Beam 1.0 vs GPT-6 Luna
Beam 1.0 and GPT-6 Luna are closely matched at 44.6 and 43.1 on the LLM Stats Score. GPT-6 Luna is 3.0x cheaper per token.
Reflection AI · OpenAI · Updated for 2026
Which is better?
Beam 1.0 and GPT-6 Luna are closely matched on the overall LLM Stats Score at 44.6 and 43.1.
In the 1 individual benchmarks reported for both models, GPT-6 Luna wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, GPT-6 Luna is roughly 3.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6 Luna also accepts a larger context window (1,050,000 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 want the most recent training data — it shipped Oct 2026
- you need open weights you can self-host or fine-tune
Choose GPT-6 Luna
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 3.0x cheaper per token
- you process long inputs — it offers a 1,050,000 token context window
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 · 5 for GPT-6 Luna
Beam 1.0 outperforms in 0 benchmarks, while GPT-6 Luna is better at 1 benchmark (DeepSWE 1.1).
GPT-6 Luna 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 4.0x more expensive than GPT-6 Luna ($0.10/1M tokens).
For output processing, Beam 1.0 ($1.20/1M tokens) is 2.4x more expensive than GPT-6 Luna ($0.50/1M tokens).
In conclusion, Beam 1.0 is more expensive than GPT-6 Luna.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6 Luna accepts 1,050,000 input tokens compared to Beam 1.0's 1,048,576 tokens. Beam 1.0 can generate longer responses up to 131,072 tokens, while GPT-6 Luna is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-6 Luna supports multimodal inputs, whereas Beam 1.0 does not.
GPT-6 Luna can handle both text and other forms of data like images, making it suitable for multimodal applications.
Beam 1.0
GPT-6 Luna
License
Usage and distribution terms
Beam 1.0 is licensed under Apache 2.0, while GPT-6 Luna uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Beam 1.0 was released on 2026-10-16, while GPT-6 Luna was released on 2026-09-22.
Beam 1.0 is 1 month newer than GPT-6 Luna.
Oct 16, 2026
4 days ago
3w newerSep 22, 2026
4 weeks ago
Knowledge Cutoff
When training data ends
Beam 1.0 has a knowledge cutoff of 2026-06-30, while GPT-6 Luna has a cutoff of 2026-05-18.
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 GPT-6 Luna (2026-05-18).
Jun 2026
1 mo newerMay 2026
Provider Availability
Beam 1.0 is available from Together, Reflection AI. GPT-6 Luna is available from OpenAI.
Beam 1.0
GPT-6 Luna
Outputs Comparison
Judge for yourself.
Run your own prompts against Beam 1.0 and GPT-6 Luna side-by-side, then vote on the output you prefer.
FAQ
Common questions about Beam 1.0 vs GPT-6 Luna.