RETIRED MAY 13 2026LEGACY QWEN 2.5131K CONTEXTTEXTBATCH -50%
Qwen2.5 14B Instruct API Pricing
Qwen 2.5 14B Instruct was retired by Alibaba (Qwen) on May 13, 2026 - the qwen2.5-14b-instruct model id no longer answers. Its last listed rates were $0.35/M input and $1.40/M output, kept here for invoice checks and migration math. Checked against Alibaba Cloud's Model Studio retirement notice 1840.
Input - per 1M tokens
$0.35/M
Source Alibaba Cloud flat
Output - per 1M tokens
$1.40/M
Context 131K flat
Cache N/A
$0.35/M
Cache no dollar row not listed
Effective - agentic blend
$0.434/M
92/8 split - no cache
§ 01 / TERMINAL
Run the numbers.
Live calculator pre-loaded with current Qwen2.5 14B Instruct rates. Tweak spend, output mix, or cache assumptions and share the URL to share the calculation.
$ /mo
Workload split
Tokens you can process
—
Words equivalent (English)
—
Effective rate
—
§ 02 / SCENARIOS
Real-world presets.
CHATBOT
Support assistant
$0.00171/turn
RAG
Knowledge base answer
$0.00455/query
CODE REVIEW
Repository review
$0.0091/task
CLASSIFY
Intent routing
$0.00063/item
Calibrated · measured on the vendor's tokenizer · 2026-06-10 Auto-counts as you type
Counts use a chars-per-token calibration measured on the vendor's own published tokenizer (Qwen/Qwen3.5-397B-A17B, 2026-06-10). English prose is typically within a few percent; code and non-Latin scripts tokenize heavier. For billing-exact counts use the vendor's count-tokens API.
Characters 451
Words 69
Tokens (estimated) 86 tokens
Cost as input · uncached $0.00003 USD
Cost as output · uncached $0.00012 USD
| Model | Input /M | Output /M | Effective blended | Context | Best for |
|---|---|---|---|---|---|
| Qwen 2.5 14B Instruct Current | $0.35 | $1.40 | $0.434 agentic 92/8 | 131K | Legacy compact open Qwen apps |
| Qwen 2.5 32B Instruct | $0.70 | $2.80 | $0.868 retired | 131K | Legacy 32B open chat workloads |
| Qwen 2.5 7B Instruct | $0.175 | $0.70 | $0.217 retired | 131K | Legacy small open Qwen deployments |
| Qwen3 14B | $0.35 | $1.40 | $0.434 deprecated · same | 131K | Current compact open Qwen reasoning |
| Qwen3 32B | $0.16 | $0.64 | $0.198 deprecated · −2.2× | 131K | Current open 32B chat and reasoning |
| Qwen 3.5 Flash | $0.10 | $0.40 | $0.124 −3.5× | 1M | Cheap long-context Qwen traffic |
| GPT-5.4 mini | $0.75 cache $0.075 | $4.50 | $0.541 +25% | 400K | OpenAI mini coding and CUA |
Frequently asked.
Practical pricing questions, separated from calculator assumptions and regional tiers.
Q · 01 Can I still call Qwen 2.5 14B Instruct? +
No. Alibaba (Qwen) retired
qwen2.5-14b-instruct on May 13, 2026, and requests to it now fail. The rates on this page are the last ones Alibaba (Qwen) listed, kept for reading old invoices and for estimating a migration.Q · 02 What is Qwen2.5 14B Instruct priced at? +
Qwen2.5 14B Instruct is listed at
$0.35/M input and $1.4/M output in Alibaba Cloud Model Studio's International/Singapore deployment section. The page stores USD per-million-token pricing.Q · 03 What replaced Qwen2.5 14B Instruct? +
Alibaba's retirement notice pointed Qwen2.5 users to the Qwen3.6 series - for example Qwen3.6 Flash or Qwen3.6 Plus. The Qwen3 open snapshots this page used to suggest go offline on October 10, 2026.
Q · 04 Does this page use International or Global pricing? +
This page uses Alibaba Cloud Model Studio International deployment pricing, where endpoint and data storage are in Singapore and inference resources are dynamically scheduled globally excluding Chinese Mainland. Global, US, EU, China (Hong Kong), and Chinese Mainland sections can list different prices.
Q · 05 Is prompt caching priced separately? +
Alibaba marks context-cache support on some Qwen rows, but this row does not publish a concrete cache-read dollar price in the pricing table. The calculator therefore treats cached input as the same
$0.35/M baseline instead of inventing a discount.Q · 06 How is the effective price calculated? +
AI//COST uses the same 92/8 agentic blend everywhere. With no separate cache-read price published for this row, Qwen2.5 14B Instruct's effective blended cost is
$0.43/M.Q · 07 Is there a Batch Invocation discount? +
Alibaba documents Batch Invocation as 50% off real-time input and output tokens for supported Qwen rows. The quote tiles show real-time list pricing; batch economics should be treated as a separate calculator variant.
Q · 08 Does Alibaba include a free quota? +
Many International Model Studio rows include a 1 million token free quota that is valid for 90 days after activating Model Studio. Free-quota eligibility is deployment- and model-specific, so production estimates should use the paid list prices shown here.