Model summary
Speed
Beam 1.0 is amongst the leading models in intelligence when comparing to other open weight models of similar size. The model supports text input, outputs text, and has a 1M tokens context window.
Beam 1.0 scores 30 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (median: 19). When evaluating the Intelligence Index, it generated 79M tokens, which is very concise in comparison to the median of 130M.
| Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text |
| Output modality | Supports: text |
| Context window | 1M ~1573 A4 pages of size 12 Arial font |
| Total parameters | 501B |
| Active parameters | 23B Number of parameters active per token during inference |
| License | [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0) |
| Model weights | [Hugging Face](https://huggingface.co/reflection/Beam-1.0-501B-A23B) |
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
-
Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
-
<$0.15 per 1M tokens
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$0.15–$1 per 1M tokens
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$1 per 1M tokens
Speed
Intelligence #
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Index vs. Cost per Task
Measures the performance of models on specific capabilities and industries
Artificial Analysis Finance & Accounting Index
Evaluations
[AA-Briefcase v1.1](https://artificialanalysis.ai/evaluations/aa-briefcase)Updated
Agentic knowledge work, (Elo-500)/2000
Knowledge
1 - hallucination rate
Agentic SaaS workflows
[GDPval-AA v2.1](https://artificialanalysis.ai/evaluations/gdpval-aa)Updated
Agentic real-world work tasks, (Elo-500)/2000
Reasoning & knowledge
Professional document reasoning, All-pass
Agentic coding & terminal use
Long context reasoning
SciCodeUnder review Coding
CritPtUnder review Physics reasoning
Agentic scientific research workflows in a terminal
Agentic software engineering in open-source repositories
Quantitative analysis on spreadsheets & documents
Harvey LAB-AA v1.1Updated Legal agentic work, Hallucination-Gated All-Pass Rate
Agentic business operations
Kubernetes incident root-cause analysis
Medical long context reasoning
Visual reasoning
AA-Briefcase v1.1Updated
AA-Briefcase Elo
AA-Omniscience
AA-Omniscience Index
Openness Index #
Artificial Analysis Openness Index: Score
Intelligence Index Comparisons #
Intelligence Index vs. Cost per Task
Token Use #
Output Tokens per Intelligence Index Task
Cost #
Cost per Intelligence Index Task
Cost to Run Artificial Analysis Intelligence Index
Pricing: Cache Hit, Input, and Output
Context Window #
Context Window
Model Size (Open Weights Models Only) #
Model Size: Total and Active Parameters
Frequently Asked Questions #
Common questions about Beam 1.0
Beam 1.0 was released on October 16, 2026.
Beam 1.0 was created by Reflection.
Beam 1.0 scores 30 on the Artificial Analysis Intelligence Index, placing it well above average among other open weight models of similar size (median: 19).
When evaluated on the Intelligence Index, Beam 1.0 generated 79M output tokens, which is very competitive compared to other open weight models of similar size (median: 130M).
Yes, Beam 1.0 is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
Beam 1.0 supports text input.
Beam 1.0 supports text output.
No, Beam 1.0 does not support image input. It can only process text.
No, Beam 1.0 is not multimodal. It only supports text input.
Beam 1.0 has a context window of 1.0M tokens. This determines how much text and conversation history the model can process in a single request.
Yes, Beam 1.0 is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Beam 1.0 has 501 billion parameters (23 billion active).
Beam 1.0 is a Mixture of Experts (MoE) model with 501 billion total parameters, but only 23 billion active parameters are used during inference.
Beam 1.0 is released under the Apache 2.0 license. This license allows commercial use. View license
Beam 1.0 achieves a score of 30 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Beam 1.0 is an open weights model that can be self-hosted. View providers Beam 1.0 is an open weights model that can be downloaded and self-hosted. Compare providers