How much does Beam cost?

Beam is published as open weights (Apache 2.0) — there is no per-token API price. You self-host the model and pay infrastructure cost (GPU rental and operating overhead). Effective cost on commodity 24-48GB GPUs typically lands at $0.10-$0.50 per million output tokens.

What is the context window of Beam?

Beam supports a context window of 1000K tokens (1,000,000 tokens) and can generate up to 33K output tokens per request.

What is Beam best for?

Beam is best for: Apache-2.0 large open model for self-hosted coding agents. It supports chat, function_calling, code, reasoning capabilities. It is open-source under the Apache 2.0 license.

Beam

Reflection AIopen-source NewOpen Source

Reflection AI's first model: a 501B-total / 23B-active sparse mixture-of-experts with 52 layers and a 1M-token effective context (256K longest used in reinforcement learning). Previewed 5 Oct 2026; weights released 16 Oct 2026 on Hugging Face under Apache 2.0 with BF16, FP8 and NVFP4 checkpoints — the permissive licence is its main selling point among large open models. Reflection's hosted API was in a free public beta with no published rate, so the row shows as self-host. Reflection reports (vendor-reported) Terminal-Bench 2.1 80.1, SWE-bench Verified 80.9 and AIME 2026 97.8; independent scoring is much weaker: Artificial Analysis Intelligence Index v5.0.1 gives it 18 (30 on the retired v4.3.2 scale), #19 of 26 open-weights models, though at only 53.7M output tokens, $0.28 per Index task and 287 tokens/s it is cheap and fast to run. Maximum output is not published; the figure shown is a placeholder.

Context Window

tokens

Max Output

33K

tokens

Input Price

Self-host

open weights

Output Price

Self-host

infra cost only

Speed

287

tokens/sec

Released

Oct 2026

2026-10-16

Blended Cost

—

self-host

Value Score

—

n/a self-host

Capabilities

ChatFunction CallingCode GenerationReasoning

Benchmarks

Quality Index

Price vs Quality

Context Window in Context

▸ Beam1M
GPT-4.11M
Gemini 2.5 Pro1M
Gemini 2.0 Flash1M
Llama 4 Maverick1M
GPT-5.51M
GPT-5.5 Pro1M
Claude Opus 4.71M

Bar length is logarithmic — each full step is 10× the tokens. Shown against the models with the nearest context windows, not the directory extremes.

Try in Playground Use via Swfte Connect Reflection AI Docs

Compare With

Open Source: Licensed under Apache 2.0

Noch nicht auf unserem Gateway

Beam ist open-weight, du kannst es also selbst betreiben. Swfte Connect macht aus deinem Deployment einen verwalteten Endpoint, der dieselbe API spricht wie jedes andere Modell in diesem Verzeichnis.

Die Anfrage

curl https://api.swfte.com/agents/v2/gateway/chat/completions \
  -H "Authorization: Bearer $SWFTE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "reflection:beam-1.0",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

Dieses Modell mit Swfte Connect bereitstellen

About Beam

Beam is a open-source AI model by Reflection AI, released on October 16, 2026. It supports a context window of 1000K tokens and can generate up to 33K output tokens.

Beam is published as open weights (Apache 2.0) for self-hosting. There is no per-token API price. Cost depends on your inference infrastructure: GPU rental, throughput per GPU, and operating overhead. For commodity 24-48GB GPUs the effective cost typically lands in the $0.10-$0.50 per million output tokens range, well below the cheapest hosted alternatives.

Beam is available as an open-source model under the Apache 2.0 license, meaning you can self-host it for predictable costs or use it through API providers like Swfte Connect.

Using Beam with Swfte

Access Beam through Swfte Connect, our unified LLM gateway. Connect gives you a single API for 50+ models, with automatic routing, cost optimization, and fallback handling. You can also try Beam in our AI Playground before integrating.