Beam 1.0 501B A23B

by ReflectionChat

Reflection's Apache 2.0 open-weight text model with 501.3B total and 23.4B active parameters, built for coding, reasoning and tool use. It supports a shared 1,048,576-token context window, up to 131,072 output tokens, JSON mode and structured output. Reasoning is always enabled with low, medium, high, xhigh and max effort; NanoGPT defaults to max. Knowledge cutoff: June 30, 2026.

Context
1.05M tokens
Max output
131,072 tokens
Released
2026-10-16
Weights
Open

Feed

reflection/beam-1-0

Specifications

Full facts as recorded, incl. what is unknown.

Released
2026-10-16
Weights
Open
Input
Text
Output
Text
Context window
1,048,576 max across endpoints
Max output
131,072
Providers
1 + 1 gateway, not counted as providers
Epoch Capabilities Index
not evaluated
Direct price range
$1.30 in · $4.30 out per 1M tokens · from its one provider
More details
Last updated
2026-10-16
Knowledge cutoff

Capabilities

Across all endpoints: supported if any endpoint supports it.

  • Tool calling
  • Parallel toolsunknown
  • Structured output
  • Reasoning
  • Image input
  • PDF input
  • Audio input
  • Audio outputunknown
  • Video input
  • Prompt caching
  • Web searchunknown
  • Computer useunknown
  • System messagesunknown
  • Assistant prefillunknown
  • Temperatureunknown
  • Streamingunknown
  • Attachments

Endpoints

One row per provider and variant; gateways are listed separately.

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Price history

Atom feed

No change since 19 Oct 2026. The cheapest direct price has been $1.30 in / $4.30 out per 1M tokens at Baseten on every data refresh since then.

Tracked from 19 Oct 2026. Headline-eligible direct prices only, so a price the sanity check flags never draws a spike. Series as JSON

Cost calculator

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Blended rate per 1M tokens, each at its own cheapest provider (10M input : 2M output mix).

ModelBlended/1MIn/1MOut/1MContextvs Beam 1.0 501B A23B
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ModelReleasedContextListed price
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Heads up: prices are indicative list rates scraped from provider pricing pages; verify with the provider before relying on them. Report incorrect data for this model