Alibaba
RankedEnough results for an index.Qwen3.5 397B (Reasoning)
Qwen3.5 397B (Reasoning) is a reasoning model from Alibaba in the Qwen3.5 397B family. 9 benchmarks count toward its index, in 6 categories.
IndexAll categories, out of 100.55.3±6.9Median 51.0
CoverageIndex weight that has results.85%
SpeedOutput tokens per second.—Median 67/s
First tokenSeconds to the first output token.—Median 1.3 s
Input / 1MUS dollars per 1M input tokens.$0.60Median $0.60
Output / 1MUS dollars per 1M output tokens.$3.60Median $2.55
ContextMaximum tokens in one request.128KMedian 262K
EloLMArena rating and rank.—Median 1422
Run locally
403.4B parameters- 16-bit
- 848.1 GB
- 8-bit
- 451.0 GB
- 4-bit
- 257.8 GB
Memory need with a short context. The 4-bit copy needs more than 128 GB. Compare local models
Capabilities
Index per category, out of 100.Results
9 countedBenchmarkThe benchmark name.ResultThe score from the source.PlacePlace among results on this benchmark.
Sources
BenchLMCC BY-NC 4.0History
5 releases23 Oct 202612 Nov 2026
23 Oct 202612 Nov 2026
Questions
- How much does Qwen3.5 397B (Reasoning) cost?
- $0.60 per 1M input tokens, $3.60 per 1M output tokens.
- How good is Qwen3.5 397B (Reasoning)?
- Its index is 55.3 out of 100. That is place 99 of 283 ranked models.
- What is Qwen3.5 397B (Reasoning) best at?
- Knowledge: 56.3 out of 100, place 84 of 268.
- What is the context window of Qwen3.5 397B (Reasoning)?
- 128K tokens.
- Is Qwen3.5 397B (Reasoning) open source?
- Yes. Its weights are published.
- When was Qwen3.5 397B (Reasoning) released?
- February 2026.
Badge
- HTML
<a href="https://inference360.ai/models/qwen3-5-397b-reasoning"><img src="https://inference360.ai/badges/qwen3-5-397b-reasoning.svg" alt="Qwen3.5 397B (Reasoning) on Inference360: place 99 of 283, index 55.3" height="20"></a>- Markdown
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