Exaone 4.0 1.2B

Exaone 4.0 1.2B is a non-reasoning model from LG AI Research in the Exaone 4.0 family. 8 benchmarks count toward its score, in 4 categories.

availableShows if the model has enough results for an index.
IndexOverall score out of 100.22.9 ±10.2
CoverageShare of the index weight with results.55%
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.128K
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.
13.5
CodingCode writing and repair.
N/A
ReasoningLogic problems and puzzles.
23.3
MultimodalTasks with images and text.
N/A
KnowledgeFacts and expert knowledge.
22.9
MultilingualTasks in many languages.
N/A
InstructionTasks with strict rules in the prompt.
14.8
MathMath problems.
N/A

Results

8 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 DiamondKnowledge42.4%12.0Artificial Analysis
Artificial Analysis IFBenchInstruction25.3%14.8Artificial Analysis
τ²-Bench Tool-Agent-User EvaluationAgentic20.5%13.5Victor Barres et al.
Artificial Analysis Humanity's Last ExamKnowledge5.7%30.7Artificial Analysis
Artificial Analysis Intelligence IndexKnowledge5.2%28.9Artificial Analysis
Artificial Analysis Omniscience AccuracyKnowledge5.0%20.1Artificial Analysis
Artificial Analysis Long Context ReasoningReasoning0.0%8.3Artificial Analysis
Critical Physics TasksReasoning0.0%38.4Artificial Analysis

8 benchmarks count, from 8 of 8 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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