Alibaba
partialShows if the model has enough results for an index.Qwen3.5 Flash
Qwen3.5 Flash is a reasoning model from Alibaba. 7 benchmarks count toward its score, in 5 categories.
IndexOverall score out of 100.Unranked
CoverageShare of the index weight with results.75%
SpeedOutput tokens per second.—
Input / 1MUS dollars per 1M input tokens.$0.1
Output / 1MUS dollars per 1M output tokens.$0.4
ContextMaximum tokens in one request.1M
EloLMArena rating and rank.1398 (#146)
The index is a score out of 100. The ± range shows how much it can change.
58,193 votes. Elo shows what people prefer. It does not change the score.
CapabilitiesScore per category, out of 100.
Out of 100Results
7 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 | Math | 92.5% | 56.8 | — | 16 Apr 2026 | Vals AI |
| MMLU Pro | Knowledge | 84.1% | 53.0 | — | 1 Sept 2026 | Vals AI |
| LiveCodeBench | Coding | 83.3% | 60.0 | — | 1 Sept 2026 | Vals AI |
| GPQA Diamond | Knowledge | 82.8% | 54.7 | — | 1 Sept 2026 | Vals AI |
| MMMU Pro | Multimodal | 81.9% | 60.6 | — | 1 Sept 2026 | Vals AI |
| SWE-bench | Coding | 64.4% | 49.2 | — | 1 Sept 2026 | Vals AI |
| Terminal-Bench 2.0 | Agentic | 24.7% | 40.3 | — | 4 Jun 2026 | Vals AI |
7 benchmarks count, from 7 of 7 results. A grey row does not count. Too few models took that benchmark.