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%
CNCodeQWEN3-CODER-NE Live · updated daily

qwen3-coder-next

Alibaba Cloud · Qwen
Efficiency score
90/100
21.5%
Input price
$0.12/ 1M tokens
Output price
$0.75/ 1M tokens
Context window
262K
Throughput
169tok/s
Availability
99.9%
Cost / task
$0.001

Capabilities

Accepts (input)
Text
Produces (output)
Text

7-day heat trend

21.5%

Pricing breakdown

Input price
$0.12/ 1M tokens
$0.0001 / 1K
Output price
$0.75/ 1M tokens
$0.0008 / 1K
Blended price
$0.59/ 1M tokens
$0.0006 / 1K

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

Estimated monthly cost by workload

Chat assistant
$126.00/ mo
1K in · 400 out · 10K req/day
RAG / long context
$211.50/ mo
8K in · 600 out · 5K req/day
Agent / tool use
$356.40/ mo
3K in · 1.5K out · 8K req/day
Estimate your cost

Market position

  • Cheaper than 34% of tracked models
  • Faster than 90% of tracked models
  • Efficiency rank: #142 of 1105

Best suited for

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

About qwen3-coder-next

Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total parameters and only 3B activated per...

qwen3-coder-next is a Code model from Alibaba Cloud · Qwen (CN). HotON.ai tracks it at $0.12 per 1M input tokens and $0.75 per 1M output tokens, with a 262K-token context window, ~169 tokens/sec throughput and 99.9% availability. Its composite efficiency score is 90/100 at an estimated $0.001 per successful task.

Frequently asked questions

How much does qwen3-coder-next cost per 1M tokens?+

qwen3-coder-next is tracked at $0.12 per 1M input tokens and $0.75 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.59 per 1M tokens. Figures are illustrative demo data.

What is qwen3-coder-next best for?+

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

How fast is qwen3-coder-next?+

qwen3-coder-next delivers about 169 tokens/sec with 99.9% tracked availability, suitable for latency-sensitive, real-time applications.

Is qwen3-coder-next cheaper than other AI models?+

Within the HotON.ai tracked set, qwen3-coder-next is cheaper than 34% of models on input price and ranks #142 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.