Qwen3.5 Plus Thinking

Qwen3.5 Plus Thinking is a model from Alibaba. 8 benchmarks count toward its score, in 5 categories.

availableShows if the model has enough results for an index.
IndexOverall score out of 100.49.1 ±8.2
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.
52.3
CodingCode writing and repair.
55.1
ReasoningLogic problems and puzzles.
N/A
MultimodalTasks with images and text.
5.0
KnowledgeFacts and expert knowledge.
58.4
MultilingualTasks in many languages.
N/A
InstructionTasks with strict rules in the prompt.
N/A
MathMath problems.
53.8

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.
GPQA DiamondKnowledge87.4%58.91 Sept 2026Vals AI
MMLU ProKnowledge87.2%57.91 Sept 2026Vals AI
AIMEMath86.0%53.816 Apr 2026Vals AI
LiveCodeBenchCoding85.3%61.91 Sept 2026Vals AI
SWE-benchCoding71.2%54.61 Sept 2026Vals AI
Terminal-Bench 2.0Agentic41.6%52.34 Jun 2026Vals AI
MMMU ProMultimodal22.8%5.01 Sept 2026Vals AI
Vibe Code Bench v1.1Coding15.7%48.7OpenHands21 Sept 2026Vals AI

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 authorsVals AI, collected directlyNo licence stated. Read from the public leaderboard and credited to Vals AI

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