Beam 1.0 vs Gemini 2.5 Pro Preview 06-05
Beam 1.0 leads the LLM Stats Score 44.6 to 29.5. Beam 1.0 is 5.7x cheaper per token.
Reflection AI · Google · Updated for 2026
Which is better?
Beam 1.0 leads the overall LLM Stats Score 44.6 to 29.5, ranking #46 overall.
In the 4 individual benchmarks reported for both models, Beam 1.0 wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, Beam 1.0 is roughly 5.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
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 4 of 4 exact shared results
- cost matters — it's about 5.7x cheaper per token
- you want the most recent training data — it shipped Oct 2026
- you need open weights you can self-host or fine-tune
Choose Gemini 2.5 Pro Preview 06-05
- you want predictable pricing at $1.25/M input and $10.00/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
22 reported for Beam 1.0 · 13 for Gemini 2.5 Pro Preview 06-05
Beam 1.0 outperforms in 4 benchmarks (GPQA, Humanity's Last Exam, LiveCodeBench, SWE-Bench Verified), while Gemini 2.5 Pro Preview 06-05 is better at 0 benchmarks.
Beam 1.0 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Beam 1.0 ($0.40/1M tokens) is 3.1x cheaper than Gemini 2.5 Pro Preview 06-05 ($1.25/1M tokens).
For output processing, Beam 1.0 ($1.20/1M tokens) is 8.3x cheaper than Gemini 2.5 Pro Preview 06-05 ($10.00/1M tokens).
In conclusion, Gemini 2.5 Pro Preview 06-05 is more expensive than Beam 1.0.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,048,576 tokens. Beam 1.0 can generate longer responses up to 131,072 tokens, while Gemini 2.5 Pro Preview 06-05 is limited to 65,535 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 2.5 Pro Preview 06-05 supports multimodal inputs, whereas Beam 1.0 does not.
Gemini 2.5 Pro Preview 06-05 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Beam 1.0
Gemini 2.5 Pro Preview 06-05
License
Usage and distribution terms
Beam 1.0 is licensed under Apache 2.0, while Gemini 2.5 Pro Preview 06-05 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Beam 1.0 was released on 2026-10-16, while Gemini 2.5 Pro Preview 06-05 was released on 2025-06-05.
Beam 1.0 is 17 months newer than Gemini 2.5 Pro Preview 06-05.
Oct 16, 2026
3 days ago
1.4yr newerJun 5, 2025
1.4 years ago
Knowledge Cutoff
When training data ends
Beam 1.0 has a knowledge cutoff of 2026-06-30, while Gemini 2.5 Pro Preview 06-05 has a cutoff of 2025-01-31.
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 2.5 Pro Preview 06-05 (2025-01-31).
Jun 2026
1.4 yr newerJan 2025
Provider Availability
Beam 1.0 is available from Together, Reflection AI. Gemini 2.5 Pro Preview 06-05 is available from Google.
Beam 1.0
Gemini 2.5 Pro Preview 06-05
Outputs Comparison
Judge for yourself.
Run your own prompts against Beam 1.0 and Gemini 2.5 Pro Preview 06-05 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Beam 1.0 vs Gemini 2.5 Pro Preview 06-05.
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