LangMart: Qwen: Qwen3 Coder Flash
Model Overview
| Property | Value |
|---|---|
| Model ID | openrouter/qwen/qwen3-coder-flash |
| Name | Qwen: Qwen3 Coder Flash |
| Provider | qwen |
| Released | 2025-09-17 |
Description
Qwen3 Coder Flash is Alibaba's fast and cost efficient version of their proprietary Qwen3 Coder Plus. It is a powerful coding agent model specializing in autonomous programming via tool calling and environment interaction, combining coding proficiency with versatile general-purpose abilities.
Description
LangMart: Qwen: Qwen3 Coder Flash is a language model provided by qwen. This model offers advanced capabilities for natural language processing tasks.
Provider
qwen
Specifications
| Spec | Value |
|---|---|
| Context Window | 128,000 tokens |
| Modalities | text->text |
| Input Modalities | text |
| Output Modalities | text |
Pricing
| Type | Price |
|---|---|
| Input | $0.30 per 1M tokens |
| Output | $1.50 per 1M tokens |
Capabilities
- Max tokens
- Presence penalty
- Response format
- Seed
- Temperature
- Tool choice
- Tools
- Top p
Detailed Analysis
Qwen3-Coder-Flash is the speed-optimized coding model in the Qwen 3 Coder lineup, designed for latency-critical code generation tasks. Released May 2025. Key characteristics: (1) Architecture: Smaller specialized transformer (likely 4B-8B scale) optimized for fast inference while maintaining strong code generation capabilities; inherits Qwen 3 architectural improvements with code specialization; (2) Performance: Balances speed and capability - faster than standard Qwen3-Coder while maintaining competitive code quality; suitable for real-time IDE suggestions and rapid prototyping; (3) Language Support: Covers major programming languages (Python, JavaScript, TypeScript, Java, C++, Go) with emphasis on common development tasks; (4) Use Cases: Real-time IDE autocomplete, rapid code suggestions, interactive coding environments, high-throughput code generation services, latency-critical applications, embedded coding assistants; (5) Context Window: Optimized context (likely 32K-64K tokens) balancing speed and understanding; (6) Trade-offs: Lower latency than standard Qwen3-Coder but reduced capability on complex reasoning tasks. Best for applications prioritizing response speed over maximum capability - ideal for interactive coding tools where sub-second latency is critical for user experience.