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Beam 1.0 vs Nemotron Nano 9B v2

Beam 1.0 leads the LLM Stats Score 44.6 to 17.9.

Reflection AI · NVIDIA · Updated for 2026

Which is better?

Beam 1.0 leads the overall LLM Stats Score 44.6 to 17.9, ranking #46 overall.

In the 2 individual benchmarks reported for both models, Beam 1.0 wins 2; 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 and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Oct 2026

Choose Nemotron Nano 9B v2

  • you are already invested in the NVIDIA ecosystem

At a glance

The differences that matter most.

Beam 1.0
Reflection AI
Nemotron Nano 9B v2
NVIDIA
Core performance indexes
LLM Stats Score
44.6
#46
17.9
#238
Reasoning
45.5
#37
16.7
#237
Coding
33.7
#39
14.3
#155
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$0.40 / M
— / M
Output price
$1.20 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Beam 1.0
Nemotron Nano 9B v2
Math
35.1#45
16.4#217
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Beam 1.0 · 6 for Nemotron Nano 9B v2

2 shared

Beam 1.0 outperforms in 2 benchmarks (GPQA, LiveCodeBench), while Nemotron Nano 9B v2 is better at 0 benchmarks.

Beam 1.0 significantly outperforms across most benchmarks.

Thu Oct 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

492.4B diff

Beam 1.0 has 492.4B more parameters than Nemotron Nano 9B v2, making it 5532.6% larger.

Reflection AI
Beam 1.0
501.3Bparameters
NVIDIA
Nemotron Nano 9B v2
8.9Bparameters
501.3B
Beam 1.0
8.9B
Nemotron Nano 9B v2

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
NVIDIA
Nemotron Nano 9B v2
Input- tokens
Output- tokens
Thu Oct 22 2026 • llm-stats.com

License

Usage and distribution terms

Beam 1.0 is licensed under Apache 2.0, while Nemotron Nano 9B v2 uses NVIDIA Open Model License Agreement .

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

Beam 1.0

Apache 2.0

Open weights

Nemotron Nano 9B v2

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

Beam 1.0 was released on 2026-10-16, while Nemotron Nano 9B v2 was released on 2025-08-18.

Beam 1.0 is 14 months newer than Nemotron Nano 9B v2.

Beam 1.0

Oct 16, 2026

4 days ago

1.2yr newer
Nemotron Nano 9B v2

Aug 18, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Beam 1.0 has a knowledge cutoff of 2026-06-30, while Nemotron Nano 9B v2 has a cutoff of 2024-09-01.

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 Nemotron Nano 9B v2 (2024-09-01).

Beam 1.0

Jun 2026

1.8 yr newer
Nemotron Nano 9B v2

Sep 2024

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Beam 1.0 and Nemotron Nano 9B v2 side-by-side, then vote on the output you prefer.

Beam 1.0
✓ Preferred
Nemotron Nano 9B v2
Open in Playground

FAQ

Common questions about Beam 1.0 vs Nemotron Nano 9B v2.

Which is better, Beam 1.0 or Nemotron Nano 9B v2?

Beam 1.0 leads the LLM Stats Score 44.6 to 17.9. Beam 1.0 is made by Reflection AI and Nemotron Nano 9B v2 is made by NVIDIA. 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 Nemotron Nano 9B v2 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%. Nemotron Nano 9B v2 scores MATH-500: 97.8%, IFEval: 90.3%, AIME 2025: 72.1%, LiveCodeBench: 71.1%, BFCL_v3_MultiTurn: 66.9%.

What are the context window sizes for Beam 1.0 and Nemotron Nano 9B v2?

Beam 1.0 supports 1.0M tokens and Nemotron Nano 9B v2 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 Nemotron Nano 9B v2?

Key differences include LLM Stats Score (44.6 vs 17.9), licensing (Apache 2.0 vs NVIDIA Open Model License Agreement ). See the full comparison above for benchmark-by-benchmark results.

Who makes Beam 1.0 and Nemotron Nano 9B v2?

Beam 1.0 is developed by Reflection AI and Nemotron Nano 9B v2 is developed by NVIDIA.

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