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GPT-5.5 vs Qwen 2.5-Coder 32B

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for GPT-5.5 and Qwen 2.5-Coder 32B.

OpenAI

GPT-5.5

GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...

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Alibaba

Qwen 2.5-Coder 32B

Qwen 2.5-Coder 32B is Alibaba's specialized code generation model built on the Qwen 2.5 architecture, fine-tuned on a massive corpus of code repositories, technical documentation, and programming discussions. It achieves competitive results against GPT-4o and Claude Sonnet on coding benchmarks like HumanEval, MBPP, and LiveCodeBench while supporting a broad range of programming languages from Python and JavaScript to Rust and Go. Its 128K context window enables whole-repository analysis and complex multi-file refactoring tasks.

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Technical Specifications

SpecificationGPT-5.5Qwen 2.5-Coder 32B
ProviderOpenAIAlibaba
Context Window1,050,000 tokens131,072 tokens
Agent Suitability95/10089/100
Time to First Token (TTFT)380 ms260 ms
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-242025-11-12

API Pricing Comparison

Input Price per Million Tokens

GPT-5.5

$5.00

Qwen 2.5-Coder 32B

$0.35

Output Price per Million Tokens

GPT-5.5

$30.00

Qwen 2.5-Coder 32B

$0.70

Want to test both models live?

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Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
9420.0%vsN/A
GPT-5.5
Qwen 2.5-Coder 32B
HumanEvalPython coding & logic synthesis
9680.0%vsN/A
GPT-5.5
Qwen 2.5-Coder 32B
MATHComplex mathematical problem solving
9350.0%vsN/A
GPT-5.5
Qwen 2.5-Coder 32B
GPQAGraduate-level expert reasoning
8420.0%vsN/A
GPT-5.5
Qwen 2.5-Coder 32B
HellaSwagCommonsense reasoning and inference
9900.0%vsN/A
GPT-5.5
Qwen 2.5-Coder 32B
MT-BenchMulti-turn conversation flow quality
970.0%vsN/A
GPT-5.5
Qwen 2.5-Coder 32B

GPT-5.5 Quirks & Gotchas

  • Best for JSON schema adherence — strict mode available via response_format parameter
  • Requires explicit tool_choice for deterministic function calling

Qwen 2.5-Coder 32B Quirks & Gotchas

  • Strong code generation across 40+ languages — excellent for multi-language repos
  • Available via Alibaba Cloud API or self-hosted