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Beam 1.0 vs MiniStral 3 (14B Instruct 2512)

Beam 1.0 leads the LLM Stats Score 44.6 to 9.8.

Reflection AI · Mistral AI · Updated for 2026

Which is better?

Beam 1.0 leads the overall LLM Stats Score 44.6 to 9.8, ranking #46 overall.

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 want the most recent training data — it shipped Oct 2026

Choose MiniStral 3 (14B Instruct 2512)

  • you are already invested in the Mistral AI ecosystem

At a glance

The differences that matter most.

Beam 1.0
Reflection AI
MiniStral 3 (14B Instruct 2512)
Mistral AI
Core performance indexes
LLM Stats Score
44.6
#46
9.8
#291
Reasoning
45.5
#37
11.6
#273
Cost, coverage & limits
Benchmark wins
—
—
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 · 4 for MiniStral 3 (14B Instruct 2512)

No common benchmarks found

Beam 1.0 and MiniStral 3 (14B Instruct 2512)don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

487.3B diff

Beam 1.0 has 487.3B more parameters than MiniStral 3 (14B Instruct 2512), making it 3480.7% larger.

Reflection AI
Beam 1.0
501.3Bparameters
Mistral AI
MiniStral 3 (14B Instruct 2512)
14.0Bparameters
501.3B
Beam 1.0
14.0B
MiniStral 3 (14B Instruct 2512)

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
Mistral AI
MiniStral 3 (14B Instruct 2512)
Input- tokens
Output- tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

MiniStral 3 (14B Instruct 2512) supports multimodal inputs, whereas Beam 1.0 does not.

MiniStral 3 (14B Instruct 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.

Beam 1.0

Text
Images
Audio
Video

MiniStral 3 (14B Instruct 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

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

Beam 1.0

Apache 2.0

Open weights

MiniStral 3 (14B Instruct 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Beam 1.0 was released on 2026-10-16, while MiniStral 3 (14B Instruct 2512) was released on 2025-12-04.

Beam 1.0 is 11 months newer than MiniStral 3 (14B Instruct 2512).

Beam 1.0

Oct 16, 2026

4 days ago

10mo newer
MiniStral 3 (14B Instruct 2512)

Dec 4, 2025

10 months ago

Knowledge Cutoff

When training data ends

Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while MiniStral 3 (14B Instruct 2512)'s cutoff date is not specified.

We can confirm Beam 1.0's training data extends to 2026-06-30, but cannot make a direct comparison without MiniStral 3 (14B Instruct 2512)'s cutoff date.

Beam 1.0

Jun 2026

MiniStral 3 (14B Instruct 2512)

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Beam 1.0 and MiniStral 3 (14B Instruct 2512) side-by-side, then vote on the output you prefer.

Beam 1.0
✓ Preferred
MiniStral 3 (14B Instruct 2512)
Open in Playground

FAQ

Common questions about Beam 1.0 vs MiniStral 3 (14B Instruct 2512).

Which is better, Beam 1.0 or MiniStral 3 (14B Instruct 2512)?

Beam 1.0 leads the LLM Stats Score 44.6 to 9.8. Beam 1.0 is made by Reflection AI and MiniStral 3 (14B Instruct 2512) is made by Mistral AI. 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 MiniStral 3 (14B Instruct 2512) 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%. MiniStral 3 (14B Instruct 2512) scores MATH: 90.4%, Wild Bench: 68.5%, Arena Hard: 55.1%, MM-MT-Bench: 8.5%.

What are the context window sizes for Beam 1.0 and MiniStral 3 (14B Instruct 2512)?

Beam 1.0 supports 1.0M tokens and MiniStral 3 (14B Instruct 2512) 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 MiniStral 3 (14B Instruct 2512)?

Key differences include LLM Stats Score (44.6 vs 9.8), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Beam 1.0 and MiniStral 3 (14B Instruct 2512)?

Beam 1.0 is developed by Reflection AI and MiniStral 3 (14B Instruct 2512) is developed by Mistral AI.

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