K-Exaone

K-Exaone is a reasoning model from LG AI Research. 10 benchmarks count toward its score, in 5 categories.

availableShows if the model has enough results for an index.
IndexOverall score out of 100.43.6 ±7.6
CoverageShare of the index weight with results.75%
SpeedOutput tokens per second.
Input / 1MUS dollars per 1M input tokens.N/A
Output / 1MUS dollars per 1M output tokens.N/A
ContextMaximum tokens in one request.256K
EloLMArena rating and rank.N/A

The index is a score out of 100. The ± range shows how much it can change.

CapabilitiesScore per category, out of 100.

Out of 100
AgenticMulti-step tasks with tools.
43.8
CodingCode writing and repair.
41.6
ReasoningLogic problems and puzzles.
45.7
MultimodalTasks with images and text.
N/A
KnowledgeFacts and expert knowledge.
40.7
MultilingualTasks in many languages.
N/A
InstructionTasks with strict rules in the prompt.
54.7
MathMath problems.
N/A

Results

10 counted
BenchmarkThe test name.CategoryThe capability that the test measures.ResultThe score from the publisher.IndexThis result as a score out of 100.RunThe settings of the run.DateDate of the result.Published byThe source of the result.
Artificial Analysis GPQA DiamondKnowledge78.3%48.8Artificial Analysis
τ²-Bench Tool-Agent-User EvaluationAgentic74.3%52.1Victor Barres et al.
Artificial Analysis IFBenchInstruction64.7%54.7Artificial Analysis
Artificial Analysis Long Context ReasoningReasoning61.3%50.7Artificial Analysis
Artificial Analysis Coding IndexCoding32.1%41.6Artificial Analysis
Artificial Analysis Omniscience AccuracyKnowledge16.4%34.2Artificial Analysis
Artificial Analysis Intelligence IndexKnowledge14.4%40.4Artificial Analysis
Artificial Analysis Humanity's Last ExamKnowledge13.9%39.6Artificial Analysis
Critical Physics TasksReasoning1.1%40.7Artificial Analysis
GDPval-AA normalizedAgentic0.0%35.6Artificial Analysis

10 benchmarks count, from 10 of 10 results. A grey row does not count. Too few models took that benchmark.

Sources

BenchLM benchmark aggregationUsed with attribution; per-benchmark results credited to their original authors

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