# Qwen3.5-9B

Qwen3.5-9B costs $0.10 per million input tokens and $0.15 per million output tokens, as of October 22, 2026. None of the 6 coding benchmarks behind the index has measured it, so it has no coding index, but 15 benchmarks outside the index have a result below.

Page: https://llmbenchmark.ai/models/qwen3-5-9b
Data from October 22, 2026. Every figure below names the board it was read from and the day.

- Maker: Qwen
- Released: March 10, 2026
- Price per million input tokens: $0.10
- Price per million output tokens: $0.15
- Context window: 262K tokens

Benchmark results (15 of 195):

- AA Intelligence Index: 13.3 (source: Artificial Analysis (via OpenRouter), read October 22, 2026)
- AA Coding Index: 23.5 (source: Artificial Analysis (via OpenRouter), read October 22, 2026)
- GPQA Diamond (Artificial Analysis run): 80.6% (source: Artificial Analysis, read October 22, 2026)
- Humanity's Last Exam (Artificial Analysis run): 14.9% (source: Artificial Analysis, read October 22, 2026)
- SciCode: 29.5% (source: Artificial Analysis, read October 22, 2026)
- Terminal-Bench Hard (Artificial Analysis run): 24.2% (source: Artificial Analysis, read October 22, 2026)
- IFBench: 66.7% (source: Artificial Analysis, read October 22, 2026)
- Long context reasoning (AA-LCR): 70.0% (source: Artificial Analysis, read October 22, 2026)
- τ²-Bench Telecom: 86.8% (source: Artificial Analysis, read October 22, 2026)
- Terminal-Bench: 9.2% (source: Epoch AI benchmarking hub, read October 22, 2026)
- GPQA Diamond (Epoch AI run): 79.0% (source: Epoch AI benchmarking hub, read October 22, 2026)
- OTIS Mock AIME: 61.7% (source: Epoch AI benchmarking hub, read October 22, 2026)
- DTBench: 71.2% (source: Epoch AI benchmarking hub, read October 22, 2026)
- LMCA: 24.5% (source: Epoch AI benchmarking hub, read October 22, 2026)
- Epoch Capabilities Index: 139.3 (source: Epoch AI benchmarking hub, read October 22, 2026)