Skip to main content
BenchLM
Data

Data as of November 13, 2026 · How the score is built

Beam 1.0 501B-A23B FP8

CurrentOpen WeightReasoning

Decision readingBeam 1.0 501B-A23B FP8 is tracked, but not publicly ranked yet. The profile exposes 19 sourced benchmark rows and leaves unsupported fields blank until a published record exists.

Email me when its price, rank or availability changes.

Capability

Unranked

field median 49.4Not eligible for a public rank

Price

API rate not published

input median $0.60No comparable first-party hosted token rate

Speed

Not measured

field median 92 tok/sTime to first token not measured

Context

1Mtokens

field median 256,000Maximum output length is tracked separately

Decision snapshot

How much published evidence this model has, where that evidence is strongest, and what to validate before choosing it. It has no public rank, so no field position is shown.

Strongest published evidence

Instruction Following ranks #31. A well-rounded choice across a range of tasks.

Validate before choosing

19 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.

Source-linked · 19 displayable benchmark rows

Is Beam 1.0 501B-A23B FP8 right for your job?

Its place on the LLM Selector’s job rankings, the same order the job pages publish. Describe your own job to see where it stands for that.

Where Beam 1.0 501B-A23B FP8 ranks by benchmark score:

Describe the task and constraints. This selector recommends models; it cannot carry out the task or access your files and accounts.

We keep what you type here, drafts included, for 180 days, and after that only the job and requirements read from it. Nothing is tied to your IP address or account. Leave out names and other personal details. Privacy

Category score record

Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank Not rankedWeight 22%6 benchmarksVerified
61.6
CodingRank Not rankedWeight 20%7 benchmarksVerified
63.9
ReasoningRank Not rankedWeight 17%2 benchmarksVerified
78.9
MultimodalWeight 12%0 benchmarksNot measured
Not measured
KnowledgeRank Not rankedWeight 12%2 benchmarksVerified
57.5
MultilingualWeight 7%0 benchmarksNot measured
Not measured
Inst. FollowingRank #31 of 157Percentile 81stWeight 5%1 benchmarkVerified
89.8
MathRank Not rankedWeight 5%1 benchmarkVerified
84.4

19 of 919 tracked benchmark slots have displayable evidence · bars run 0–100

Coverage details

How much of this is verified

Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.

  1. Agentic6/6 verified
  2. Coding7/7 verified
  3. Reasoning2/2 verified
  4. MultimodalNot measured
  5. Knowledge2/2 verified
  6. MultilingualNot measured
  7. Inst. Following1/1 verified
  8. Math1/1 verified
Verified sourceProvisionalNot measured

Benchmark ledger

Every result says who ran the test. For this model, Reflection AI ran all 19. Coding opens by default. The tick marks the best source-verified result in the catalog; provisional leaders do not set the reference.

Overall rank
Not ranked yet
No benchmark-run or independent results yet
Reported by Reflection AI
19
Shown with that label
Run by a benchmark
0
None yet
Independent runs
0
None yet
Coding7 rows
Coding benchmark results, best verified comparison, who ran each test, and whether it counts toward a rank
SWE-bench Pro65.9%

Best verified: Claude Fable 5.2 · 93%

Gap27.1 behindReported by Reflection AIWeighted benchmark26% ref. weight
DeepSWE43.0%

Best verified: Muse Wonder Full · 79.0%

Gap36 behindReported by Reflection AIWeighted benchmark15% ref. weight
SciCodeScientific Code Benchmark48.3%

Best verified: Sakana Fugu · 60.1%

Gap11.8 behindReported by Reflection AIWeighted benchmark10% ref. weight
SWE Multilingual78.1%

Best verified: Claude Fable 5.2 · 96.6%

Gap18.5 behindReported by Reflection AIWeighted benchmark5% ref. weight
Terminal-Bench 2.178.9%

Best verified: SWE-2 · 92.8%

Gap13.9 behindReported by Reflection AIWeighted benchmarkScored in Agentic
SWE-Atlas Codebase QnA32.2%

Best verified: Ling 3.1 Flash · 64.5%

Gap32.3 behindReported by Reflection AIShown only
SWE-bench VerifiedSoftware Engineering Benchmark Verified80.2%

Best verified: Claude Opus 5 · 96%

Gap15.8 behindReported by Reflection AIShown only
Agentic6 rows
Agentic benchmark results, best verified comparison, who ran each test, and whether it counts toward a rank
Terminal-Bench 2.178.9%

Best verified: SWE-2 · 92.8%

Gap13.9 behindReported by Reflection AIWeighted benchmark9% ref. weight
BrowseComp76.7%

Best verified: Atria Dawn Preview · 92.5%

Gap15.8 behindReported by Reflection AIWeighted benchmark9% ref. weight
MCP Atlas81.5%

Best verified: Muse Spark Open · 89.2%

Gap7.7 behindReported by Reflection AIWeighted benchmark5% ref. weight
HLE w/ toolsHumanity's Last Exam with tools51.1%

Best verified: Kimi K3.1 Pro · 70.0%

Gap18.9 behindReported by Reflection AIWeighted benchmark3% ref. weight
τ³-bench resultsτ³-Bench Tool-Agent-User Evaluation36.8%

Best verified: Mercury 2.5 · 96.0%

Gap59.2 behindReported by Reflection AIWeighted benchmark2% ref. weight
DeepSearchQA79.6%

Best verified: Atria Dawn Preview · 96.0%

Gap16.4 behindReported by Reflection AIWeighted benchmark2% ref. weight
Reasoning2 rows
Reasoning benchmark results, best verified comparison, who ran each test, and whether it counts toward a rank
CritPtCritical Physics Tasks17.4%

Best verified: Claude Fable 5.2 · 35.4%

Gap18 behindReported by Reflection AIWeighted benchmark25% ref. weight
LongBench v267.6%

Best verified: Inkling 2 Small · 70.6%

Gap3 behindReported by Reflection AIWeighted benchmark5% ref. weight
Knowledge2 rows
Knowledge benchmark results, best verified comparison, who ran each test, and whether it counts toward a rank
HLE w/o toolsHumanity's Last Exam without tools36%

Best verified: Claude Fable 5.2 · 73.2%

Gap37.2 behindReported by Reflection AIWeighted benchmark7% ref. weight
GPQA-DGPQA Diamond90.3%

Best verified: GPT-6 Astra · 96.0%

Gap5.7 behindReported by Reflection AIShown only
Inst. Following1 row
Inst. Following benchmark results, best verified comparison, who ran each test, and whether it counts toward a rank
IFBenchInstruction Following Benchmark80.7%

Best verified: Flint · 89.2%

Gap8.5 behindReported by Reflection AIWeighted benchmarkWeighted 70%
Math1 row
Math benchmark results, best verified comparison, who ran each test, and whether it counts toward a rank
AIME26AIME 202698.0%

Best verified: GLM-5.2 · 99.2%

Gap1.2 behindReported by Reflection AIWeighted benchmarkWeighted 25%

Outlined bars are lab-reported. Filled bars are benchmark-run or independent. Bars run 0–100; the dark tick marks the best source-verified value.

Lineage

The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

  1. Oct 16, 2026 · you are here

    Beam 1.0 501B-A23B FP8

    Not publicly ranked · Price not listed

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

Weights model ID
reflection/Beam-1.0-501B-A23B-FP8Reflection Beam 1.0 FP8 model card
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Parameters
Not sourced yet
Availability
Hugging Face · self-hosted inferenceReflection Beam 1.0 FP8 model card
Cloud regions
Not tracked yet
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Not documented in the pricing recordReflection Hugging Face model card
Self-host
Open weights available; hardware estimate not sourced
Rate limits
Not tracked yet

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

We track Beam 1.0 501B-A23B FP8, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.

Beam 1.0 501B-A23B FP8 is a open weight model with a 1M context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.

Open Apache 2.0 FP8 weights on Hugging Face for self-hosted inference; the first-party API serves the model as Beam-1.0-501B-A23B without naming a numeric.

Reflection released the FP8 checkpoint of Beam 1.0 on October 16, 2026 under Apache 2.0, quantized from the BF16 release and documented in the developer guides. Benchmark values are the FP8 column of Reflection's model card, run at temperature 0.7 and top_p 0.99 with reasoning on; the BF16 and other numerics stay on their own rows. LiveCodeBench is reported without a version, SWE-bench Pro v2-Hard has no lane, AutomationBench and the Omniscience index are public-split-only figures, and the Iris safety rates are not benchmark lanes; those stay unmapped. This quantized variant is tracked beside the BF16 reference and does not receive a second family rank.

Beam 1.0 501B-A23B FP8 sits in the Beam family with Beam 1.0 501B-A23B, Beam 1.0 501B-A23B NVFP4. 19 of 919 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Its strongest eligible category is Instruction Following at #31. a well-rounded choice across a range of tasks.

Last updated November 13, 2026. Runtime fields remain blank until a sourced snapshot exists.

Deployment options

Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.

Published weights are available, but BenchLM does not yet have a sourced parameter and VRAM profile for this exact model. Hardware cost estimates stay unavailable until that sizing record is complete.

Estimate VRAM from known parameters

Questions

How does Beam 1.0 501B-A23B FP8 perform overall in AI benchmarks?

Beam 1.0 501B-A23B FP8 has 19 source-displayable benchmark rows, but it does not qualify for a public overall rank. The available rows remain visible by category without being converted into a site-wide score. Missing evidence stays blank instead of being estimated from an earlier model.

Is Beam 1.0 501B-A23B FP8 good for knowledge and understanding?

Beam 1.0 501B-A23B FP8 has source-displayable benchmark coverage for knowledge and understanding, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Beam 1.0 501B-A23B FP8 good for coding and programming?

Beam 1.0 501B-A23B FP8 has source-displayable benchmark coverage for coding and programming, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Beam 1.0 501B-A23B FP8 good for mathematics?

Beam 1.0 501B-A23B FP8 has source-displayable benchmark coverage for mathematics, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Beam 1.0 501B-A23B FP8 good for reasoning and logic?

Beam 1.0 501B-A23B FP8 has source-displayable benchmark coverage for reasoning and logic, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Beam 1.0 501B-A23B FP8 good for agentic tool use and computer tasks?

Beam 1.0 501B-A23B FP8 has source-displayable benchmark coverage for agentic tool use and computer tasks, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Beam 1.0 501B-A23B FP8 good for instruction following?

Beam 1.0 501B-A23B FP8 ranks #31 out of 157 eligible models for instruction following, with a public category score of 89.8/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Beam 1.0 501B-A23B FP8 open source?

Beam 1.0 501B-A23B FP8 is an open-weight model from Reflection AI. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.

Which sibling models are related to Beam 1.0 501B-A23B FP8?

Beam 1.0 501B-A23B FP8 belongs to the Beam family. Related tracked variants include Beam 1.0 501B-A23B, Beam 1.0 501B-A23B NVFP4. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.

Does Beam 1.0 501B-A23B FP8 have full benchmark coverage on BenchLM?

No. Beam 1.0 501B-A23B FP8 currently has 20 source-displayable rows. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.

What is the context window size of Beam 1.0 501B-A23B FP8?

Beam 1.0 501B-A23B FP8 has a documented context window of 1M. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.

Compare Beam 1.0 501B-A23B FP8 with every tracked model1032 comparisons