Beam 1.0 vs GLM-5.2
Beam 1.0 and GLM-5.2 are closely matched at 44.6 and 45.0 on the LLM Stats Score. Beam 1.0 is 1.9x cheaper per token.
Reflection AI · Zhipu AI · Updated for 2026
Which is better?
Beam 1.0 and GLM-5.2 are closely matched on the overall LLM Stats Score at 44.6 and 45.0.
In the 8 individual benchmarks reported for both models, GLM-5.2 wins 6; this is a narrower head-to-head signal than the composite indexes.
On price, Beam 1.0 is roughly 1.9x 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
- cost matters — it's about 1.9x cheaper per token
- you want the most recent training data — it shipped Oct 2026
Choose GLM-5.2
- you value its reported benchmark strengths — it wins 6 of 8 exact shared results
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 · 19 for GLM-5.2
Beam 1.0 outperforms in 2 benchmarks (MCP Atlas, SWE-Bench Pro), while GLM-5.2 is better at 6 benchmarks (AIME 2026, CritPT, DeepSWE 1.1, GPQA, Humanity's Last Exam, Terminal-Bench 2.1).
GLM-5.2 shows notably better performance in the majority of 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 1.9x cheaper than GLM-5.2 ($0.75/1M tokens).
For output processing, Beam 1.0 ($1.20/1M tokens) is 2.0x cheaper than GLM-5.2 ($2.40/1M tokens).
In conclusion, GLM-5.2 is more expensive than Beam 1.0.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
GLM-5.2 has 251.7B more parameters than Beam 1.0, making it 50.2% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,048,576 tokens. GLM-5.2 can generate longer responses up to 1,048,576 tokens, while Beam 1.0 is limited to 131,072 tokens.
License
Usage and distribution terms
Beam 1.0 is licensed under Apache 2.0, while GLM-5.2 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-5.2 was released on 2026-06-16.
Beam 1.0 is 4 months newer than GLM-5.2.
Oct 16, 2026
3 days ago
4mo newerJun 16, 2026
4 months ago
Knowledge Cutoff
When training data ends
Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while GLM-5.2'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-5.2's cutoff date.
Jun 2026
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Provider Availability
Beam 1.0 is available from Together, Reflection AI. GLM-5.2 is available from DeepInfra, Fireworks, FriendliAI, Novita, Together, ZAI.
Beam 1.0
GLM-5.2
Outputs Comparison
Judge for yourself.
Run your own prompts against Beam 1.0 and GLM-5.2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Beam 1.0 vs GLM-5.2.