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Beam 1.0 vs Phi 4 Mini Reasoning

Beam 1.0 leads the LLM Stats Score 44.6 to 6.6.

Reflection AI · Microsoft · Updated for 2026

Which is better?

Beam 1.0 leads the overall LLM Stats Score 44.6 to 6.6, ranking #46 overall.

In the 1 individual benchmarks reported for both models, Beam 1.0 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 Beam 1.0

  • overall performance matters — it scores 44.6 and ranks #46 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Oct 2026

Choose Phi 4 Mini Reasoning

  • you are already invested in the Microsoft ecosystem

At a glance

The differences that matter most.

Beam 1.0
Reflection AI
Phi 4 Mini Reasoning
Microsoft
Core performance indexes
LLM Stats Score
44.6
#46
6.6
#315
Reasoning
45.5
#37
7.0
#306
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.40 / M
— / M
Output price
$1.20 / M
— / M
Context window
1,048,576
—

Individual benchmarks

22 reported for Beam 1.0 · 3 for Phi 4 Mini Reasoning

1 shared

Beam 1.0 outperforms in 1 benchmarks (GPQA), while Phi 4 Mini Reasoning is better at 0 benchmarks.

Beam 1.0 significantly outperforms across most benchmarks.

Fri Oct 23 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

497.5B diff

Beam 1.0 has 497.5B more parameters than Phi 4 Mini Reasoning, making it 13092.1% larger.

Reflection AI
Beam 1.0
501.3Bparameters
Microsoft
Phi 4 Mini Reasoning
3.8Bparameters
501.3B
Beam 1.0
3.8B
Phi 4 Mini Reasoning

Context Window

Maximum input and output token capacity

Only Beam 1.0 specifies input context (1,048,576 tokens). Only Beam 1.0 specifies output context (131,072 tokens).

Reflection AI
Beam 1.0
Input1,048,576 tokens
Output131,072 tokens
Microsoft
Phi 4 Mini Reasoning
Input- tokens
Output- tokens
Fri Oct 23 2026 • llm-stats.com

License

Usage and distribution terms

Beam 1.0 is licensed under Apache 2.0, while Phi 4 Mini Reasoning uses MIT.

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

Beam 1.0

Apache 2.0

Open weights

Phi 4 Mini Reasoning

MIT

Open weights

Release Timeline

When each model was launched

Beam 1.0 was released on 2026-10-16, while Phi 4 Mini Reasoning was released on 2025-04-30.

Beam 1.0 is 18 months newer than Phi 4 Mini Reasoning.

Beam 1.0

Oct 16, 2026

3 days ago

1.5yr newer
Phi 4 Mini Reasoning

Apr 30, 2025

1.5 years ago

Knowledge Cutoff

When training data ends

Beam 1.0 has a knowledge cutoff of 2026-06-30, while Phi 4 Mini Reasoning has a cutoff of 2025-02-01.

Beam 1.0 has more recent training data (up to 2026-06-30), making it potentially better informed about events through that date compared to Phi 4 Mini Reasoning (2025-02-01).

Beam 1.0

Jun 2026

1.3 yr newer
Phi 4 Mini Reasoning

Feb 2025

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Beam 1.0 and Phi 4 Mini Reasoning side-by-side, then vote on the output you prefer.

Beam 1.0
✓ Preferred
Phi 4 Mini Reasoning
Open in Playground

FAQ

Common questions about Beam 1.0 vs Phi 4 Mini Reasoning.

Which is better, Beam 1.0 or Phi 4 Mini Reasoning?

Beam 1.0 leads the LLM Stats Score 44.6 to 6.6. Beam 1.0 is made by Reflection AI and Phi 4 Mini Reasoning is made by Microsoft. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Beam 1.0 compare to Phi 4 Mini Reasoning in benchmarks?

Beam 1.0 scores AIME 2026: 97.7%, GPQA: 90.6%, LiveCodeBench: 88.3%, SWE-Bench Verified: 81.6%, MCP Atlas: 80.8%. Phi 4 Mini Reasoning scores MATH-500: 94.6%, AIME: 57.5%, GPQA: 52.0%.

What are the context window sizes for Beam 1.0 and Phi 4 Mini Reasoning?

Beam 1.0 supports 1.0M tokens and Phi 4 Mini Reasoning 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 Beam 1.0 and Phi 4 Mini Reasoning?

Key differences include LLM Stats Score (44.6 vs 6.6), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Beam 1.0 and Phi 4 Mini Reasoning?

Beam 1.0 is developed by Reflection AI and Phi 4 Mini Reasoning is developed by Microsoft.

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