Beam 1.0 501B-A23B FP8 vs Beam 1.0 501B-A23B NVFP4

Change models
Beam 1.0 501B-A23B FP8Reflection AI
IndexAll categories, out of 100.
59.2 ±5.4 best
58.5 ±5.4
GapIndex points below the top.
Top
−0.7 · no clear gap
CoverageIndex weight that has results.
85%
85%
SpeedOutput tokens per second.
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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.
55.4 best
55.0
CodingCode writing and repair.
61.4 best
60.8
ReasoningLogic problems and puzzles.
64.3 best
62.7
MultimodalTasks with images and text.
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KnowledgeFacts and expert knowledge.
60.3 best
59.2
MultilingualTasks in many languages.
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InstructionTasks with strict prompt rules.
64.4 best
63.0
MathMath problems.
55.8 best
55.5

Benchmarks

18 shared
Beam 1.0 501B-A23B FP8
Beam 1.0 501B-A23B NVFP4
79.4% best51 / 217
78.7%61 / 217
17.4% best41 / 214
15.4%48 / 214
80.2%19 / 114
80.7% best15 / 114
78.9% best39 / 86
78.4%40 / 86
90.3% best28 / 84
89.3%36 / 84
65.9% best13 / 83
65.6%15 / 83
BrowseCompAgentic
76.7% best36 / 63
75.6%38 / 63
DeepSWEAgentic
43.0% best55 / 59
42.7%56 / 59
80.7% best10 / 57
79.2%17 / 57
36.0% best30 / 53
34.8%33 / 53
MCP AtlasAgentic
81.5% best13 / 52
80.5%15 / 52
51.1%25 / 36
51.1%25 / 36
48.3% best11 / 35
46.9%14 / 35
98.0% best2 / 34
97.5%4 / 34
36.8% best20 / 32
35.4%22 / 32
LongBench v2Reasoning
67.6% best2 / 25
67.2%4 / 25
79.6%15 / 24
81.1% best13 / 24
32.2%
31.4%