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Phi 4 vs Phi 4 Mini

Phi 4 leads the LLM Stats Score 6.0 to -3.6.

Microsoft · Microsoft · Updated for 2026

Which is better?

Phi 4 leads the overall LLM Stats Score 6.0 to -3.6, ranking #274 overall.

In the 6 individual benchmarks reported for both models, Phi 4 wins 6; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Phi 4

  • overall performance matters — it scores 6.0 and ranks #274 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 6 of 6 exact shared results

Choose Phi 4 Mini

  • you want the most recent training data — it shipped Feb 2025

At a glance

The differences that matter most.

Core performance indexes
6.0
#274
-3.6
#325
7.1
#265
-3.7
#319
Cost, coverage & limits
Benchmark wins
6 of 6
0 of 6
Input price
$0.07 / M
— / M
Output price
$0.14 / M
— / M
Context window
16,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Phi 4
Phi 4 Mini
13.2#216
2.8#276
13.2#126
1.7#175
13.2#111
1.7#163
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Phi 4 · 17 for Phi 4 Mini

6 shared

Phi 4 outperforms in 6 benchmarks (Arena Hard, GPQA, MATH, MGSM, MMLU, MMLU-Pro), while Phi 4 Mini is better at 0 benchmarks.

Phi 4 significantly outperforms across most benchmarks.

Fri Aug 28 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

10.9B diff

Phi 4 has 10.9B more parameters than Phi 4 Mini, making it 282.8% larger.

Microsoft
Phi 4
14.7Bparameters
Microsoft
Phi 4 Mini
3.8Bparameters
14.7B
Phi 4
3.8B
Phi 4 Mini

Context Window

Maximum input and output token capacity

Only Phi 4 specifies input context (16,000 tokens). Only Phi 4 specifies output context (16,000 tokens).

Microsoft
Phi 4
Input16,000 tokens
Output16,000 tokens
Microsoft
Phi 4 Mini
Input- tokens
Output- tokens
Fri Aug 28 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.

Phi 4

MIT

Open weights

Phi 4 Mini

MIT

Open weights

Release Timeline

When each model was launched

Phi 4 was released on 2024-12-12, while Phi 4 Mini was released on 2025-02-01.

Phi 4 Mini is 2 months newer than Phi 4.

Phi 4

Dec 12, 2024

1.7 years ago

Phi 4 Mini

Feb 1, 2025

1.6 years ago

1mo newer

Knowledge Cutoff

When training data ends

Both models have the same knowledge cutoff date of 2024-06-01.

They should have similar awareness of historical events and information up to this date.

Phi 4

Jun 2024

Phi 4 Mini

Jun 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

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

Phi 4
✓ Preferred
Phi 4 Mini
Open in Playground

FAQ

Common questions about Phi 4 vs Phi 4 Mini.

Which is better, Phi 4 or Phi 4 Mini?

Phi 4 leads the LLM Stats Score 6.0 to -3.6. Phi 4 is made by Microsoft and Phi 4 Mini is made by Microsoft. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Phi 4 compare to Phi 4 Mini in benchmarks?

Phi 4 scores MMLU: 84.8%, HumanEval+: 82.8%, HumanEval: 82.6%, MGSM: 80.6%, MATH: 80.4%. Phi 4 Mini scores GSM8k: 88.6%, ARC-C: 83.7%, BoolQ: 81.2%, OpenBookQA: 79.2%, PIQA: 77.6%.

What are the context window sizes for Phi 4 and Phi 4 Mini?

Phi 4 supports 16K tokens and Phi 4 Mini supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Phi 4 and Phi 4 Mini?

Key differences include LLM Stats Score (6.0 vs -3.6). See the full comparison above for benchmark-by-benchmark results.