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o1 vs Qwen2.5 Coder 32B Instruct

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 Qwen2.5 Coder 32B Instruct.

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...

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Alibaba

Qwen2.5 Coder 32B Instruct

Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Significantly improvements in **code generation**, **code reasoning**...

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Technical Specifications

Specificationo1Qwen2.5 Coder 32B Instruct
ProviderOpenAIAlibaba
Context Window200,000 tokens128,000 tokens
Agent Suitability88/100N/A
Time to First Token (TTFT)2500 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-12-172024-11-11

API Pricing Comparison

Input Price per Million Tokens

o1

$15.00

Qwen2.5 Coder 32B Instruct

$0.66

Output Price per Million Tokens

o1

$60.00

Qwen2.5 Coder 32B Instruct

$1.00

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%vs8120.0%
o1
Qwen2.5 Coder 32B Instruct
HumanEvalPython coding & logic synthesis
9450.0%vs9150.0%
o1
Qwen2.5 Coder 32B Instruct
MATHComplex mathematical problem solving
9480.0%vs6800.0%
o1
Qwen2.5 Coder 32B Instruct
GPQAGraduate-level expert reasoning
7830.0%vs4050.0%
o1
Qwen2.5 Coder 32B Instruct
HellaSwagCommonsense reasoning and inference
9200.0%vs8400.0%
o1
Qwen2.5 Coder 32B Instruct
MT-BenchMulti-turn conversation flow quality
940.0%vs885.0%
o1
Qwen2.5 Coder 32B Instruct

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

Qwen2.5 Coder 32B Instruct Quirks & Gotchas

No developer gotchas reported.