Beam 1.0 vs Gemini 1.5 Flash 8B
Beam 1.0 leads the LLM Stats Score 44.6 to -1.2. Gemini 1.5 Flash 8B is 4.7x cheaper per token.
Reflection AI · Google · Updated for 2026
Which is better?
Beam 1.0 leads the overall LLM Stats Score 44.6 to -1.2, 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.
On price, Gemini 1.5 Flash 8B is roughly 4.7x 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 — 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 1.5 Flash 8B
- cost matters — it's about 4.7x cheaper per token
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 1.5 Flash 8B
Beam 1.0 outperforms in 1 benchmarks (GPQA), while Gemini 1.5 Flash 8B 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 5.7x more expensive than Gemini 1.5 Flash 8B ($0.07/1M tokens).
For output processing, Beam 1.0 ($1.20/1M tokens) is 4.0x more expensive than Gemini 1.5 Flash 8B ($0.30/1M tokens).
In conclusion, Beam 1.0 is more expensive than Gemini 1.5 Flash 8B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Beam 1.0 has 493.3B more parameters than Gemini 1.5 Flash 8B, making it 6166.3% larger.
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 1.5 Flash 8B is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 1.5 Flash 8B supports multimodal inputs, whereas Beam 1.0 does not.
Gemini 1.5 Flash 8B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Beam 1.0
Gemini 1.5 Flash 8B
License
Usage and distribution terms
Beam 1.0 is licensed under Apache 2.0, while Gemini 1.5 Flash 8B 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 1.5 Flash 8B was released on 2024-03-15.
Beam 1.0 is 32 months newer than Gemini 1.5 Flash 8B.
Oct 16, 2026
3 days ago
2.6yr newerMar 15, 2024
2.6 years ago
Knowledge Cutoff
When training data ends
Beam 1.0 has a knowledge cutoff of 2026-06-30, while Gemini 1.5 Flash 8B has a cutoff of 2024-10-01.
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 1.5 Flash 8B (2024-10-01).
Jun 2026
1.7 yr newerOct 2024
Provider Availability
Beam 1.0 is available from Together, Reflection AI. Gemini 1.5 Flash 8B is available from Google.
Beam 1.0
Gemini 1.5 Flash 8B
Outputs Comparison
Judge for yourself.
Run your own prompts against Beam 1.0 and Gemini 1.5 Flash 8B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Beam 1.0 vs Gemini 1.5 Flash 8B.