Data as of November 13, 2026 · How the score is built
Beam 1.0 501B-A23B FP8
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:
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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 | 61.6 | 6 benchmarks | Verified | |||
| CodingRank Not rankedWeight 20%7 benchmarksVerified | 63.9 | 7 benchmarks | Verified | |||
| ReasoningRank Not rankedWeight 17%2 benchmarksVerified | 78.9 | 2 benchmarks | Verified | |||
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| KnowledgeRank Not rankedWeight 12%2 benchmarksVerified | 57.5 | 2 benchmarks | Verified | |||
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| Inst. FollowingRank #31 of 157Percentile 81stWeight 5%1 benchmarkVerified | 89.8 | 1 benchmark | Verified | |||
| MathRank Not rankedWeight 5%1 benchmarkVerified | 84.4 | 1 benchmark | Verified |
19 of 919 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
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.
Coding7 rows
| Benchmark | Score | Versus best verified row | Gap | Who ran it | Use in ranking |
|---|---|---|---|---|---|
| SWE-bench Pro | 65.9% | Best verified: Claude Fable 5.2 · 93% | Gap27.1 behind | Reported by Reflection AI | Weighted benchmark26% ref. weight |
| DeepSWE | 43.0% | Best verified: Muse Wonder Full · 79.0% | Gap36 behind | Reported by Reflection AI | Weighted benchmark15% ref. weight |
| SciCodeScientific Code Benchmark | 48.3% | Best verified: Sakana Fugu · 60.1% | Gap11.8 behind | Reported by Reflection AI | Weighted benchmark10% ref. weight |
| SWE Multilingual | 78.1% | Best verified: Claude Fable 5.2 · 96.6% | Gap18.5 behind | Reported by Reflection AI | Weighted benchmark5% ref. weight |
| Terminal-Bench 2.1 | 78.9% | Best verified: SWE-2 · 92.8% | Gap13.9 behind | Reported by Reflection AI | Weighted benchmarkScored in Agentic |
| SWE-Atlas Codebase QnA | 32.2% | Best verified: Ling 3.1 Flash · 64.5% | Gap32.3 behind | Reported by Reflection AI | Shown only |
| SWE-bench VerifiedSoftware Engineering Benchmark Verified | 80.2% | Best verified: Claude Opus 5 · 96% | Gap15.8 behind | Reported by Reflection AI | Shown only |
Agentic6 rows
| Benchmark | Score | Versus best verified row | Gap | Who ran it | Use in ranking |
|---|---|---|---|---|---|
| Terminal-Bench 2.1 | 78.9% | Best verified: SWE-2 · 92.8% | Gap13.9 behind | Reported by Reflection AI | Weighted benchmark9% ref. weight |
| BrowseComp | 76.7% | Best verified: Atria Dawn Preview · 92.5% | Gap15.8 behind | Reported by Reflection AI | Weighted benchmark9% ref. weight |
| MCP Atlas | 81.5% | Best verified: Muse Spark Open · 89.2% | Gap7.7 behind | Reported by Reflection AI | Weighted benchmark5% ref. weight |
| HLE w/ toolsHumanity's Last Exam with tools | 51.1% | Best verified: Kimi K3.1 Pro · 70.0% | Gap18.9 behind | Reported by Reflection AI | Weighted benchmark3% ref. weight |
| τ³-bench resultsτ³-Bench Tool-Agent-User Evaluation | 36.8% | Best verified: Mercury 2.5 · 96.0% | Gap59.2 behind | Reported by Reflection AI | Weighted benchmark2% ref. weight |
| DeepSearchQA | 79.6% | Best verified: Atria Dawn Preview · 96.0% | Gap16.4 behind | Reported by Reflection AI | Weighted benchmark2% ref. weight |
Reasoning2 rows
| Benchmark | Score | Versus best verified row | Gap | Who ran it | Use in ranking |
|---|---|---|---|---|---|
| CritPtCritical Physics Tasks | 17.4% | Best verified: Claude Fable 5.2 · 35.4% | Gap18 behind | Reported by Reflection AI | Weighted benchmark25% ref. weight |
| LongBench v2 | 67.6% | Best verified: Inkling 2 Small · 70.6% | Gap3 behind | Reported by Reflection AI | Weighted benchmark5% ref. weight |
Knowledge2 rows
| Benchmark | Score | Versus best verified row | Gap | Who ran it | Use in ranking |
|---|---|---|---|---|---|
| HLE w/o toolsHumanity's Last Exam without tools | 36% | Best verified: Claude Fable 5.2 · 73.2% | Gap37.2 behind | Reported by Reflection AI | Weighted benchmark7% ref. weight |
| GPQA-DGPQA Diamond | 90.3% | Best verified: GPT-6 Astra · 96.0% | Gap5.7 behind | Reported by Reflection AI | Shown only |
Inst. Following1 row
| Benchmark | Score | Versus best verified row | Gap | Who ran it | Use in ranking |
|---|---|---|---|---|---|
| IFBenchInstruction Following Benchmark | 80.7% | Best verified: Flint · 89.2% | Gap8.5 behind | Reported by Reflection AI | Weighted benchmarkWeighted 70% |
Math1 row
| Benchmark | Score | Versus best verified row | Gap | Who ran it | Use in ranking |
|---|---|---|---|---|---|
| AIME26AIME 2026 | 98.0% | Best verified: GLM-5.2 · 99.2% | Gap1.2 behind | Reported by Reflection AI | Weighted 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.
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
- Context window
- 1MReflection Beam 1.0 FP8 model card
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- textReflection Beam 1.0 FP8 model card
- Output modalities
- textReflection Beam 1.0 FP8 model card
- Parameters
- Not sourced yet
- Availability
- Hugging Face · self-hosted inferenceReflection Beam 1.0 FP8 model card
- Cloud regions
- Not tracked yet
- Lifecycle
- activeReflection Beam 1.0 FP8 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 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 parametersQuestions
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.