Beam 1.0 vs GLM-4.6
Beam 1.0 leads the LLM Stats Score 44.6 to 28.5. Beam 1.0 is 1.5x cheaper per token.
Reflection AI · Zhipu AI · Updated for 2026
Which is better?
Beam 1.0 leads the overall LLM Stats Score 44.6 to 28.5, 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 1.5x 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 4 of 4 exact shared results
- cost matters — it's about 1.5x cheaper per token
- 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 GLM-4.6
- you want predictable pricing at $0.50/M input and $2.00/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 · 7 for GLM-4.6
Beam 1.0 outperforms in 4 benchmarks (BrowseComp, GPQA, Humanity's Last Exam, SWE-Bench Verified), while GLM-4.6 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 1.3x cheaper than GLM-4.6 ($0.50/1M tokens).
For output processing, Beam 1.0 ($1.20/1M tokens) is 1.7x cheaper than GLM-4.6 ($2.00/1M tokens).
In conclusion, GLM-4.6 is more expensive than Beam 1.0.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Beam 1.0 has 144.3B more parameters than GLM-4.6, making it 40.4% larger.
Context Window
Maximum input and output token capacity
Beam 1.0 accepts 1,048,576 input tokens compared to GLM-4.6's 202,752 tokens. GLM-4.6 can generate longer responses up to 202,752 tokens, while Beam 1.0 is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
GLM-4.6 supports multimodal inputs, whereas Beam 1.0 does not.
GLM-4.6 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Beam 1.0
GLM-4.6
License
Usage and distribution terms
Beam 1.0 is licensed under Apache 2.0, while GLM-4.6 uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Beam 1.0 was released on 2026-10-16, while GLM-4.6 was released on 2025-09-30.
Beam 1.0 is 13 months newer than GLM-4.6.
Oct 16, 2026
4 days ago
1.0yr newerSep 30, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while GLM-4.6's cutoff date is not specified.
We can confirm Beam 1.0's training data extends to 2026-06-30, but cannot make a direct comparison without GLM-4.6's cutoff date.
Jun 2026
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Provider Availability
Beam 1.0 is available from Together, Reflection AI. GLM-4.6 is available from DeepInfra, Fireworks.
Beam 1.0
GLM-4.6
Outputs Comparison
Judge for yourself.
Run your own prompts against Beam 1.0 and GLM-4.6 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Beam 1.0 vs GLM-4.6.