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Data

Data as of October 16, 2026 · How the score is built

CurrentOpen WeightReasoning

Released Oct 16, 20261M contextReflection NVFP4 model card

Beam 1.0 501B-A23B NVFP4

Decision readingBeam 1.0 501B-A23B NVFP4 is tracked, but not publicly ranked yet. The profile exposes 19 sourced benchmark rows and leaves unsupported fields blank until a published record exists.

Released Oct 16, 2026 — see all recent releases

Decision snapshot

Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.

Capability

Unranked

field median 49.6Not eligible for a public rank

Price

API rate not published

input median $0.75No 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

Strongest published evidence

Instruction Following ranks #44. 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

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
60.7
CodingRank Not rankedWeight 20%7 benchmarksVerified
63.1
ReasoningRank Not rankedWeight 17%2 benchmarksVerified
85.5
MultimodalWeight 12%0 benchmarksNot measured
Not measured
KnowledgeRank Not rankedWeight 12%2 benchmarksVerified
58.0
MultilingualWeight 7%0 benchmarksNot measured
Not measured
Inst. FollowingRank #44 of 148Percentile 71stWeight 5%1 benchmarkVerified
86.2
MathRank Not rankedWeight 5%1 benchmarkVerified
87.9

19 of 681 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

Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.

Coding7 rows
Coding benchmark values, best verified comparison, weight, and source status
SWE-bench ProScore65.6%Versus best verified row

Best verified: Claude Opus 5.5 · 89.9%

Gap24.3 behindWeight26% ref. weight
DeepSWEScore42.7%Versus best verified row

Best verified: Muse Wonder Full · 79.0%

Gap36.3 behindWeight15% ref. weight
SciCodeScientific Code BenchmarkScore46.9%Versus best verified row

Best verified: Sakana Fugu · 60.1%

Gap13.2 behindWeight10% ref. weight
SWE MultilingualScore77.5%Versus best verified row

Best verified: Claude Opus 5.5 · 93.9%

Gap16.4 behindWeight5% ref. weight
Terminal-Bench 2.1Score78.4%Versus best verified row

Best verified: SWE-2 · 92.8%

Gap14.4 behindWeightScored in Agentic
SWE-Atlas Codebase QnAScore31.4%Versus best verified row

Best verified: Ling 3.1 Flash · 64.5%

Gap33.1 behindWeightDisplay only
SWE-bench VerifiedSoftware Engineering Benchmark VerifiedScore80.7%Versus best verified row

Best verified: Claude Opus 5 · 96%

Gap15.3 behindWeightDisplay only
Agentic6 rows
Agentic benchmark values, best verified comparison, weight, and source status
Terminal-Bench 2.1Score78.4%Versus best verified row

Best verified: SWE-2 · 92.8%

Gap14.4 behindWeight8% ref. weight
BrowseCompScore75.6%Versus best verified row

Best verified: Atria Dawn Preview · 92.5%

Gap16.9 behindWeight8% ref. weight
MCP AtlasScore80.5%Versus best verified row

Best verified: Muse Spark Open · 89.2%

Gap8.7 behindWeight4% ref. weight
HLE w/ toolsHumanity's Last Exam with toolsScore51.1%Versus best verified row

Best verified: Claude Opus 5.5 · 67.7%

Gap16.6 behindWeight3% ref. weight
τ³-bench resultsτ³-Bench Tool-Agent-User EvaluationScore35.4%Versus best verified row

Best verified: Mercury 2.5 · 96.0%

Gap60.6 behindWeight2% ref. weight
DeepSearchQAScore81.1%Versus best verified row

Best verified: Atria Dawn Preview · 96.0%

Gap14.9 behindWeight2% ref. weight
Reasoning2 rows
Reasoning benchmark values, best verified comparison, weight, and source status
LongBench v2Score67.2%Versus best verified row

Best verified: Beam 1.0 501B-A23B FP8 · 67.6%

Gap0.4 behindWeightWeighted 25%
CritPtCritical Physics TasksScore15.4%Versus best verified row

Best verified: Muse Wonder Full · 32.9%

Gap17.5 behindWeightFeeds overall
Knowledge2 rows
Knowledge benchmark values, best verified comparison, weight, and source status
HLE w/o toolsHumanity's Last Exam without toolsScore34.8%Versus best verified row

Best verified: Claude Opus 5.5 · 64.4%

Gap29.6 behindWeight7% ref. weight
GPQA-DGPQA DiamondScore89.3%Versus best verified row

Best verified: GPT-6 Astra · 96.0%

Gap6.7 behindWeightDisplay only
Inst. Following1 row
Inst. Following benchmark values, best verified comparison, weight, and source status
IFBenchInstruction Following BenchmarkScore79.2%Versus best verified row

Best verified: MAI-Thinking-1 · 85%

Gap5.8 behindWeightWeighted 70%
Math1 row
Math benchmark values, best verified comparison, weight, and source status
AIME26AIME 2026Score97.5%Versus best verified row

Best verified: GLM-5.2 · 99.2%

Gap1.7 behindWeightWeighted 25%

Bars run 0–100; the dark tick marks the best source-verified value

All 19 rows

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 NVFP4

    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-NVFP4Reflection Beam 1.0 NVFP4 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 NVFP4 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 NVFP4, 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 NVFP4 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 NVFP4 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 NVFP4 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 NVFP4 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 NVFP4 sits in the Beam family with Beam 1.0 501B-A23B, Beam 1.0 501B-A23B FP8. 19 of 681 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Its strongest eligible category is Instruction Following at #44. a well-rounded choice across a range of tasks.

Last updated October 16, 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 NVFP4 perform overall in AI benchmarks?

Beam 1.0 501B-A23B NVFP4 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 NVFP4 good for knowledge and understanding?

Beam 1.0 501B-A23B NVFP4 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 NVFP4 good for coding and programming?

Beam 1.0 501B-A23B NVFP4 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 NVFP4 good for mathematics?

Beam 1.0 501B-A23B NVFP4 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 NVFP4 good for reasoning and logic?

Beam 1.0 501B-A23B NVFP4 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 NVFP4 good for agentic tool use and computer tasks?

Beam 1.0 501B-A23B NVFP4 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 NVFP4 good for instruction following?

Beam 1.0 501B-A23B NVFP4 ranks #44 out of 148 eligible models for instruction following, with a public category score of 86.2/100. 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 NVFP4 open source?

Beam 1.0 501B-A23B NVFP4 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 NVFP4?

Beam 1.0 501B-A23B NVFP4 belongs to the Beam family. Related tracked variants include Beam 1.0 501B-A23B, Beam 1.0 501B-A23B FP8. 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 NVFP4 have full benchmark coverage on BenchLM?

No. Beam 1.0 501B-A23B NVFP4 currently has 20 source-displayable rows across 681 tracked benchmark slots. 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 NVFP4?

Beam 1.0 501B-A23B NVFP4 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.

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Compare Beam 1.0 501B-A23B NVFP4 with every tracked model953 comparisons