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Comparison · 2 models · Updated Nov 2, 2026

Beam 1.0 501B A23B vs Perceptron Mk1.5

Too close to call on our weighted score (Perceptron Mk1.5 55, Beam 1.0 501B A23B 54). The right pick depends on what you value most.

  1. Reflection AI

    Beam 1.0 501B A23B

    Released Oct 5, 2026New

    54/100
    • ECI—
    • Price$0.30 / $1.00
    • Context1.05M
    Full specs Remove Beam 1.0 501B A23B

  2. Perceptron

    Perceptron Mk1.5

    Released Sep 25, 2026New

    55/100
    • ECI—
    • Price$0.154 / $1.54
    • Context37K
    Full specs Remove Perceptron Mk1.5

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Too close to call

It is close. Our weighted score puts them within 1 points (Perceptron Mk1.5 55/100, Beam 1.0 501B A23B 54/100), so choose by what matters most for your work: Beam 1.0 501B A23B on price and Beam 1.0 501B A23B for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

  • CapabilityNot enough dataNo independent benchmark covers every model here yet
  • Lowest priceBeam 1.0 501B A23BBeam 1.0 501B A23B $0.475 · Perceptron Mk1.5 $0.502 per 1M tokens (3:1 blend)
  • Longest contextBeam 1.0 501B A23BBeam 1.0 501B A23B 1,048,576 · Perceptron Mk1.5 36,864 tokens
  • Widest inputsPerceptron Mk1.5Beam 1.0 501B A23B: Text · Perceptron Mk1.5: Text, Images, Audio, Video
  • Self-hostingBeam 1.0 501B A23BPublishes downloadable weights (Apache-2.0)
How the score is built
MeasureWeightBeam 1.0 501B A23BPerceptron Mk1.5
Price50%6261
Inputs & features30%3580
Context window20%612
Overall100%54/10055/100

Left out because at least one model lacks the data: capability. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Beam 1.0 501B A23B vs Perceptron Mk1.5 specifications side by side
SpecificationBeam 1.0 501B A23BReflection AIPerceptron Mk1.5Perceptron
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.30$0.154 (best)
Output$1.00 (best)$1.54
Cached input——
Blended (3:1)$0.475 (best)$0.502
Long-context rateSame rateSame rate
Price sourceMedian of 7 providersMedian of 2 providers
Limits
Context window1,048,576 tokens (best)36,864 tokens
Max output131,072 tokens (best)8,192 tokens
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoNo
AudioNoYes
VideoNoYes
ReasoningYesYes
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenApache-2.0Proprietary
API model ID——
API providers12 (best)2
ReleasedOct 5, 2026Sep 25, 2026
Knowledge cutoffJun 30, 2026—
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • Beam 1.0 501B A23B$5.00
  • Perceptron Mk1.5$4.63
04 — Questions

Which should you choose?

Which is better: Beam 1.0 501B A23B or Perceptron Mk1.5?

It is close. Our weighted score puts them within 1 points (Perceptron Mk1.5 55/100, Beam 1.0 501B A23B 54/100), so choose by what matters most for your work: Beam 1.0 501B A23B on price and Beam 1.0 501B A23B for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Beam 1.0 501B A23B or Perceptron Mk1.5?

Beam 1.0 501B A23B is cheaper at $0.30 input / $1.00 output per million tokens (median across 7 API providers). Perceptron Mk1.5 costs $0.154 input / $1.54 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $0.475 per million tokens for Beam 1.0 501B A23B versus $0.502 for Perceptron Mk1.5 (1.1× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Beam 1.0 501B A23B has not been scored yet and Perceptron Mk1.5 has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Beam 1.0 501B A23B and Perceptron Mk1.5 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.

Which has the bigger context window?

Beam 1.0 501B A23B has the largest context window at 1,048,576 tokens, against 36,864 for Perceptron Mk1.5. Maximum output per response: Beam 1.0 501B A23B up to 131,072, Perceptron Mk1.5 up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Beam 1.0 501B A23B accepts text; Perceptron Mk1.5 accepts text, images, audio and video. Perceptron Mk1.5 handles the widest range of inputs.

Are any of these open source?

Beam 1.0 501B A23B publishes its weights (Apache-2.0) and can be self-hosted; Perceptron Mk1.5 is proprietary.

Which is newer?

Beam 1.0 501B A23B is the newest, released Oct 5, 2026. Perceptron Mk1.5 came out Sep 25, 2026. Knowledge cutoff: Beam 1.0 501B A23B Jun 30, 2026.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.

05 — Keep comparing

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