Beam 1.0 vs Gemma 4 31B
Beam 1.0 leads the LLM Stats Score 44.6 to 32.7. Gemma 4 31B is 3.9x cheaper per token.
Reflection AI · Google · Updated for 2026
Which is better?
Beam 1.0 leads the overall LLM Stats Score 44.6 to 32.7, ranking #46 overall.
In the 3 individual benchmarks reported for both models, Beam 1.0 wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Gemma 4 31B is roughly 3.9x 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 — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 3 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 4 31B
- cost matters — it's about 3.9x 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 · 12 for Gemma 4 31B
Beam 1.0 outperforms in 3 benchmarks (AIME 2026, GPQA, Humanity's Last Exam), while Gemma 4 31B 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 4.4x more expensive than Gemma 4 31B ($0.09/1M tokens).
For output processing, Beam 1.0 ($1.20/1M tokens) is 3.5x more expensive than Gemma 4 31B ($0.34/1M tokens).
In conclusion, Beam 1.0 is more expensive than Gemma 4 31B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Beam 1.0 has 470.6B more parameters than Gemma 4 31B, making it 1532.9% larger.
Context Window
Maximum input and output token capacity
Beam 1.0 accepts 1,048,576 input tokens compared to Gemma 4 31B's 262,144 tokens. Gemma 4 31B can generate longer responses up to 262,144 tokens, while Beam 1.0 is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Gemma 4 31B supports multimodal inputs, whereas Beam 1.0 does not.
Gemma 4 31B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Beam 1.0
Gemma 4 31B
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Beam 1.0 was released on 2026-10-16, while Gemma 4 31B was released on 2026-04-02.
Beam 1.0 is 7 months newer than Gemma 4 31B.
Oct 16, 2026
6 days ago
6mo newerApr 2, 2026
6 months ago
Knowledge Cutoff
When training data ends
Beam 1.0 has a knowledge cutoff of 2026-06-30, while Gemma 4 31B has a cutoff of 2025-01-01.
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 4 31B (2025-01-01).
Jun 2026
1.4 yr newerJan 2025
Provider Availability
Beam 1.0 is available from Together, Reflection AI. Gemma 4 31B is available from DeepInfra, FriendliAI, Novita, Together.
Beam 1.0
Gemma 4 31B
Outputs Comparison
Judge for yourself.
Run your own prompts against Beam 1.0 and Gemma 4 31B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Beam 1.0 vs Gemma 4 31B.