โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

o1 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 o1 and Qwen 2.5-Coder 32B.

OpenAI

o1

The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...

View Full Specs
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.

View Full Specs

Technical Specifications

Specificationo1Qwen 2.5-Coder 32B
ProviderOpenAIAlibaba
Context Window200,000 tokens131,072 tokens
Agent Suitability88/10089/100
Time to First Token (TTFT)2500 ms260 ms
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-12-172025-11-12

API Pricing Comparison

Input Price per Million Tokens

o1

$15.00

Qwen 2.5-Coder 32B

$0.35

Output Price per Million Tokens

o1

$60.00

Qwen 2.5-Coder 32B

$0.70

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

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
9180.0%vsN/A
o1
Qwen 2.5-Coder 32B
HumanEvalPython coding & logic synthesis
9450.0%vsN/A
o1
Qwen 2.5-Coder 32B
MATHComplex mathematical problem solving
9480.0%vsN/A
o1
Qwen 2.5-Coder 32B
GPQAGraduate-level expert reasoning
7830.0%vsN/A
o1
Qwen 2.5-Coder 32B
HellaSwagCommonsense reasoning and inference
9200.0%vsN/A
o1
Qwen 2.5-Coder 32B
MT-BenchMulti-turn conversation flow quality
940.0%vsN/A
o1
Qwen 2.5-Coder 32B

o1 Quirks & Gotchas

  • โ–ธReasoning model โ€” high latency by design, not for real-time use
  • โ–ธBest for complex math/code reasoning where accuracy > speed
  • โ–ธUse o3-mini when you need reasoning with lower latency

Qwen 2.5-Coder 32B Quirks & Gotchas

  • โ–ธStrong code generation across 40+ languages โ€” excellent for multi-language repos
  • โ–ธAvailable via Alibaba Cloud API or self-hosted