Ultravox v0.6 Llama 3.3 70B

Ultravox v0.6 Llama 3.3 70B is a non-reasoning model from Fixie AI. 10 benchmarks count toward its score, in 5 categories.

availableShows if the model has enough results for an index.
IndexOverall score out of 100.29.6 ±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.N/A
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.
26.7
CodingCode writing and repair.
27.4
ReasoningLogic problems and puzzles.
28.8
MultimodalTasks with images and text.
N/A
KnowledgeFacts and expert knowledge.
29.4
MultilingualTasks in many languages.
N/A
InstructionTasks with strict rules in the prompt.
36.9
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 DiamondKnowledge49.8%19.6Artificial Analysis
Artificial Analysis IFBenchInstruction47.1%36.9Artificial Analysis
τ²-Bench Tool-Agent-User EvaluationAgentic26.6%17.9Victor Barres et al.
Artificial Analysis Omniscience AccuracyKnowledge19.0%37.4Artificial Analysis
Artificial Analysis Long Context ReasoningReasoning15.7%19.1Artificial Analysis
Artificial Analysis Coding IndexCoding11.9%27.4Artificial Analysis
Artificial Analysis Intelligence IndexKnowledge7.7%32.0Artificial Analysis
Artificial Analysis Humanity's Last ExamKnowledge3.6%28.5Artificial Analysis
GDPval-AA normalizedAgentic0.0%35.6Artificial Analysis
Critical Physics TasksReasoning0.0%38.4Artificial 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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