Qwen3.5-35B-A3B
by Alibaba (Qwen) · qwen/qwen3.5-35b-a3b · #147 cheapest of 422 paid models
Prices updated Sep 19, 2026, 6:21 PM UTC · refreshed hourly
The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency. Its overall...
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Pricing
Input
$0.163
per 1M tokens
Output
$1.30
per 1M tokens
Blended (3:1)
$0.447
3 input : 1 output
Cache read
—
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Qwen3.5-35B-A3B (no cache-read rate published — hits billed as normal input).
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.447 | $0.0179 | — |
| 50% | $0.447 | $0.0179 | −0% |
| 90% | $0.447 | $0.0179 | −0% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.000471 | $0.4713 |
| Document summary | 8,000 | 1,000 | $0.0026 | $2.60 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.007475 | $7.48 |
| Long-context analysis | 150,000 | 5,000 | $0.0309 | $30.88 |
Performance
Intelligence Index
19.3
AA composite quality
Coding Index
37
Math Index
—
Agentic Index
—
Output speed
0 tok/s
median
Time to first token
0s
median
Time to first answer
0s
after reasoning tokens
Artificial Analysis benchmarks
| Benchmark | Score |
|---|---|
| GPQA Diamond | 84.5% |
| Humanity's Last Exam | 21.0% |
| IFBench | 72.5% |
| AA-LCR (Long Context Reasoning) | 72.0% |
| Terminal-Bench Hard | 26.5% |
| τ²-Bench (Telecom) | 89.2% |
Specs
Context window
262K
tokens
Max output
66K
tokens
Input modalities
text, image, video
Tokenizer
Qwen3