Solar Open 2

Solar Open 2 is a reasoning model from Upstage in the Solar Open family. 11 benchmarks count toward its score, in 6 categories.

availableShows if the model has enough results for an index.
IndexOverall score out of 100.55.0 ±6.4
CoverageShare of the index weight with results.85%
SpeedOutput tokens per second.
Input / 1MUS dollars per 1M input tokens.Free
Output / 1MUS dollars per 1M output tokens.Free
ContextMaximum tokens in one request.1M
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.
52.7
CodingCode writing and repair.
57.6
ReasoningLogic problems and puzzles.
51.4
MultimodalTasks with images and text.
N/A
KnowledgeFacts and expert knowledge.
55.8
MultilingualTasks in many languages.
N/A
InstructionTasks with strict rules in the prompt.
59.1
MathMath problems.
57.6

Results

11 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.
AIME 2026Math95.7%54.7Qwen
Harvard-MIT Mathematics Tournament February 2026Math93.9%60.4Qwen
LiveCodeBench v6Coding92.4%61.1LiveCodeBench maintainers
GPQA DiamondKnowledge86.3%57.9David Rein et al.
Massive Multitask Language Understanding ProfessionalKnowledge86.2%56.4Yubo Wang et al.
Instruction Following BenchmarkInstruction80.0%59.1Benchmark authors
Software Engineering Benchmark VerifiedCoding70.4%54.0Carlos E. Jimenez et al.
Artificial Analysis Long Context ReasoningReasoning62.3%51.4Artificial Analysis
MCP AtlasAgentic58.2%52.0OpenAI
Humanity's Last Exam without toolsKnowledge28.8%53.2OpenAI
Terminal-Bench HardAgentic28.3%Artificial Analysis
APEX-AgentsAgentic16.6%53.4Moonshot AI / APEX-Agents benchmark authors

11 benchmarks count, from 11 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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