 2024 and December 2024, about 1 month apart at the precision supplied.
Cost example: 1M input and 1M output tokens
Using only the catalog's listed per-million-token rates, 1M input plus 1M output tokens costs about $1 for Qwen2.5 Coder 32B and $1.37 for DeepSeek-V3. This excludes provider-specific discounts, caching, and other fees.
Choose Qwen2.5 Coder 32B if…
Choose Qwen2.5 Coder 32B when your task aligns with catalog-listed uses or strengths such as Full-stack development, Code completion and review, Debugging complex code, Software architecture.
Choose DeepSeek-V3 if…
Choose DeepSeek-V3 when your task aligns with catalog-listed uses or strengths such as General-purpose coding and software development, Business document analysis, API building at high quality and low cost, Enterprise AI integration at scale.
Feature Comparison — Qwen2.5 Coder 32B vs DeepSeek-V3
Catalog specifications for Qwen2.5 Coder 32B and DeepSeek-V3
Specification
Qwen2.5 Coder 32B
DeepSeek-V3
Provider
Qwen
DeepSeek
Parameters
32B
671B total (37B active via MoE)
Context window
128K tokens
128K tokens
Maximum output
Not listed
Not listed
Catalog pricing
Free via LITHOVEX
MIT open source. DeepSeek API: $0.27/MTok input, $1.10/MTok output
Listed input/output cost per 1M tokens
input $0.3, output $0.7 per 1M tokens
input $0.27, output $1.1 per 1M tokens
License
Apache 2.0
MIT
Coding support
Listed
Listed
Reasoning support
Not listed
Not listed
Vision input
Not listed
Not listed
Multimodal
Not listed
Not listed
Open weights
Not listed
Yes
Benchmark: HumanEval
92.7%
89.9%
Benchmark: LiveCodeBench
52.8%
51.4%
Figures are transcribed from LITHOVEX model records. Benchmark versions and evaluation setups may differ; pricing and specifications can change. Check each provider's current documentation before making a decision.
Frequently Asked Questions
What is different between Qwen2.5 Coder 32B and DeepSeek-V3?
Qwen2.5 Coder 32B: 128K tokens; DeepSeek-V3: 128K tokens. The listed context-window values are equal. Qwen2.5 Coder 32B is listed for coding, agentic workflows, long-context tasks; DeepSeek-V3 is listed for coding, agentic workflows, long-context tasks. Shared catalog benchmark entries: HumanEval: Qwen2.5 Coder 32B 92.7%; DeepSeek-V3 89.9%; LiveCodeBench: Qwen2.5 Coder 32B 52.8%; DeepSeek-V3 51.4%. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.
What benchmark values are listed for Qwen2.5 Coder 32B and DeepSeek-V3?
HumanEval: Qwen2.5 Coder 32B 92.7%; DeepSeek-V3 89.9%; LiveCodeBench: Qwen2.5 Coder 32B 52.8%; DeepSeek-V3 51.4%. The catalog values may use different versions and evaluation setups, so they are reference points rather than a controlled head-to-head result.
Which model has the larger listed context window?
Qwen2.5 Coder 32B: 128K tokens; DeepSeek-V3: 128K tokens. The listed context-window values are equal.
What are the listed costs per million tokens for Qwen2.5 Coder 32B and DeepSeek-V3?
Qwen2.5 Coder 32B: input $0.3, output $0.7 per 1M tokens (Free via LITHOVEX). DeepSeek-V3: input $0.27, output $1.1 per 1M tokens (MIT open source. DeepSeek API: $0.27/MTok input, $1.10/MTok output). Where separate numeric input and output rates are available, the worked example uses 1M input plus 1M output tokens. Confirm current terms with each provider.
How far apart are the listed release dates for Qwen2.5 Coder 32B and DeepSeek-V3?
The catalog lists Qwen2.5 Coder 32B as November 2024 and DeepSeek-V3 as December 2024, about 1 month apart at the precision supplied.
When was the comparison data last updated?
The model catalog records 2026-10-16 as its data update date. Provider specifications and prices may have changed since then.
How should I choose between Qwen2.5 Coder 32B and DeepSeek-V3?
Compare the listed specifications and capabilities, review the benchmark notes, then test both with the same representative prompt for your task. This page does not claim a universal winner.
Create your free LITHOVEX account and compare Qwen2.5 Coder 32B and DeepSeek-V3 on your actual tasks. No credit card, no API key, no subscriptions needed.