Beam 1.0 vs GPT-5 High
Beam 1.0 and GPT-5 High are closely matched at 44.6 and 33.7 on the LLM Stats Score. Beam 1.0 is 5.7x cheaper per token.
Reflection AI · OpenAI · Updated for 2026
Which is better?
Beam 1.0 and GPT-5 High are closely matched on the overall LLM Stats Score at 44.6 and 33.7.
In the 1 individual benchmarks reported for both models, Beam 1.0 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Beam 1.0 is roughly 5.7x 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 1 of 1 exact shared results
- cost matters — it's about 5.7x 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
- you need open weights you can self-host or fine-tune
Choose GPT-5 High
- you want predictable pricing at $1.25/M input and $10.00/M output
At a glance
The differences that matter most.
Individual benchmarks
22 reported for Beam 1.0 · 2 for GPT-5 High
Beam 1.0 outperforms in 1 benchmarks (GPQA), while GPT-5 High 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 3.1x cheaper than GPT-5 High ($1.25/1M tokens).
For output processing, Beam 1.0 ($1.20/1M tokens) is 8.3x cheaper than GPT-5 High ($10.00/1M tokens).
In conclusion, GPT-5 High is more expensive than Beam 1.0.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Beam 1.0 accepts 1,048,576 input tokens compared to GPT-5 High's 400,000 tokens. Beam 1.0 can generate longer responses up to 131,072 tokens, while GPT-5 High is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-5 High supports multimodal inputs, whereas Beam 1.0 does not.
GPT-5 High can handle both text and other forms of data like images, making it suitable for multimodal applications.
Beam 1.0
GPT-5 High
License
Usage and distribution terms
Beam 1.0 is licensed under Apache 2.0, while GPT-5 High 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-5 High was released on 2025-08-07.
Beam 1.0 is 15 months newer than GPT-5 High.
Oct 16, 2026
3 days ago
1.2yr newerAug 7, 2025
1.2 years ago
Knowledge Cutoff
When training data ends
Beam 1.0 has a knowledge cutoff of 2026-06-30, while GPT-5 High has a cutoff of 2024-09-30.
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-5 High (2024-09-30).
Jun 2026
1.8 yr newerSep 2024
Provider Availability
Beam 1.0 is available from Together, Reflection AI. GPT-5 High is available from OpenAI.
Beam 1.0
GPT-5 High
Outputs Comparison
Judge for yourself.
Run your own prompts against Beam 1.0 and GPT-5 High side-by-side, then vote on the output you prefer.
FAQ
Common questions about Beam 1.0 vs GPT-5 High.