qwen3-vl-235b-a22b-instruct
Qwen multimodal model that understands both images and text for vision-language tasks.
Value rank
#17 of 23
intelligence per dollar in our catalogue
Context rank
#7 tied
131K token window
Agentic strength
35%
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 | $0.21 |
| Cache read price | $0.05 |
| Output price | $1.90 |
| Context window | 131K tokens |
| Intelligence / coding index | 14.3 / 16.5 |
| Agentic: tau2 / terminal-bench | 35% / 7% |
| GPQA / MMLU-Pro | 71% / 82% |
Or consider
Close alternatives in the catalogue.
qwen3-coder-30b-a3b-instruct
Intelligence 13.6 · agentic 35%
qwen3-235b-a22b-2507
Intelligence 18.2 · agentic 33%
deepseek-r1-0528
Intelligence 20.1 · agentic 37%
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-vl-235b-a22b-instruct",
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.