Pokee-Isaac 28B

Pokee-Isaac 28B is a reasoning model from Pokee AI in the Pokee-Isaac family. 3 benchmarks count toward its score, in 1 category.

partialShows if the model has enough results for an index.
IndexOverall score out of 100.Unranked
CoverageShare of the index weight with results.20%
SpeedOutput tokens per second.
Input / 1MUS dollars per 1M input tokens.$0.15
Output / 1MUS dollars per 1M output tokens.$1
ContextMaximum tokens in one request.10M
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.
56.6
CodingCode writing and repair.
N/A
ReasoningLogic problems and puzzles.
N/A
MultimodalTasks with images and text.
N/A
KnowledgeFacts and expert knowledge.
N/A
MultilingualTasks in many languages.
N/A
InstructionTasks with strict rules in the prompt.
N/A
MathMath problems.
N/A

Results

3 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.
PinchBenchAgentic95.7%Kilo Code
MCP-Atlas mean claim coverageAgentic74.6%Anthropic
Berkeley Function Calling Leaderboard v4Agentic70.9%55.9Arcee AI
τ³-Bench Tool-Agent-User EvaluationAgentic66.2%51.4Sierra Research
Terminal-Bench 2.1 (provider run)Agentic65.1%62.5DeepSeek-AI
Terminal-Bench 2.1 (provider run)Agentic65.1%62.5DeepSeek-AI
MRCRv2Reasoning60.7%OpenAI

3 benchmarks count, from 4 of 7 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