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StarCoder2 15BvsGPT-o3

Hugging Face vs OpenAI — Side-by-side model comparison

GPT-o3 leads 4/5 categories

Head-to-Head Comparison

MetricStarCoder2 15BGPT-o3
Provider
Arena Rank
#2
Context Window
16K
200K
Input Pricing
Free (open)/1M tokens
$2.00/1M tokens
Output Pricing
Free (open)/1M tokens
$8.00/1M tokens
Parameters
15B
Undisclosed
Open Source
Yes
No
Best For
Code completion, code generation, development
Advanced reasoning, agentic tasks, research
Release Date
Feb 28, 2024
Apr 16, 2025

StarCoder2 15B

StarCoder2 15B is a code-focused large language model developed by the BigCode project in collaboration with Hugging Face. Trained on The Stack v2, one of the largest and most ethically sourced code datasets, it supports over 600 programming languages. At 15 billion parameters with a 16K context window, it delivers strong code completion and generation performance while being fully open-source and transparently trained on permissively licensed data.

View Hugging Face profile →

GPT-o3

GPT-o3 is OpenAI's most advanced reasoning model, succeeding o1 as the frontier of deliberative AI. It uses an enhanced chain-of-thought approach where the model spends more compute time 'thinking' before responding, dramatically improving performance on complex STEM, mathematical, and logical reasoning tasks. With a 200K token context window and the ability to use tools during reasoning, o3 represents a significant leap in AI problem-solving capabilities. It achieved state-of-the-art results on the ARC-AGI benchmark, demonstrating near-human performance on novel reasoning challenges. The model is particularly strong at multi-step mathematical proofs, complex code debugging, and scientific analysis where careful step-by-step reasoning is essential. Originally priced at a premium, an 80% price reduction in June 2025 made o3 accessible to a much broader range of developers and applications.

View OpenAI profile →

Key Differences: StarCoder2 15B vs GPT-o3

1

GPT-o3 supports a larger context window (200K), allowing it to process longer documents in a single request.

2

StarCoder2 15B is open-source (free to self-host and fine-tune) while GPT-o3 is proprietary (API-only access).

S

When to use StarCoder2 15B

  • +You need to self-host or fine-tune the model
  • +Your use case involves code completion, code generation, development
View full StarCoder2 15B specs →
G

When to use GPT-o3

  • +You need to process long documents (200K context)
  • +You prefer a managed API without infrastructure overhead
  • +Your use case involves advanced reasoning, agentic tasks, research
View full GPT-o3 specs →

The Verdict

GPT-o3 wins our head-to-head comparison with 4 out of 5 category wins. It's the stronger choice for advanced reasoning, agentic tasks, research, though StarCoder2 15B holds an edge in code completion, code generation, development.

Last compared: March 2026 · Data sourced from public benchmarks and official pricing pages

Frequently Asked Questions

Which is better, StarCoder2 15B or GPT-o3?
In our head-to-head comparison, GPT-o3 leads in 4 out of 5 categories (arena rank, context window, input pricing, output pricing, and parameters). GPT-o3 excels at advanced reasoning, agentic tasks, research, while StarCoder2 15B is better suited for code completion, code generation, development. The best choice depends on your specific requirements, budget, and use case.
How does StarCoder2 15B pricing compare to GPT-o3?
StarCoder2 15B charges Free (open) per 1M input tokens and Free (open) per 1M output tokens. GPT-o3 charges $2.00 per 1M input tokens and $8.00 per 1M output tokens. For high-volume production workloads, the pricing difference can significantly impact total cost of ownership.
What is the context window difference between StarCoder2 15B and GPT-o3?
StarCoder2 15B supports a 16K token context window, while GPT-o3 supports 200K tokens. GPT-o3 can process longer documents, codebases, and conversations in a single request. Context window size matters most for tasks involving long documents, large codebases, or extended conversations.
Can I use StarCoder2 15B or GPT-o3 for free?
StarCoder2 15B is a paid API model starting at Free (open) per 1M input tokens. GPT-o3 is a paid API model starting at $2.00 per 1M input tokens. Open-source models can be self-hosted for free but require your own GPU infrastructure.
Which model has better benchmarks, StarCoder2 15B or GPT-o3?
StarCoder2 15B's arena rank is not yet available, while GPT-o3 holds rank #2. Note that benchmarks don't capture every use case — we recommend testing both models on your specific tasks.
Is StarCoder2 15B or GPT-o3 better for coding?
StarCoder2 15B is specifically optimized for coding tasks. GPT-o3's primary strength is advanced reasoning, agentic tasks, research. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.