Model Comparison

o3-pro vs Phi 4Which is better in 2026?

Comparing o3-pro and Phi 4 across benchmarks, pricing, and capabilities.

Verdict: o3-pro vs Phi 4 — which is better?

o3-pro (by OpenAI) and Phi 4 (by Microsoft) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

On price, Phi 4 is roughly 400.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

o3-pro also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose o3-pro if…

  • you process long inputs — it offers a 200,000 token context window
  • you want the most recent training data — it shipped Jun 2025

Choose Phi 4 if…

  • cost matters — it's about 400.0x cheaper per token
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

o3-pro and Phi 4don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Phi 4 costs less

For input processing, o3-pro ($20.00/1M tokens) is 285.7x more expensive than Phi 4 ($0.07/1M tokens).

For output processing, o3-pro ($80.00/1M tokens) is 571.4x more expensive than Phi 4 ($0.14/1M tokens).

In conclusion, o3-pro is more expensive than Phi 4.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Jul 28 2026 • llm-stats.com
OpenAI
o3-pro
Input tokens$20.00
Output tokens$80.00
Best providerOpenAI
Microsoft
Phi 4
Input tokens$0.07
Output tokens$0.14
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

o3-pro accepts 200,000 input tokens compared to Phi 4's 16,000 tokens. o3-pro can generate longer responses up to 100,000 tokens, while Phi 4 is limited to 16,000 tokens.

OpenAI
o3-pro
Input200,000 tokens
Output100,000 tokens
Microsoft
Phi 4
Input16,000 tokens
Output16,000 tokens
Tue Jul 28 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

o3-pro supports multimodal inputs, whereas Phi 4 does not.

o3-pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

o3-pro

Text
Images
Audio
Video

Phi 4

Text
Images
Audio
Video

License

Usage and distribution terms

o3-pro is licensed under a proprietary license, while Phi 4 uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

o3-pro

Proprietary

Closed source

Phi 4

MIT

Open weights

Release Timeline

When each model was launched

o3-pro was released on 2025-06-10, while Phi 4 was released on 2024-12-12.

o3-pro is 6 months newer than Phi 4.

o3-pro

Jun 10, 2025

1.1 years ago

6mo newer
Phi 4

Dec 12, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

o3-pro has a knowledge cutoff of 2024-05-31, while Phi 4 has a cutoff of 2024-06-01.

Phi 4 has more recent training data (up to 2024-06-01), making it potentially better informed about events through that date compared to o3-pro (2024-05-31).

o3-pro

May 2024

Phi 4

Jun 2024

1 mo newer

Provider Availability

o3-pro is available from OpenAI. Phi 4 is available from DeepInfra.

o3-pro

openai logo
OpenAI
Input Price:Input: $20.00/1MOutput Price:Output: $80.00/1M

Phi 4

deepinfra logo
Deepinfra
Input Price:Input: $0.07/1MOutput Price:Output: $0.14/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Larger context window (200,000 tokens)
Supports multimodal inputs
Microsoft
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against o3-pro and Phi 4 side-by-side, then vote on the output you prefer.

o3-pro
✓ Preferred
Phi 4
Open in Playground
AI Model Comparison Table
Feature
OpenAI
o3-pro
Microsoft
Phi 4

FAQ

Common questions about o3-pro vs Phi 4.

Which is better, o3-pro or Phi 4?

o3-pro (OpenAI) and Phi 4 (Microsoft) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does o3-pro compare to Phi 4 in benchmarks?

Phi 4 scores MMLU: 84.8%, HumanEval+: 82.8%, HumanEval: 82.6%, MGSM: 80.6%, MATH: 80.4%.

Is o3-pro cheaper than Phi 4?

Phi 4 is 285.7x cheaper for input tokens. o3-pro costs $20.00/M input and $80.00/M output via openai. Phi 4 costs $0.07/M input and $0.14/M output via deepinfra.

What are the context window sizes for o3-pro and Phi 4?

o3-pro supports 200K tokens and Phi 4 supports 16K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between o3-pro and Phi 4?

Key differences include context window (200K vs 16K), input pricing ($20.00 vs $0.07/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes o3-pro and Phi 4?

o3-pro is developed by OpenAI and Phi 4 is developed by Microsoft.

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