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Reflection AIReleased on Oct 16, 2026

Beam 1.0: Benchmarks, Pricing & Context Window

Beam 1.0 is a language model from Reflection AI, released in October 2026, with a 1.0M-token context window, and pricing from $0.400/M input, $0.040/M cached input, $1.20/M output.

Beam 1.0 is Reflection AI's first open-weight model: a sparse Mixture-of-Experts reasoning model with 501.3B total parameters and 23.4B active per token (52 layers: 3 dense + 49 MoE; 256 experts; gated GQA with sliding-window attention;

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Output
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Beam 1.0 benchmarks

Capability tiers

Standing within each category, adjusted for leaderboard depth.

Real tasks performance

High-confidence performance for Beam 1.0 across real-world prompt categories. Only 95% intervals at most 4 points wide are shown.

Performance by conversation depth

How Beam 1.0 holds up as conversations get longer.

Quality Tracker

Beam 1.0 Performance Across Datasets

Scores sourced from the model's scorecard, paper, or official blog posts

LLM Stats Logollm-stats.com - Wed Oct 21 2026
Notice missing or incorrect data?

Beam 1.0 pricing

Providers

Beam 1.0 starts at $0.400 per million input tokens and $1.20 per million output tokens via Together. Reused prompt prefixes cost $0.0400 per million cached input tokens.

ProviderInput $/MCached input $/MOutput $/MContext in / outTTFT p95 sOutput p5 c/sModalities in / out
Together logoTogether
$0.400$0.0400$1.201.0M/131.1K
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/
Reflection AI logoReflection AI
———1.0M/131.1K
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/

Cached input is the discounted price for prompt tokens served from a provider cache. TTFT is time to first token. Output is characters per second; p5 is the sustained floor exceeded by 95% of observed requests.

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Beam 1.0 model size

Beam 1.0 has 501.3 billion parameters and was trained on 23.8 trillion tokens. See how it compares to other models in the same parameter range.

ParametersTraining tokens
501.3BMoE
23.8Ttokens
47× tokens-to-params ratio
Frontier (200B+)
501.3B
1B7B70B405B

Beam 1.0 context window

Input and output token limits for Beam 1.0, plus how it ranks on long-context understanding.

InputOutput
1.0Mtokens
131Ktokens
≈ 1.6k pages of text
1.0M
8K128K1M

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Beam 1.0 latency

Beam 1.0 time to first token, sustained output throughput, and failed-request rate from live model usage over the trailing 7 days.

Beam 1.0 examples

Recent arena outputs from Beam 1.0, picked from the highest-ranked matchups.

Beam 1.0 license

Beam 1.0 is released under the Apache 2.0 license, which permits commercial use, has 501.3B parameters, has a knowledge cutoff of June 2026.

License
Apache 2.0
Commercial use allowed
Parameters
501.3B
Knowledge cutoff
June 2026

Apache License 2.0 - allows commercial use

Beam 1.0 resources

Official sources for Beam 1.0: provider documentation, official playground, paper or system card, official launch post, model weights.

Beam 1.0 vs other models

The most-compared alternatives to Beam 1.0 are Claude Opus 4.6, GPT-5.2 Pro, Claude Opus 4.5. Open any pair side-by-side for benchmarks, pricing, context, and latency.

Models like Beam 1.0

Models ranked just above and below Beam 1.0 by LLM Stats score.

 

Claude Opus 4.6

Score pending
 

GPT-5.2 Pro

Score pending
 

Claude Opus 4.5

Score pending
 

Kimi K2.6

Score pending
 

Solar Pro 4

Score pending
 

Qwen3.6 Plus

Score pending

FAQ

Common questions about Beam 1.0.

When was Beam 1.0 released?

Beam 1.0 was released on October 16, 2026 by reflection. This is the official Beam 1.0 release date tracked on LLM Stats.

How much does Beam 1.0 cost?

Beam 1.0 pricing starts at $0.40 per million input tokens, $0.04 per million cached input tokens, $1.20 per million output tokens via Together, the lowest price among tracked providers.

How big is Beam 1.0?

Beam 1.0 has 501.3 billion parameters. It was trained on 23.8 trillion tokens. It ships as an open-weight model, so you can download and run it on your own hardware.

Who created Beam 1.0?

Beam 1.0 was created by reflection.

What is the license for Beam 1.0?

Beam 1.0 is released under the Apache 2.0 license. This is an open-source / open-weight license that permits self-hosting.

What is the knowledge cutoff date for Beam 1.0?

Beam 1.0 has a knowledge cutoff of June 2026, meaning it was trained on data up to that point and may not know about events after it.

Where can I use Beam 1.0?

Beam 1.0 is available through 2 providers including Together, Reflection AI.

Where is the Beam 1.0 paper or technical report?

Beam 1.0 has a paper or technical report available at https://reflection.ai/beam-safety-report. Use that source for architecture, training, release and evaluation details.

What models should I compare Beam 1.0 against?

Common Beam 1.0 comparisons include Beam 1.0 vs Claude Opus 4.6, Beam 1.0 vs GPT-5.2 Pro, Beam 1.0 vs Claude Opus 4.5. Compare them side by side for benchmark scores, pricing, context window, latency and provider availability.