Qwen3 14B
by Alibaba (Qwen) · qwen/qwen3-14b · #46 cheapest of 325 paid models
Prices updated Jul 22, 2026, 2:26 AM UTC · refreshed hourly
Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$0.12
per 1M tokens
Output
$0.24
per 1M tokens
Blended (3:1)
$0.15
3 input : 1 output
Cache read
—
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Qwen3 14B (no cache-read rate published — hits billed as normal input).
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.15 | $0.0125 | — |
| 50% | $0.15 | $0.0125 | −0% |
| 90% | $0.15 | $0.0125 | −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 | $0.000132 | $0.132 |
| Document summary | 8,000 | 1,000 | $0.0012 | $1.20 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.00408 | $4.08 |
| Long-context analysis | 150,000 | 5,000 | $0.0192 | $19.20 |
Performance
Intelligence Index
10.4
AA composite quality
Coding Index
13.8
Math Index
—
Agentic Index
1.8
Output speed
—
median
Time to first token
—
median
Time to first answer
—
after reasoning tokens
Specs
Context window
131K
tokens
Max output
16K
tokens
Input modalities
text
Tokenizer
Qwen3