LIVE
BODYBUILDER$-1000000.00 5.4%
GLM-4-LONG$0.00 14.1%
GEMINI-2.0-FLA$0.30 20.0%
GEMINI-2.0-FLA$0.40 6.6%
-CF$0.00 9.7%
DEEPSEEK-V4-FL$0.28 26.3%
LLAMA-4-MAVERI$0.60 11.9%
GROK-4-FAST$0.50 6.0%
QWEN-PLUS$0.78 0.6%
MINIMAX-M2.1$0.95 2.6%
MINIMAX-M2$1.00 2.9%
MINIMAX-01$1.10 8.0%
GPT-4.1-MINI$1.60 13.7%
GROK-4-1-FAST-$0.50 8.9%
GPT-4.1-MINI-2$1.60 31.8%
XAI$0.00 4.5%
MINIMAX-M2.7$0.00 9.9%
QWEN3.5-FLASH-$0.26 31.0%
GPT-4.1-NANO$0.40 13.0%
GEMINI-2.5-FLA$0.40 0.8%
DEEPSEEK-AI$0.00 27.0%
GROK-4.1-FAST$0.50 16.4%
MINIMAX-M3$1.20 6.1%
GOOGLE$1.50 3.4%
AUTO$0.00 9.7%
GOOGLE$0.00 27.8%
MINIMAX-M2.7$1.20 7.2%
GOOGLE$0.00 0.6%
BODYBUILDER$-1000000.00 5.4%
GLM-4-LONG$0.00 14.1%
GEMINI-2.0-FLA$0.30 20.0%
GEMINI-2.0-FLA$0.40 6.6%
-CF$0.00 9.7%
DEEPSEEK-V4-FL$0.28 26.3%
LLAMA-4-MAVERI$0.60 11.9%
GROK-4-FAST$0.50 6.0%
QWEN-PLUS$0.78 0.6%
MINIMAX-M2.1$0.95 2.6%
MINIMAX-M2$1.00 2.9%
MINIMAX-01$1.10 8.0%
GPT-4.1-MINI$1.60 13.7%
GROK-4-1-FAST-$0.50 8.9%
GPT-4.1-MINI-2$1.60 31.8%
XAI$0.00 4.5%
MINIMAX-M2.7$0.00 9.9%
QWEN3.5-FLASH-$0.26 31.0%
GPT-4.1-NANO$0.40 13.0%
GEMINI-2.5-FLA$0.40 0.8%
DEEPSEEK-AI$0.00 27.0%
GROK-4.1-FAST$0.50 16.4%
MINIMAX-M3$1.20 6.1%
GOOGLE$1.50 3.4%
AUTO$0.00 9.7%
GOOGLE$0.00 27.8%
MINIMAX-M2.7$1.20 7.2%
GOOGLE$0.00 0.6%
CNCodeQWEN-2.5-CODER Live · updated daily

qwen-2.5-coder-32b-instruct

Alibaba Cloud · Qwen
Efficiency score
88/100
+6.8%
Input price
$0.66/ 1M tokens
Output price
$1.00/ 1M tokens
Context window
33K
Throughput
142tok/s
Availability
98.2%
Cost / task
$0.002

Capabilities

Accepts (input)
Text
Produces (output)
Text

7-day heat trend

+6.8%

Pricing breakdown

Input price
$0.66/ 1M tokens
$0.0007 / 1K
Output price
$1.00/ 1M tokens
$0.0010 / 1K
Blended price
$0.92/ 1M tokens
$0.0009 / 1K

Typical 3:1 output-to-input mix, per 1M tokens

Estimated monthly cost by workload

Chat assistant
$318.00/ mo
1K in · 400 out · 10K req/day
RAG / long context
$882.00/ mo
8K in · 600 out · 5K req/day
Agent / tool use
$835.20/ mo
3K in · 1.5K out · 8K req/day
Estimate your cost

Market position

  • Cheaper than 17% of tracked models
  • Faster than 39% of tracked models
  • Efficiency rank: #806 of 1105

Best suited for

Code generation, refactoring and review, and developer-tooling workloads with large context.

About qwen-2.5-coder-32b-instruct

Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Significantly improvements in code gener...

qwen-2.5-coder-32b-instruct is a Code model from Alibaba Cloud · Qwen (CN). HotON.ai tracks it at $0.66 per 1M input tokens and $1.00 per 1M output tokens, with a 33K-token context window, ~142 tokens/sec throughput and 98.2% availability. Its composite efficiency score is 88/100 at an estimated $0.002 per successful task.

Frequently asked questions

How much does qwen-2.5-coder-32b-instruct cost per 1M tokens?+

qwen-2.5-coder-32b-instruct is tracked at $0.66 per 1M input tokens and $1.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.92 per 1M tokens. Figures are illustrative demo data.

What is qwen-2.5-coder-32b-instruct best for?+

Code generation, refactoring and review, and developer-tooling workloads with large context.

How fast is qwen-2.5-coder-32b-instruct?+

qwen-2.5-coder-32b-instruct delivers about 142 tokens/sec with 98.2% tracked availability, suitable for latency-sensitive, real-time applications.

Is qwen-2.5-coder-32b-instruct cheaper than other AI models?+

Within the HotON.ai tracked set, qwen-2.5-coder-32b-instruct is cheaper than 17% of models on input price and ranks #806 of 1105 by overall efficiency.

Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Speed, availability and efficiency are modeled estimates.