Qwen3 VL 8B Thinking
by Alibaba (Qwen) · qwen/qwen3-vl-8b-thinking · #110 cheapest of 325 paid models
Prices updated Jul 22, 2026, 1:34 AM UTC · refreshed hourly
Qwen3-VL-8B-Thinking is the reasoning-optimized variant of the Qwen3-VL-8B multimodal model, designed for advanced visual and textual reasoning across complex scenes, documents, and temporal sequences. It integrates enhanced multimodal alignment and...
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$0.117
per 1M tokens
Output
$1.36
per 1M tokens
Blended (3:1)
$0.429
3 input : 1 output
Cache read
—
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Qwen3 VL 8B Thinking (no cache-read rate published — hits billed as normal input).
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.429 | $0.0133 | — |
| 50% | $0.429 | $0.0133 | −0% |
| 90% | $0.429 | $0.0133 | −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 | $0.000468 | $0.468 |
| Document summary | 8,000 | 1,000 | $0.002301 | $2.30 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.00624 | $6.24 |
| Long-context analysis | 150,000 | 5,000 | $0.0244 | $24.38 |
Specs
Context window
131K
tokens
Max output
33K
tokens
Input modalities
image, text
Tokenizer
Qwen3