Beam 1.0 501B-A23B vs Beam 1.0 501B-A23B FP8

Change models
Beam 1.0 501B-A23BReflection AI
Beam 1.0 501B-A23B FP8Reflection AI
IndexAll categories, out of 100.
60.2 ±4.6 best
59.2 ±5.4
GapIndex points below the top.
Top
−1.0 · no clear gap
CoverageIndex weight that has results.
85%
85%
SpeedOutput tokens per second.
345/s
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EloLMArena rating and rank.
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ReleasedMonth of release.
2026-10
2026-10
Input / 1MUS dollars per 1M input tokens.
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Output / 1MUS dollars per 1M output tokens.
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1K chats2K tokens in, 500 out, each.
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1K documents20K tokens in, 1K out, each.
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1K agent tasks200K tokens in, 20K out, each.
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ContextMaximum tokens in one request.
1M
1M
AgenticMulti-step tasks with tools.
59.3 best
55.4
CodingCode writing and repair.
62.0 best
61.4
ReasoningLogic problems and puzzles.
63.2
64.3 best
MultimodalTasks with images and text.
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KnowledgeFacts and expert knowledge.
56.5
60.3 best
MultilingualTasks in many languages.
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InstructionTasks with strict prompt rules.
63.4
64.4 best
MathMath problems.
55.6
55.8 best

Benchmarks

18 shared
Only Beam 1.0 501B-A23B: 12
Beam 1.0 501B-A23B
Beam 1.0 501B-A23B FP8
78.2%68 / 217
79.4% best51 / 217
16.3%47 / 214
17.4% best41 / 214
81.6% best12 / 114
80.2%19 / 114
80.1% best36 / 86
78.9%39 / 86
90.6% best25 / 84
90.3%28 / 84
66.1% best12 / 83
65.9%13 / 83
BrowseCompAgentic
76.8% best35 / 63
76.7%36 / 63
DeepSWEAgentic
43.3% best54 / 59
43.0%55 / 59
79.6%14 / 57
80.7% best10 / 57
36.0%30 / 53
36.0%30 / 53
MCP AtlasAgentic
80.8%14 / 52
81.5% best13 / 52
51.1%25 / 36
51.1%25 / 36
49.2% best8 / 35
48.3%11 / 35
97.7%3 / 34
98.0% best2 / 34
36.1%21 / 32
36.8% best20 / 32
LongBench v2Reasoning
67.5%3 / 25
67.6% best2 / 25
80.5% best14 / 24
79.6%15 / 24
31.8%
32.2%