Data as of October 16, 2026 · How the score is built
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 | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank Not rankedWeight 22%6 benchmarksVerified | 60.7 | 6 benchmarks | Verified | |||
| CodingRank Not rankedWeight 20%7 benchmarksVerified | 63.1 | 7 benchmarks | Verified | |||
| ReasoningRank Not rankedWeight 17%2 benchmarksVerified | 85.5 | 2 benchmarks | Verified | |||
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| KnowledgeRank Not rankedWeight 12%2 benchmarksVerified | 58.0 | 2 benchmarks | Verified | |||
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| Inst. FollowingRank #44 of 148Percentile 71stWeight 5%1 benchmarkVerified | 86.2 | 1 benchmark | Verified | |||
| MathRank Not rankedWeight 5%1 benchmarkVerified | 87.9 | 1 benchmark | Verified |
19 of 681 tracked benchmark slots have displayable evidence · bars run 0–100
Coverage detailsHow 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.
- Agentic6/6 verified
- Coding7/7 verified
- Reasoning2/2 verified
- MultimodalNot measured
- Knowledge2/2 verified
- MultilingualNot measured
- Inst. Following1/1 verified
- Math1/1 verified
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
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| SWE-bench Pro | Score65.6% | Versus best verified row Best verified: Claude Opus 5.5 · 89.9% | Gap24.3 behind | Weight26% ref. weight | Provider exact |
| DeepSWE | Score42.7% | Versus best verified row Best verified: Muse Wonder Full · 79.0% | Gap36.3 behind | Weight15% ref. weight | Provider exact |
| SciCodeScientific Code Benchmark | Score46.9% | Versus best verified row Best verified: Sakana Fugu · 60.1% | Gap13.2 behind | Weight10% ref. weight | Provider exact |
| SWE Multilingual | Score77.5% | Versus best verified row Best verified: Claude Opus 5.5 · 93.9% | Gap16.4 behind | Weight5% ref. weight | Provider exact |
| Terminal-Bench 2.1 | Score78.4% | Versus best verified row Best verified: SWE-2 · 92.8% | Gap14.4 behind | WeightScored in Agentic | Provider exact |
| SWE-Atlas Codebase QnA | Score31.4% | Versus best verified row Best verified: Ling 3.1 Flash · 64.5% | Gap33.1 behind | WeightDisplay only | Provider exact |
| SWE-bench VerifiedSoftware Engineering Benchmark Verified | Score80.7% | Versus best verified row Best verified: Claude Opus 5 · 96% | Gap15.3 behind | WeightDisplay only | Provider exact |
Agentic6 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 2.1 | Score78.4% | Versus best verified row Best verified: SWE-2 · 92.8% | Gap14.4 behind | Weight8% ref. weight | Provider exact |
| BrowseComp | Score75.6% | Versus best verified row Best verified: Atria Dawn Preview · 92.5% | Gap16.9 behind | Weight8% ref. weight | Provider exact |
| MCP Atlas | Score80.5% | Versus best verified row Best verified: Muse Spark Open · 89.2% | Gap8.7 behind | Weight4% ref. weight | Provider exact |
| HLE w/ toolsHumanity's Last Exam with tools | Score51.1% | Versus best verified row Best verified: Claude Opus 5.5 · 67.7% | Gap16.6 behind | Weight3% ref. weight | Provider exact |
| τ³-bench resultsτ³-Bench Tool-Agent-User Evaluation | Score35.4% | Versus best verified row Best verified: Mercury 2.5 · 96.0% | Gap60.6 behind | Weight2% ref. weight | Provider exact |
| DeepSearchQA | Score81.1% | Versus best verified row Best verified: Atria Dawn Preview · 96.0% | Gap14.9 behind | Weight2% ref. weight | Provider exact |
Reasoning2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| LongBench v2 | Score67.2% | Versus best verified row Best verified: Beam 1.0 501B-A23B FP8 · 67.6% | Gap0.4 behind | WeightWeighted 25% | Provider exact |
| CritPtCritical Physics Tasks | Score15.4% | Versus best verified row Best verified: Muse Wonder Full · 32.9% | Gap17.5 behind | WeightFeeds overall | Provider exact |
Knowledge2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| HLE w/o toolsHumanity's Last Exam without tools | Score34.8% | Versus best verified row Best verified: Claude Opus 5.5 · 64.4% | Gap29.6 behind | Weight7% ref. weight | Provider exact |
| GPQA-DGPQA Diamond | Score89.3% | Versus best verified row Best verified: GPT-6 Astra · 96.0% | Gap6.7 behind | WeightDisplay only | Provider exact |
Inst. Following1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| IFBenchInstruction Following Benchmark | Score79.2% | Versus best verified row Best verified: MAI-Thinking-1 · 85% | Gap5.8 behind | WeightWeighted 70% | Provider exact |
Math1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| AIME26AIME 2026 | Score97.5% | Versus best verified row Best verified: GLM-5.2 · 99.2% | Gap1.7 behind | WeightWeighted 25% | Provider exact |
Bars run 0–100; the dark tick marks the best source-verified value
All 19 rowsLineage
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.
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
- Context window
- 1MReflection Beam 1.0 NVFP4 model card
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- textReflection Beam 1.0 NVFP4 model card
- Output modalities
- textReflection Beam 1.0 NVFP4 model card
- Parameters
- Not sourced yet
- Availability
- Hugging Face · self-hosted inferenceReflection Beam 1.0 NVFP4 model card
- Cloud regions
- Not tracked yet
- Lifecycle
- activeReflection Beam 1.0 NVFP4 model card
- 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 parametersQuestions
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.