Beam 1.0 vs Gemma 3 4B
Beam 1.0 leads the LLM Stats Score 44.6 to -2.3. Gemma 3 4B is 24.0x cheaper per token.
Reflection AI · Google · Updated for 2026
Which is better?
Beam 1.0 leads the overall LLM Stats Score 44.6 to -2.3, 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.
On price, Gemma 3 4B is roughly 24.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Beam 1.0 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
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 process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Oct 2026
Choose Gemma 3 4B
- cost matters — it's about 24.0x 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 · 26 for Gemma 3 4B
Beam 1.0 outperforms in 2 benchmarks (GPQA, LiveCodeBench), while Gemma 3 4B 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 20.0x more expensive than Gemma 3 4B ($0.02/1M tokens).
For output processing, Beam 1.0 ($1.20/1M tokens) is 30.0x more expensive than Gemma 3 4B ($0.04/1M tokens).
In conclusion, Beam 1.0 is more expensive than Gemma 3 4B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Beam 1.0 has 497.3B more parameters than Gemma 3 4B, making it 12432.5% larger.
Context Window
Maximum input and output token capacity
Beam 1.0 accepts 1,048,576 input tokens compared to Gemma 3 4B's 131,072 tokens. Both models can generate responses up to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Gemma 3 4B supports multimodal inputs, whereas Beam 1.0 does not.
Gemma 3 4B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Beam 1.0
Gemma 3 4B
License
Usage and distribution terms
Beam 1.0 is licensed under Apache 2.0, while Gemma 3 4B uses Gemma.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Gemma
Open weights
Release Timeline
When each model was launched
Beam 1.0 was released on 2026-10-16, while Gemma 3 4B was released on 2025-03-12.
Beam 1.0 is 19 months newer than Gemma 3 4B.
Oct 16, 2026
3 days ago
1.6yr newerMar 12, 2025
1.6 years ago
Knowledge Cutoff
When training data ends
Beam 1.0 has a knowledge cutoff of 2026-06-30, while Gemma 3 4B 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 Gemma 3 4B (2024-08-01).
Jun 2026
1.8 yr newerAug 2024
Provider Availability
Beam 1.0 is available from Together, Reflection AI. Gemma 3 4B is available from DeepInfra.
Beam 1.0
Gemma 3 4B
Outputs Comparison
Judge for yourself.
Run your own prompts against Beam 1.0 and Gemma 3 4B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Beam 1.0 vs Gemma 3 4B.