Model Comparison

DeepSeek-V3.2 (Non-thinking) vs Phi 4Which is better in 2026?

Comparing DeepSeek-V3.2 (Non-thinking) and Phi 4 across benchmarks, pricing, and capabilities.

Verdict: DeepSeek-V3.2 (Non-thinking) vs Phi 4 — which is better?

DeepSeek-V3.2 (Non-thinking) (by DeepSeek) 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 3.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V3.2 (Non-thinking) also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.

Choose DeepSeek-V3.2 (Non-thinking) if…

  • you process long inputs — it offers a 131,072 token context window
  • you want the most recent training data — it shipped Dec 2025

Choose Phi 4 if…

  • cost matters — it's about 3.6x cheaper per token

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V3.2 (Non-thinking) 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, DeepSeek-V3.2 (Non-thinking) ($0.28/1M tokens) is 4.0x more expensive than Phi 4 ($0.07/1M tokens).

For output processing, DeepSeek-V3.2 (Non-thinking) ($0.42/1M tokens) is 3.0x more expensive than Phi 4 ($0.14/1M tokens).

In conclusion, DeepSeek-V3.2 (Non-thinking) is more expensive than Phi 4.*

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

Lowest available price from all providers
Sat Jun 27 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2 (Non-thinking)
Input tokens$0.28
Output tokens$0.42
Best providerDeepSeek
Microsoft
Phi 4
Input tokens$0.07
Output tokens$0.14
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

670.3B diff

DeepSeek-V3.2 (Non-thinking) has 670.3B more parameters than Phi 4, making it 4559.9% larger.

DeepSeek
DeepSeek-V3.2 (Non-thinking)
685.0Bparameters
Microsoft
Phi 4
14.7Bparameters
685.0B
DeepSeek-V3.2 (Non-thinking)
14.7B
Phi 4

Context Window

Maximum input and output token capacity

DeepSeek-V3.2 (Non-thinking) accepts 131,072 input tokens compared to Phi 4's 16,000 tokens. Phi 4 can generate longer responses up to 16,000 tokens, while DeepSeek-V3.2 (Non-thinking) is limited to 8,192 tokens.

DeepSeek
DeepSeek-V3.2 (Non-thinking)
Input131,072 tokens
Output8,192 tokens
Microsoft
Phi 4
Input16,000 tokens
Output16,000 tokens
Sat Jun 27 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

DeepSeek-V3.2 (Non-thinking)

MIT

Open weights

Phi 4

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2 (Non-thinking) was released on 2025-12-01, while Phi 4 was released on 2024-12-12.

DeepSeek-V3.2 (Non-thinking) is 12 months newer than Phi 4.

DeepSeek-V3.2 (Non-thinking)

Dec 1, 2025

6 months ago

11mo newer
Phi 4

Dec 12, 2024

1.5 years ago

Knowledge Cutoff

When training data ends

Phi 4 has a documented knowledge cutoff of 2024-06-01, while DeepSeek-V3.2 (Non-thinking)'s cutoff date is not specified.

We can confirm Phi 4's training data extends to 2024-06-01, but cannot make a direct comparison without DeepSeek-V3.2 (Non-thinking)'s cutoff date.

DeepSeek-V3.2 (Non-thinking)

—

Phi 4

Jun 2024

Provider Availability

DeepSeek-V3.2 (Non-thinking) is available from DeepSeek. Phi 4 is available from DeepInfra.

DeepSeek-V3.2 (Non-thinking)

deepseek logo
DeepSeek
Input Price:Input: $0.28/1MOutput Price:Output: $0.42/1M

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

DeepSeek
Larger context window (131,072 tokens)
Microsoft
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-V3.2 (Non-thinking) and Phi 4 side-by-side, then vote on the output you prefer.

DeepSeek-V3.2 (Non-thinking)
✓ Preferred
Phi 4
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2 (Non-thinking)
Microsoft
Phi 4

FAQ

Common questions about DeepSeek-V3.2 (Non-thinking) vs Phi 4.

Which is better, DeepSeek-V3.2 (Non-thinking) or Phi 4?

DeepSeek-V3.2 (Non-thinking) (DeepSeek) 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 DeepSeek-V3.2 (Non-thinking) 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 DeepSeek-V3.2 (Non-thinking) cheaper than Phi 4?

Phi 4 is 4.0x cheaper for input tokens. DeepSeek-V3.2 (Non-thinking) costs $0.28/M input and $0.42/M output via deepseek. Phi 4 costs $0.07/M input and $0.14/M output via deepinfra.

What are the context window sizes for DeepSeek-V3.2 (Non-thinking) and Phi 4?

DeepSeek-V3.2 (Non-thinking) supports 131K 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 DeepSeek-V3.2 (Non-thinking) and Phi 4?

Key differences include context window (131K vs 16K), input pricing ($0.28 vs $0.07/M). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.2 (Non-thinking) and Phi 4?

DeepSeek-V3.2 (Non-thinking) is developed by DeepSeek and Phi 4 is developed by Microsoft.

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