Beam 1.0 vs Hy3
Beam 1.0 and Hy3 are closely matched at 44.6 and 42.5 on the LLM Stats Score. Hy3 is 2.4x cheaper per token.
Reflection AI · Tencent · Updated for 2026
Which is better?
Beam 1.0 and Hy3 are closely matched on the overall LLM Stats Score at 44.6 and 42.5.
In the 9 individual benchmarks reported for both models, Beam 1.0 wins 7; this is a narrower head-to-head signal than the composite indexes.
On price, Hy3 is roughly 2.4x 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
- you value its reported benchmark strengths — it wins 7 of 9 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 Hy3
- cost matters — it's about 2.4x 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 · 31 for Hy3
Beam 1.0 outperforms in 7 benchmarks (AA-LCR, GPQA, MCP Atlas, SWE-bench Multilingual, SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.1), while Hy3 is better at 2 benchmarks (BrowseComp, DeepSearchQA).
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 2.9x more expensive than Hy3 ($0.14/1M tokens).
For output processing, Beam 1.0 ($1.20/1M tokens) is 2.1x more expensive than Hy3 ($0.58/1M tokens).
In conclusion, Beam 1.0 is more expensive than Hy3.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Beam 1.0 has 206.3B more parameters than Hy3, making it 69.9% larger.
Context Window
Maximum input and output token capacity
Beam 1.0 accepts 1,048,576 input tokens compared to Hy3's 262,144 tokens. Hy3 can generate longer responses up to 262,144 tokens, while Beam 1.0 is limited to 131,072 tokens.
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 Hy3 was released on 2026-07-06.
Beam 1.0 is 3 months newer than Hy3.
Oct 16, 2026
6 days ago
3mo newerJul 6, 2026
3 months ago
Knowledge Cutoff
When training data ends
Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while Hy3'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 Hy3's cutoff date.
Jun 2026
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Provider Availability
Beam 1.0 is available from Together, Reflection AI. Hy3 is available from DeepInfra.
Beam 1.0
Hy3
Outputs Comparison
Judge for yourself.
Run your own prompts against Beam 1.0 and Hy3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Beam 1.0 vs Hy3.