Moduck

Reflection: Beam 1.0 501B A23B

Sparse mixture-of-experts reasoning model with 23B active parameters for coding and agentic workflows

Model lab
Reflection
Model family
beam
Modalitiestext → text
Context window1,048,576
Maximum output131,072
InputUSD 0.2 / 1M tokens
OutputUSD 0.8 / 1M tokens

Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to reflection/beam-1.0-501b-a23b.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "reflection/beam-1.0-501b-a23b"

response = requests.post(
    f"{base_url}/chat/completions",
    headers={
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json",
    },
    json={
        "model": model_id,
        "messages": [{"role": "user", "content": "Hello!"}],
        "stream": False,
    },
    timeout=60,
)
response.raise_for_status()
print(response.json())

Use the familiar OpenAI-style chat request format to make model integration easier.

Beam 1.0 501B A23B API Pricing

TypePrice information
InputUSD 0.2 / 1M tokens
OutputUSD 0.8 / 1M tokens

Benchmarks

BenchmarkScoreMeasurementSource
DeepSWE43.3Variant: BF16 · Version: 1.1 · Date: 2026-10-16
SWE-Bench Pro76.5Dataset: hard · Variant: BF16 · Version: 2 · Date: 2026-10-16
SWE-Bench Pro66.1Variant: BF16 · Version: 1 · Date: 2026-10-16
Terminal-Bench80.1Variant: BF16 · Version: 2.1 · Date: 2026-10-16
SWE-Atlas Codebase QnA31.8Variant: BF16 · Date: 2026-10-16
SWE-Bench Multilingual78.3Variant: BF16 · Date: 2026-10-16
SWE-Bench Verified81.6Variant: BF16 · Date: 2026-10-16
AIME 202697.7Variant: BF16 · Date: 2026-10-16
Humanity's Last Exam36Variant: BF16; no tools · Date: 2026-10-16
Humanity's Last Exam51.1Variant: BF16; with tools · Date: 2026-10-16
SciCode49.2Variant: BF16 · Date: 2026-10-16
CritPt16.3Variant: BF16 · Date: 2026-10-16
GPQA Diamond90.6Variant: BF16 · Date: 2026-10-16
LiveCodeBench88.3Variant: BF16 · Date: 2026-10-16
AutomationBench39.3Dataset: public · Variant: BF16 · Date: 2026-10-16
MCP Atlas80.8Variant: BF16 · Date: 2026-10-16
τ3 Banking36.1Variant: BF16 · Date: 2026-10-16
BrowseComp76.8Variant: BF16; with context management · Date: 2026-10-16
DeepSearchQA80.5Variant: BF16; with context management · Date: 2026-10-16
AA-LCR78.2Variant: BF16 · Date: 2026-10-16
LongBench67.5Variant: BF16 · Version: 2 · Date: 2026-10-16
IFBench79.6Variant: BF16 · Date: 2026-10-16
AA-Omniscience10.8index · Dataset: public split · Variant: BF16 · Date: 2026-10-16

Performance

Measured on the Moduck gateway across live traffic, hour by hour over the last 24 hours. Time to first token is how long before anything appears; throughput is how fast the answer is written after that; end-to-end latency is the whole round trip. Figures are medians unless the card says otherwise.

Performance trends

Throughput92.4 tok/sCurrent
Time to first token1.4 sCurrent
End-to-end latency7.4 sCurrent
Throughput
Current92.4 tok/s
Window average90.0 tok/s
Time to first token
Current1.4 s
Window average1.4 s
End-to-end latency
Current7.4 s
Window average7.5 s
Tail latency (P99)
Current31.0 s
Window average17.8 s
Prompt cache hit rate
Current18.2%
Window average24.6%
Error rate
Current0.0%
Window average0.1%

Availability

Uptime is the share of time at least one provider serving this model responded. Availability is stricter: the share of requests actually served. A provider that answers but fails part of the traffic lowers availability without lowering uptime. Both cover the last three days.

Uptime100%At least one provider responded
Availability100%Requests actually served
Error rate0%Share of failed requests
Served requests, hour by hour
24 hours agoNow

Beam 1.0 501B A23B Compare models

ModelInput priceOutput priceContext windowCapabilities
Beam 1.0 501B A23BThis pageUSD 0.2 / 1M tokensUSD 0.8 / 1M tokens1,048,576Text output · Reasoning · Tool calling
Ling 3.1 FlashUSD 0.06 / 1M tokensUSD 0.176 / 1M tokens262,144Text output · Reasoning · Tool calling
Schematron V2 SmallUSD 0.04 / 1M tokensUSD 0.184 / 1M tokens128,000Text output
Schematron V2 TurboUSD 0.024 / 1M tokensUSD 0.12 / 1M tokens128,000Text output
Mercury 2.5USD 0.2 / 1M tokensUSD 0.75 / 1M tokens260,000Text output · Reasoning · Tool calling

Model specifications

Input
text
Output
text
Context window
1,048,576
Maximum output
131,072
Release date
2026-10-05
Attachments
No
Reasoning
Yes
Tool calling
Yes
Structured output
Yes
Temperature setting
Yes
Open weights
Yes

Frequently asked questions

What is Beam 1.0 501B A23B for?

Sparse mixture-of-experts reasoning model with 23B active parameters for coding and agentic workflows

What inputs and outputs does Beam 1.0 501B A23B support?

Recorded inputs: text; outputs: text.

How is Beam 1.0 501B A23B priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 0.2 / 1M tokens; Output USD 0.8 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for Beam 1.0 501B A23B?

Current model records list Context window 1,048,576 tokens; Maximum output 131,072 tokens.

What model parameter does the Quickstart use?

The example uses reflection/beam-1.0-501b-a23b. This value comes from the page identifier and is not confirmed as a callable Moduck public ID.

Can I call this model through the Moduck API now?

This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.