Beam 1.0 vs Hermes 3 70B
Beam 1.0 leads the LLM Stats Score 44.6 to 3.6. Beam 1.0 is 1.2x cheaper per token.
Reflection AI · Nous Research · Updated for 2026
Which is better?
Beam 1.0 leads the overall LLM Stats Score 44.6 to 3.6, ranking #46 overall.
The models split the 2 individual benchmarks reported for both models evenly.
On price, Beam 1.0 is roughly 1.2x 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
- cost matters — it's about 1.2x 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 Hermes 3 70B
- you want predictable pricing at $0.70/M input and $0.70/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 · 17 for Hermes 3 70B
Beam 1.0 outperforms in 1 benchmarks (GPQA), while Hermes 3 70B is better at 1 benchmark (IFBench).
Both models are evenly matched across the 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 1.7x cheaper than Hermes 3 70B ($0.70/1M tokens).
For output processing, Beam 1.0 ($1.20/1M tokens) is 1.7x more expensive than Hermes 3 70B ($0.70/1M tokens).
In conclusion, Hermes 3 70B 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 431.3B more parameters than Hermes 3 70B, making it 616.1% larger.
Context Window
Maximum input and output token capacity
Beam 1.0 accepts 1,048,576 input tokens compared to Hermes 3 70B's 131,072 tokens. Both models can generate responses up 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 Hermes 3 70B was released on 2024-08-15.
Beam 1.0 is 26 months newer than Hermes 3 70B.
Oct 16, 2026
3 days ago
2.2yr newerAug 15, 2024
2.2 years ago
Knowledge Cutoff
When training data ends
Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while Hermes 3 70B'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 Hermes 3 70B's cutoff date.
Jun 2026
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Provider Availability
Beam 1.0 is available from Together, Reflection AI. Hermes 3 70B is available from DeepInfra.
Beam 1.0
Hermes 3 70B
Outputs Comparison
Judge for yourself.
Run your own prompts against Beam 1.0 and Hermes 3 70B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Beam 1.0 vs Hermes 3 70B.