Quasar 438B

Quasar 438B is a reasoning model from Multiverse Computing in the Quasar family. 11 benchmarks count toward its score, in 4 categories.

availableShows if the model has enough results for an index.
IndexOverall score. 50 is the middle.55.5 ±7.9
CoverageShare of the index weight with results.70%
SpeedOutput tokens per second.146/s
Input / 1MUS dollars per 1M input tokens.$0.6
Output / 1MUS dollars per 1M output tokens.$1.8
ContextMaximum tokens in one request.1M
EloLMArena rating and rank.N/A

50 is the middle of the board. The range shows the doubt in the index.

CapabilitiesScore per category. 50 is the middle.

50 is the middle
AgenticMulti-step tasks with tools.
63.3
CodingCode writing and repair.
60.9
ReasoningLogic problems and puzzles.
59.6
MultimodalTasks with images and text.
N/A
KnowledgeFacts and expert knowledge.
44.3
MultilingualTasks in many languages.
N/A
InstructionTasks with strict rules in the prompt.
N/A
MathMath problems.
N/A

Results

11 counted
BenchmarkThe test name.CategoryThe capability that the test measures.ResultThe score from the publisher.IndexThis result on the index scale.RunThe settings of the run.DateDate of the result.Published byThe source of the result.
Artificial Analysis Long Context ReasoningReasoning76.3%61.0Artificial Analysis
Artificial Analysis GPQA DiamondKnowledge73.2%43.6Artificial Analysis
Terminal-Bench 2.1 (provider run)Agentic69.3%65.0DeepSeek-AI
Terminal-Bench 2.1 (provider run)Agentic69.3%65.0DeepSeek-AI
Artificial Analysis Coding IndexCoding61.2%62.1Artificial Analysis
Artificial Analysis SciCodeCoding48.1%59.6Artificial Analysis
GDPval-AA normalizedAgentic33.1%61.0Artificial Analysis
Artificial Analysis Agentic IndexAgentic32.7%63.8Artificial Analysis
Artificial Analysis Intelligence IndexKnowledge26.7%55.8Artificial Analysis
Artificial Analysis Humanity's Last ExamKnowledge18.7%44.8Artificial Analysis
Artificial Analysis Omniscience AccuracyKnowledge15.5%33.0Artificial Analysis
Critical Physics TasksReasoning9.4%58.1Artificial Analysis

11 benchmarks count, from 12 of 12 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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