Beam 1.0 vs o3-mini
Beam 1.0 leads the LLM Stats Score 44.6 to 21.0. Beam 1.0 is 3.2x cheaper per token.
Reflection AI · OpenAI · Updated for 2026
Which is better?
Beam 1.0 leads the overall LLM Stats Score 44.6 to 21.0, ranking #46 overall.
In the 2 individual benchmarks reported for both models, Beam 1.0 wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Beam 1.0 is roughly 3.2x 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 and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- cost matters — it's about 3.2x 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
- you need open weights you can self-host or fine-tune
Choose o3-mini
- you want predictable pricing at $1.10/M input and $4.40/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 · 25 for o3-mini
Beam 1.0 outperforms in 2 benchmarks (GPQA, SWE-Bench Verified), while o3-mini 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 2.8x cheaper than o3-mini ($1.10/1M tokens).
For output processing, Beam 1.0 ($1.20/1M tokens) is 3.7x cheaper than o3-mini ($4.40/1M tokens).
In conclusion, o3-mini 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 o3-mini's 200,000 tokens. Beam 1.0 can generate longer responses up to 131,072 tokens, while o3-mini is limited to 100,000 tokens.
License
Usage and distribution terms
Beam 1.0 is licensed under Apache 2.0, while o3-mini 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 o3-mini was released on 2025-01-30.
Beam 1.0 is 21 months newer than o3-mini.
Oct 16, 2026
4 days ago
1.7yr newerJan 30, 2025
1.7 years ago
Knowledge Cutoff
When training data ends
Beam 1.0 has a knowledge cutoff of 2026-06-30, while o3-mini has a cutoff of 2023-09-30.
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 o3-mini (2023-09-30).
Jun 2026
2.8 yr newerSep 2023
Provider Availability
Beam 1.0 is available from Together, Reflection AI. o3-mini is available from Azure, OpenAI.
Beam 1.0
o3-mini
Outputs Comparison
Judge for yourself.
Run your own prompts against Beam 1.0 and o3-mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about Beam 1.0 vs o3-mini.