ModelRefs / GPT-4.1 Mini vs Qwen 2.5 Coder 32B
GPT-4.1 Mini vs Qwen 2.5 Coder 32B
GPT-4.1 Mini vs Qwen 2.5 Coder 32B: side-by-side benchmarks, pricing, context windows, coding ability and deployment. Pick the right model for your stack.
Overview
GPT-4.1 Mini: GPT-4.1 Mini is OpenAI's April 2025 smaller, faster GPT-4.1 variant, carrying the same 1,047,576-token context window, 32,768-token maximum output and June 2024 knowledge cutoff as the full model at roughly a fifth of its input price. It accepts text and image input and, like GPT-4.1, answers without a reasoning step. OpenAI has since deprecated it, scheduling the gpt-4.1-mini-2025-04-14 snapshot to shut down on 14 January 2027 with gpt-6-luna as the replacement.
Qwen 2.5 Coder 32B: Qwen 2.5 Coder 32B Instruct is Alibaba's code-specialised model, 32.5 billion parameters (31.0 billion excluding embeddings) trained on 5.5 trillion tokens of source code, text-code grounding and synthetic data, and released under Apache 2.0. Qwen builds it for code generation, code reasoning and code repair. The published config sets a 32,768-token context by default; reaching the full 131,072 tokens requires YaRN scaling, which Qwen notes can degrade quality on shorter inputs.
Context window: GPT-4.1 Mini accepts up to 1,000,000 tokens, Qwen 2.5 Coder 32B up to 131,072. Confirm the limit for your specific deployment channel before relying on it.
GPT-4.1 Mini vs Qwen 2.5 Coder 32B at a glance
| Attribute | GPT-4.1 Mini | Qwen 2.5 Coder 32B |
|---|---|---|
| Provider | OpenAI | Alibaba |
| Released | 2025-04-14 | 2024-11-12 |
| Context window | 1,000,000 tokens | 131,072 tokens |
| Input price | $0.4/M tokens | $0.18/M tokens |
| Output price | $1.6/M tokens | $0.18/M tokens |
| Licence | Proprietary | Apache-2.0 |
| Self-hostable | No, hosted only | Yes, open weights |
| Modalities | text, vision | text |
Where they differ most
- Cost Efficiency: GPT-4.1 Mini 80%, Qwen 2.5 Coder 32B 96%. Qwen 2.5 Coder 32B leads on this dimension.
Capability scores are ModelRefs' own derived signals, not vendor claims or benchmark results. Validate against your own workload before relying on them.
Continue your research
Use these connected ModelRefs sections to compare alternatives, inspect implementation paths, and review the evidence and governance boundaries relevant to GPT-4.1 Mini vs Qwen 2.5 Coder 32B.
Frequently asked questions
Which is better, GPT-4.1 Mini or Qwen 2.5 Coder 32B?
GPT-4.1 Mini and Qwen 2.5 Coder 32B target different workloads — see the benchmark and pricing tables for a side-by-side answer.
Is GPT-4.1 Mini cheaper than Qwen 2.5 Coder 32B?
Compare $0.00040 vs $0.00018 on this page.