qwen3.5-9b
Compact, cost-effective Qwen model for fast, high-volume general tasks.
Value rank
#3 of 23
intelligence per dollar in our catalogue
Context rank
#2 tied
256K token window
Agentic strength
87%
tau2-bench tool-use success
Benchmarks
Independent scores by Artificial Analysis, compared with the strongest models in our catalogue.
Intelligence index
Coding index
Agentic (tau2-bench)
Best for
Where this model earns its keep.
The numbers
Pricing is live from our platform. Prices per 1M tokens, zero data retention on every request.
| Input price | $0.15 |
| Cache read price | $0.04 |
| Output price | $0.20 |
| Context window | 256K tokens |
| Intelligence / coding index | 25 / 25.3 |
| Agentic: tau2 / terminal-bench | 87% / 24% |
| GPQA / MMLU-Pro | 81% / - |
Or consider
Close alternatives in the catalogue.
deepseek-v3.2
Intelligence 24.7 · agentic 79%
nemotron-3-super-120b-a12b
Intelligence 25.4 · agentic 68%
gpt-oss-120b
Intelligence 23.8 · agentic 66%
Quick start
OpenAI-compatible. Switch in one line.
client = OpenAI(base_url="https://api.tensorx.ai/v1", api_key="tsx-...")
r = client.chat.completions.create(
model="qwen/qwen3.5-9b",
messages=[{"role": "user", "content": "Hello"}],
)
Benchmark data from the Artificial Analysis Intelligence Index v4.1, measured independently. Pricing live from the TensorX platform. All inference on EU-sovereign infrastructure with zero data retention.