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ReflectionOpen weightsReasoning modelNewReleased 16 Oct 2026Compare with another model

Beam 1.0

Reasoning effort

Beam 1.0 is a Reflection open-weights reasoning model, released 16 Oct 2026. Its best configuration ranks #246 of 775 on the BenchLeader Index at 54.6 ±8.6, in the upper half. The ± is the point: 423 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in long context (64) and lowest in agents & tools (43). At $1.05 per million tokens blended it is pricier than most ranked models. Output speed of 345 tokens per second puts it in the fastest quarter, with a first answer in 6.6 s. It has been measured at 5 reasoning-effort settings; this summary describes the best-scoring one, and the tabs above switch between them. Last measured 16 Oct 2026.

Blended price
$1.05/M
$0.700 in · $2.10 out
Output speed
345 tok/s
measured by Artificial Analysis
First answer
6.58 s
Context
1.0M
Full answer
8.03 s
median, reasoning included
Cost per run
$0.566
one full Intelligence Index run
Released
16 Oct 2026
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Overall index55
  2. Reasoning63
  3. Agents & tools43
  4. Knowledge62
  5. Long context64
  6. Composite50

Reasoning-effort configurations

The same model behaves differently depending on how much it is allowed to think. Each row is one setting, scored only on the benchmarks that were run at that setting. “Not stated” collects results from publishers that did not say which setting they used; for a reasoning model that is usually its thinking mode, but we do not assume it. Pick a setting here or at the top of the page to see its price, speed and category scores.

EffortIndexRankSpeedFirst answerChat reply costCategories
low––345 tok/s6.58 s$0.0009Reasoning 36
medium––345 tok/s6.58 s$0.0009Reasoning 39
high––345 tok/s6.58 s$0.0009Reasoning 45
xhigh––345 tok/s6.58 s$0.0009Reasoning 47
not statedbest54.6#246345 tok/s6.58 s$0.0009Agents & tools 43 · Composite 50 · Knowledge 62 · Long context 64 · Reasoning 63

How its index has moved

17 Oct 2026 to 20 Oct 2026
465665

The index is recomputed from scratch every day, so a line moves when a new benchmark result lands, when a publisher revises a score, or when the models it is normalised against change. Early movement usually means the score is still settling.

Benchmark results

See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.

Reasoning

Benchmarklowmediumhighxhighnot statedSourceTrend
LiveBench 2.0 Reasoningnot in indexeffort not stated––––80.2%#38LiveBench
Humanity's Last Exam (AA)not in indexeffort not stated––––34.7%#122Artificial Analysis
ARC-AGI-145.0%#17355.7%#16067.7%#13874.0%#127–ARC Prize
ARC-AGI-22.8%#1846.4%#15920.0%#13323.5%#130–ARC Prize
CritPteffort not stated––––13.1%#102Artificial Analysis

Coding

Benchmarknot statedSourceTrend
LiveBench 2.0 Codingnot in index83.9%#25LiveBench
SciCode (AA)not in index48.5%#122Artificial Analysis
Vibe Code Bench v1.1not in index66.4%#46Vals AI
Terminal-Bench 4.0 (AA)not in index3.0%#106Artificial Analysis

Knowledge

Multimodal

Benchmarknot statedSourceTrend
LiveBench Designnot in index67.9%#38LiveBench

Long context

Benchmarknot statedSourceTrend
AA-LCR78.0%#120Artificial Analysis

Composite

Benchmarknot statedSourceTrend
LiveBench 2.055.5%#40LiveBench
AA Intelligence Index v4.3.230.3#119Artificial Analysis
Vals Indexnot in index43.4#20Vals AI
AA Cyber Indexnot in index33.7#11Artificial Analysis

What a task costs

Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache. Reasoning tokens are not modelled.

WorkloadTokens in / outCostWith cachingTime
Chat reply400 / 300$0.0009–7.4 s
Summarize a 30-page report12,000 / 600$0.0097–8.3 s
Code edit6,000 / 1,500$0.0074–10.9 s
Agentic coding session60,000 / 4,000$0.050–18.2 s
Structured extraction2,000 / 200$0.0018–7.2 s

More from Reflection

New this month

See also

Data as of 21 Oct 2026. Compare these configurations.

Cite as: BenchLeader, “Beam 1.0: benchmarks, pricing, speed and rank”, https://www.benchleader.com/models/reflection-beam, data as of 21 Oct 2026.