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DeepSeek R1 Distill Qwen 1.5B vs Phi 4

DeepSeek R1 Distill Qwen 1.5B and Phi 4 are closely matched at -3.0 and 5.4 on the LLM Stats Score.

DeepSeek · Microsoft · Updated for 2026

Which is better?

DeepSeek R1 Distill Qwen 1.5B and Phi 4 are closely matched on the overall LLM Stats Score at -3.0 and 5.4.

In the 1 individual benchmarks reported for both models, Phi 4 wins 1; 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 DeepSeek R1 Distill Qwen 1.5B

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

Choose Phi 4

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

At a glance

The differences that matter most.

Core performance indexes
-3.0
#348
5.4
#302
-2.6
#338
6.5
#293
-4.6
#265
3.4
#223
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.07 / M
Output price
— / M
$0.14 / M
Context window
—
16,384

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Qwen 1.5B
Phi 4
5.4#272
12.8#231
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 1.5B · 13 for Phi 4

1 shared

DeepSeek R1 Distill Qwen 1.5B outperforms in 0 benchmarks, while Phi 4 is better at 1 benchmark (GPQA).

Phi 4 significantly outperforms across most benchmarks.

Sat Sep 26 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

12.9B diff

Phi 4 has 12.9B more parameters than DeepSeek R1 Distill Qwen 1.5B, making it 725.8% larger.

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
1.8Bparameters
Microsoft
Phi 4
14.7Bparameters
1.8B
DeepSeek R1 Distill Qwen 1.5B
14.7B
Phi 4

Context Window

Maximum input and output token capacity

Only Phi 4 specifies input context (16,384 tokens). Only Phi 4 specifies output context (16,384 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Input- tokens
Output- tokens
Microsoft
Phi 4
Input16,384 tokens
Output16,384 tokens
Sat Sep 26 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 R1 Distill Qwen 1.5B

MIT

Open weights

Phi 4

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 1.5B was released on 2025-01-20, while Phi 4 was released on 2024-12-12.

DeepSeek R1 Distill Qwen 1.5B is 1 month newer than Phi 4.

DeepSeek R1 Distill Qwen 1.5B

Jan 20, 2025

1.7 years ago

1mo newer
Phi 4

Dec 12, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

Phi 4 has a documented knowledge cutoff of 2024-06-01, while DeepSeek R1 Distill Qwen 1.5B'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 R1 Distill Qwen 1.5B's cutoff date.

DeepSeek R1 Distill Qwen 1.5B

—

Phi 4

Jun 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Qwen 1.5B and Phi 4 side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 1.5B
✓ Preferred
Phi 4
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 1.5B vs Phi 4.

Which is better, DeepSeek R1 Distill Qwen 1.5B or Phi 4?

DeepSeek R1 Distill Qwen 1.5B and Phi 4 are closely matched on the LLM Stats Score at -3.0 and 5.4. DeepSeek R1 Distill Qwen 1.5B is made by DeepSeek and Phi 4 is made by Microsoft. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek R1 Distill Qwen 1.5B compare to Phi 4 in benchmarks?

DeepSeek R1 Distill Qwen 1.5B scores MATH-500: 83.9%, AIME 2024: 52.7%, GPQA: 33.8%, LiveCodeBench: 16.9%. Phi 4 scores MMLU: 84.8%, HumanEval+: 82.8%, HumanEval: 82.6%, MGSM: 80.6%, MATH: 80.4%.

What are the context window sizes for DeepSeek R1 Distill Qwen 1.5B and Phi 4?

DeepSeek R1 Distill Qwen 1.5B supports an unknown number of 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 R1 Distill Qwen 1.5B and Phi 4?

Key differences include LLM Stats Score (-3.0 vs 5.4). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Qwen 1.5B and Phi 4?

DeepSeek R1 Distill Qwen 1.5B is developed by DeepSeek and Phi 4 is developed by Microsoft.