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Beam 1.0 vs Gemini 2.0 Flash Thinking

Beam 1.0 leads the LLM Stats Score 44.6 to 16.3.

Reflection AI · Google · Updated for 2026

Which is better?

Beam 1.0 leads the overall LLM Stats Score 44.6 to 16.3, 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
  • you need open weights you can self-host or fine-tune

Choose Gemini 2.0 Flash Thinking

  • you are already invested in the Google ecosystem

At a glance

The differences that matter most.

Beam 1.0
Reflection AI
Gemini 2.0 Flash Thinking
Google
Core performance indexes
LLM Stats Score
44.6
#46
16.3
#245
Reasoning
45.5
#37
16.6
#238
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 Gemini 2.0 Flash Thinking

1 shared

Beam 1.0 outperforms in 1 benchmarks (GPQA), while Gemini 2.0 Flash Thinking 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

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
Google
Gemini 2.0 Flash Thinking
Input- tokens
Output- tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 2.0 Flash Thinking supports multimodal inputs, whereas Beam 1.0 does not.

Gemini 2.0 Flash Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

Beam 1.0

Text
Images
Audio
Video

Gemini 2.0 Flash Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Beam 1.0 is licensed under Apache 2.0, while Gemini 2.0 Flash Thinking uses a proprietary license.

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

Beam 1.0

Apache 2.0

Open weights

Gemini 2.0 Flash Thinking

Proprietary

Closed source

Release Timeline

When each model was launched

Beam 1.0 was released on 2026-10-16, while Gemini 2.0 Flash Thinking was released on 2025-01-21.

Beam 1.0 is 21 months newer than Gemini 2.0 Flash Thinking.

Beam 1.0

Oct 16, 2026

3 days ago

1.7yr newer
Gemini 2.0 Flash Thinking

Jan 21, 2025

1.7 years ago

Knowledge Cutoff

When training data ends

Beam 1.0 has a knowledge cutoff of 2026-06-30, while Gemini 2.0 Flash Thinking has a cutoff of 2024-08-01.

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 Gemini 2.0 Flash Thinking (2024-08-01).

Beam 1.0

Jun 2026

1.8 yr newer
Gemini 2.0 Flash Thinking

Aug 2024

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Beam 1.0 and Gemini 2.0 Flash Thinking side-by-side, then vote on the output you prefer.

Beam 1.0
✓ Preferred
Gemini 2.0 Flash Thinking
Open in Playground

FAQ

Common questions about Beam 1.0 vs Gemini 2.0 Flash Thinking.

Which is better, Beam 1.0 or Gemini 2.0 Flash Thinking?

Beam 1.0 leads the LLM Stats Score 44.6 to 16.3. Beam 1.0 is made by Reflection AI and Gemini 2.0 Flash Thinking is made by Google. 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 Gemini 2.0 Flash Thinking 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%. Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%.

What are the context window sizes for Beam 1.0 and Gemini 2.0 Flash Thinking?

Beam 1.0 supports 1.0M tokens and Gemini 2.0 Flash Thinking 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 Gemini 2.0 Flash Thinking?

Key differences include LLM Stats Score (44.6 vs 16.3), multimodal support (no vs yes), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Beam 1.0 and Gemini 2.0 Flash Thinking?

Beam 1.0 is developed by Reflection AI and Gemini 2.0 Flash Thinking is developed by Google.

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