Reflection: Beam 1.0 501B A23B
beam-1.0
Beam 1.0 501B A23B costs $0.650 per million input tokens and $1.95 per million output tokens, supports 1.05M context, and is available through the OpenAI-compatible API.
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. Knowledge cutoff: June 30, 2026.
Modalities
Text → Text
Input / output price
$0.650 / $1.95 per 1M
Context
1.05M · max output 131K
Capabilities
Pricing
Billed per token actually used and deducted from your credits.
| Item | USD per 1M tokens |
|---|---|
| Input | $0.650 |
| Output | $1.95 |
| Cached input | $0.065 |
Calculator
Drag the sliders to estimate what this model will cost.
- Per request
- $0.00351
- Per day
- $1.76
- Per month (30 days)
- $52.65
Beam 1.0 501B A23B: input $0.65/M · output $1.95/M · cached input $0.065/M
curl https://api.geniusrelaygpt.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "beam-1.0", "max_tokens": 800,
"messages": [{"role": "user", "content": "…"}]}'Code samples
OpenAI-compatible. Set the base URL to https://api.geniusrelaygpt.com/v1 and the model to beam-1.0.
curl https://api.geniusrelaygpt.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "beam-1.0",
"stream": true,
"messages": [{"role": "user", "content": "Hello"}]
}'Use it in a client: Cursor · Cline · SillyTavern · Codex
Parameters
Common OpenAI parameters can be passed as-is.
temperaturetop_pmax_tokensstreamstoppresence_penaltyfrequency_penaltyseedFAQ
- How is Beam 1.0 501B A23B billed?
- Input is $0.650 and output is $1.95 per million tokens; cached input is $0.065. The charge for every request is listed in Usage Logs in the console.
- How long is the context window?
- 1.05M tokens. In a long conversation every turn is billed for the full input, so keep the history under control.
- Does it support streaming?
- Yes. Add "stream": true to the request to receive server-sent events in the OpenAI format.