
Qwen3 Coder Plus / Chat
Powered by Qwen3, this is a powerful Coding Agent that excels in tool calling and environment interaction to achieve autonomous programming. It combines outstanding coding proficiency with versatile general-purpose abilities.
Press Enter to add, Backspace to remove
Playground Chat
Inicie una conversación con el modelo de IA. Puede preguntar lo que desee.
Las respuestas generadas por IA pueden variar en precisión.
Qwen3 Coder PlusProduction Chat with Optional Search
Qwen3 Coder Plus is a production chat model with streaming defaults, optional enable_search for grounded answers, seed control, and standard sampling.

At a Glance
Qwen3 Coder Plus Capabilities
Grounded chat for product and knowledge surfaces.

Optional Live Search
enable_search can ground answers in fresh web results when the task needs current facts.

Streaming Default
stream defaults to true for paint-as-you-go chat UX.

Seed & Sampling
Optional seed plus temperature and top-p for reproducible, tunable replies.

Stop Sequences
Bound generation for parsers and structured product flows.
How It Works
Grounded chat in four steps.
Decide Search Need
Enable enable_search when answers need current facts.
Stream Tokens
Consume SSE for immediate UI paint.
Pin Seed for Eval
Use seed when building regression or golden sets.
Bound Output
Apply stop sequences for structured flows.
Qwen3 Coder Plus Domains
Where answers need freshness and control.
Knowledge Assist
Search-grounded answers for support and docs.
Research Chat
Current-events synthesis with streaming UX.
Product Q&A
Grounded product facts for storefronts.
Internal Wikis
Seed-reproducible answers for eval sets.
Prompt Tips
Keep Coder Plus answers useful.
Request citations or source names when enable_search is on.
Skip search for rewrites and tone edits to save latency.
Seeds make golden-set comparisons reproducible.
Coder Plus Quickstart
Search-aware streaming chat.
curl -X POST "https://api.powertokens.ai/v1/chat/completions" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen3-coder-plus",
"messages": [
{"role": "user", "content": "What are the latest best practices for prompt caching in production LLM stacks?"}
],
"stream": true,
"temperature": 0.7
}'Technical Specifications
Confirmed parameters and runtime execution protocols.
Detalles de precios
La facturación real de este modelo se calcula dinámicamente en función de los parámetros específicos de su solicitud API. A continuación se muestran las combinaciones específicas y sus precios correspondientes:
| Modalidad | Créditos de entrada | Créditos de salida | Precio de entrada | Precio de salida | Caché implícito | Caché explícito | Creación de caché |
|---|---|---|---|---|---|---|---|
| 0 - 32K | 1,000/ 1M Tokens | 5,000/ 1M Tokens | $1.000 | $5.000 | $0.200 200/ 1M Tokens | $0.100 100/ 1M Tokens | $1.250 1,250/ 1M Tokens |
| 32K - 128K | 1,800/ 1M Tokens | 9,000/ 1M Tokens | $1.800 | $9.000 | $0.360 360/ 1M Tokens | $0.180 180/ 1M Tokens | $2.250 2,250/ 1M Tokens |
| 128K - 256K | 3,000/ 1M Tokens | 15,000/ 1M Tokens | $3.000 | $15.000 | $0.600 600/ 1M Tokens | $0.300 300/ 1M Tokens | $3.750 3,750/ 1M Tokens |
| 256K - 1M | 6,000/ 1M Tokens | 60,000/ 1M Tokens | $6.000 | $60.000 | $1.200 1,200/ 1M Tokens | $0.600 600/ 1M Tokens | $7.500 7,500/ 1M Tokens |
Models from the Same Channel
Explore complementary models and alternative versions from the same provider channel.


Qwen3.8 Flash
qwen3.8-flash
Alibaba's cost-efficient multimodal reasoning model. Supports text, image, and video inputs with text output. Features a native 1M-token context window for long documents, codebases, and agentic workflows. Excels in coding assistance, desktop interaction, chart analysis, and long-video understanding. Compatible with OpenAI/Anthropic protocols for seamless integration


Qwen3 Max
qwen3-max
Compared with the September 23, 2025 version, the newly upgraded Qwen-3 Max seamlessly integrates thinking and non-thinking modes, bringing an all-round obvious performance boost. Its thinking mode supports web search, web content extraction and code interpreter. It can conduct in-depth logical reasoning and call external tools to solve intricate problems more precisely


Qwen3.6 Plus
qwen3.6-plus
The Qwen3.6 native vision-language Plus series models demonstrate exceptional performance on par with the current state-of-the-art models, with a significant improvement in overall results compared to the 3.5 series. The models have been markedly enhanced in code-related capabilities such as agentic coding, front-end programming, and Vibe coding, as well as in multi-modal general object recognition, OCR, and object localization.


Qwen3.5 Flash
qwen3.5-flash
The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the 3 series, these models deliver a leap forward in performance for both pure text and multimodal tasks, offering fast response times while balancing inference speed and overall performance.
Recommended Related Models
Explore complementary video and multimodal models with your unified API key.


GLM-5.3
glm-5.3
Zhipu AI's flagship text model optimized for complex software engineering and long-horizon Agent tasks. Features a 1M-token context window with mandatory reasoning (3 levels: low/high/max). Coding capability improved 50% over GLM-5.2 on Z.ai Code Bench; scores SOTA on Terminal Bench 3.0. Excels in cybersecurity tasks (cyber vulnerability discovery)


GLM-5.2
glm-5.2
Flagship text model purpose-built for long-horizon agentic workflows. Features a 1M context window supporting project-level engineering in a single session. Excels at autonomous coding: can complete development, testing, and multi-platform deployment from a single prompt. Top open-weight model per Artificial Analysis; #1 globally on Code Arena. MIT-licensed and Day-0 optimized for domestic AI chips


GLM-5
glm-5
GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on large-scale programming tasks, rivaling leading closed-source models. With advanced agentic planning, deep backend reasoning, and iterative self-correction, GLM-5 moves beyond code generation to full-system construction and autonomous execution.


MiniMax M3
MiniMax-M3
Flagship multimodal foundation model supporting text, image, and video inputs with text output. Features a 1M-token context window via MiniMax Sparse Attention (MSA), cutting per-token compute to ~1/20 of previous gen at full context. Excels at long-horizon agentic work, coding, and tool use. Native multimodal training from step zero ensures deep semantic alignment. Scores 59.0% on SWE-Bench Pro and 83.5 on BrowseComp, surpassing Opus 4.7
Frequently Asked Questions
Everything you need to know before integrating this model.
Start Building with Qwen3 Coder Plus Today
Create an account in seconds to receive 100 free credits and start generating immediately. No credit card or upfront contract required.