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Data checked September 25, 2026
Data checked September 25, 2026
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Data checked September 25, 2026 · Every number links to its sourceRSS · Source on GitHub
Leaderboard/Reflection AI
Reflection AI

Reflection AI · Beam

Beam

Closed weightsPreviewNewApache-2.0 promised; weights not yet published

Reflection AI's first model, a 501B / 23B-active coding MoE in waitlist early access. Weights are promised under Apache 2.0 later in October; every score so far is the vendor's own.

AA Intelligence
—
Price
—
Output speed
—
Context window
256K tokens

Coding

  • SWE-bench Verified#2 of 18
    80.9%vendorReflection AI: Introducing Beam ↗

    Leader: Claude Sonnet 5 at 85.2%

  • SWE-bench Pro#8 of 33
    65.5%vendorSWE-bench Pro v1Reflection AI: Introducing Beam ↗

    Leader: Claude Opus 5.5 at 89.9%

  • Terminal-Bench 2.x#24 of 105
    80.1%vendorTerminal-Bench 2.1, vendor harnessReflection AI: Introducing Beam ↗

    Leader: Claude Fable 5.1 at 91.4%

  • SciCode#48 of 100
    49.7%vendorReflection AI: Introducing Beam ↗

    Leader: Claude Opus 5.5 at 66.9%

Agents and tool use

  • MCP Atlas#3 of 10
    78.7%vendorReflection AI: Introducing Beam ↗

    Leader: Kimi K3 at 84.2%

  • BrowseComp#8 of 16
    77.4%vendorwith context managementReflection AI: Introducing Beam ↗

    Leader: GPT-6 Astra at 91.5%

Reasoning and knowledge

  • AIME 2026#3 of 15
    97.8%vendorReflection AI: Introducing Beam ↗

    Leader: ERNIE 5.1 at 99.6%

  • GPQA Diamond#37 of 144
    90.5%vendorReflection AI: Introducing Beam ↗

    Leader: GPT-6 Astra at 96.1%

  • Humanity’s Last Exam#48 of 153
    36.2%vendorno toolsReflection AI: Introducing Beam ↗

    Leader: Claude Sonnet 5.5 at 64.5%

  • CritPt#32 of 144
    16.3%vendorCritPt-AAReflection AI: Introducing Beam ↗

    Leader: Muse Wonder Full at 33%

Vision and long context

  • AA Long Context Reasoning#45 of 144
    79.3%vendorvendor runReflection AI: Introducing Beam ↗

    Leader: Kimi K3 at 88.7%

Other published results

ResultScoreReported bySource
DeepSWE v1.144.4%vendorReflection AI: Introducing Beam ↗
SWE-bench Multilingual78.0%vendorReflection AI: Introducing Beam ↗

Specs

Released
October 5, 2026
Parameters
501B total, 23B active
Size class
500B to 1T
Input
text
Output
text
Context
256K tokens
Max output
128K tokens

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    The planner prices this model against local hardware and other APIs for your workload.

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    Compare with

    • OpenAIGPT-6 Astra52.7
    • OpenAIGPT-6.1 Sol52
    • OpenAIGPT-6 Sol47.5
    • OpenAIGPT-6 Luna37.3