AI Observatory / Model Radar
Qwen / qwen/qwen3.5-9b
Qwen: Qwen3.5-9B
Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design...
262,144
Context
81,920
Max output
$0.04 / 1M
Prompt price
2026-03-10
Created
01 / Snapshot
Pricing, context, modalities, and parameters.
Model Radar detail pages stay neutral and operator-readable: core metadata first, then workflow fit.
| Provider | Qwen | Input modalities | text, image, video |
|---|---|---|---|
| Output modalities | text | Prompt price | $0.04 / 1M |
| Completion price | $0.15 / 1M | Request price | N/A |
| Context length | 262,144 | Max completion tokens | 81,920 |
| Supported parameters | frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p | ||
Best for
qwen/qwen3.5-9b
Qwen: Qwen3.5-9B
Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design...
Deep analysis
Coding workflows
Cross-modal work
Long context
new
vision
tool-capable
long-context
low-cost
03 / Colophon
Routes and exits.
Each model page stays simple: overview, compare, related models, then back to the public hub.