Qwen2.5-Coder-32B for code completion
Qwen2.5-Coder-32B is the #1 pick on LLMDex's llm for code completion ranking out of 6 models we track for this use case. Below, the specific reasons it slots where it does, and when you should reach for an alternative.
Updated
At a glance
- Rank
- #1 of 6
- Context
- 128K tokens
- Output / 1M
- Pricing not published
- Released
- Nov 2024
Why Qwen2.5-Coder-32B fits this task
Three things about Qwen2.5-Coder-32B that map directly onto what this task rewards: Top open-weight coder; Apache-2.0; FIM-native. Beyond the task-specific fit, Qwen2.5-Coder-32B also brings top open-weight coder and apache-2.0, both of which compound when the workload broadens.
The criteria this task rewards
LLMDex ranks best llm for code completion on 5 criteria , these are the axes the ranking uses, in priority order:
- P99 latency under 250ms for inline suggestions
- Fill-in-the-middle (FIM) capability
- Accuracy on next-token completion in mid-function context
- Cost per million tokens for high-volume editor traffic
- On-prem / self-host availability for IP-sensitive teams
How Qwen2.5-Coder-32B scores on each axis
Where Qwen2.5-Coder-32B costs you: coding-focused, not a general chat model. For most teams this is acceptable on this workload, the value of the strengths above outweighs the cost. For cost-bound workloads or teams with strict latency budgets, run an eval against the next two ranked models on real data before committing.
Strengths that pay off here
- Top open-weight coder
- Apache-2.0
- FIM-native
Tracked weaknesses
- Coding-focused, not a general chat model
When to pick something else
If you have a binding constraint that Qwen2.5-Coder-32B doesn't satisfy, pricing, license, regional availability, modality coverage, the next-best pick on this task is DeepSeek-V3 from DeepSeek. DeepSeek's flagship 671B-parameter MoE, frontier-level quality at a tiny fraction of frontier prices.
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Other models for code completion
- DeepSeek-V3 for code completion
DeepSeek's flagship 671B-parameter MoE, frontier-level quality at a tiny fraction of frontier prices.
Read guide - Claude Haiku 4 for code completion
Anthropic's smallest 4-tier model, fast and cheap with the family's signature tone.
Read guide - GPT-5 mini for code completion
GPT-5's mid-tier sibling, most of the quality at a fraction of the price, ideal for high-volume production workloads.
Read guide - Codestral 2 for code completion
Mistral's code-specialized model, fast inline completion and strong fill-in-the-middle support.
Read guide - GPT-5 nano for code completion
OpenAI's smallest GPT-5 variant, built for ultra-low-cost classification, routing, and high-volume inference.
Read guide
Qwen2.5-Coder-32B for other use cases
Direct comparisons
Frequently asked
Is Qwen2.5-Coder-32B good for code completion?
Qwen2.5-Coder-32B is ranked #1 on LLMDex's code completion list. Open-weight code specialist, frequently the top open option for self-hosted code completion.How much does Qwen2.5-Coder-32B cost for code completion?
Alibaba has not published per-token pricing for Qwen2.5-Coder-32B at the time of writing.What's a cheaper alternative to Qwen2.5-Coder-32B for code completion?
The next ranked model on this task is DeepSeek-V3. Compare both before committing.When should I NOT use Qwen2.5-Coder-32B for code completion?
Tracked weakness: Coding-focused, not a general chat model. If that constraint is binding for your workload, the next-ranked model on this task is the safer pick.
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