Skip to content
Not available in this workspace
OpenRouterOpenRouter
© 2026 OpenRouter, Inc

Product

  • Chat
  • Rankings
  • Benchmarks
  • Apps
  • Discover
  • Models
  • Collections
  • Providers
  • Pricing
  • Enterprise
  • Labs

Company

  • About
  • Blog
  • Careers
    Hiring
  • Privacy
  • Terms of Service
  • Support
  • Works With OR
  • Data

Developer

  • Documentation
  • API Reference
  • Developer Platform
  • Status

Connect

  • Discord
  • GitHub
  • LinkedIn
  • X
  • YouTube
Favicon for qwen

Qwen: Qwen3 Coder Next

qwen/qwen3-coder-next

Model weights
Compare

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 token, delivering performance comparable to models with 10 to 20x higher active compute, which makes it well suited for cost-sensitive, always-on agent deployment.

The model is trained with a strong agentic focus and performs reliably on long-horizon coding tasks, complex tool usage, and recovery from execution failures. With a native 256k context window, it integrates cleanly into real-world CLI and IDE environments and adapts well to common agent scaffolds used by modern coding tools. The model operates exclusively in non-thinking mode and does not emit <think> blocks, simplifying integration for production coding agents.

Modalities

In / Out Price

$0.12 / $0.80per 1M

Context

262K

Released

Feb 4, 2026

Compare

About Qwen: Qwen3 Coder Next

OpenRouter makes Qwen: Qwen3 Coder Next available through a unified, OpenAI-compatible API using the model ID qwen/qwen3-coder-next. Requests can be routed across 4 providers, including Parasail, StreamLake, NovitaAI and Alibaba Cloud Int., with automatic failover when an endpoint is unavailable.

Qwen: Qwen3 Coder Next accepts text and returns text. It has a 262,144-token context window and a maximum output of 262,144 tokens.

On OpenRouter, Qwen: Qwen3 Coder Next costs $0.12/M input tokens and $0.80/M output tokens, with separate rates for Cache Read at $0.07/M tokens. Effective pricing can be lower when prompt caching applies. It was released on February 4, 2026.

More models from Qwen

  • Qwen3.8 27B
  • Qwen3 Reranker 8B
  • Qwen3 ASR 1.7B

Frequently asked questions

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 token, delivering performance comparable to models with 10 to 20x higher active compute, which makes it well suited for cost-sensitive, always-on agent deployment.

Qwen3 Coder Next costs $0.12/M input tokens and $0.80/M output tokens, with separate rates for Cache Read at $0.07/M tokens.

Qwen3 Coder Next has a 262,144 token context window. It supports up to 262,144 completion tokens.

Yes. Qwen3 Coder Next accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

Qwen3 Coder Next is served by 4 providers on OpenRouter: Parasail, StreamLake, NovitaAI and Alibaba Cloud Int.. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.

Qwen3 Coder Next was released on February 4, 2026.

ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQ

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), or Exacto (highest tool-calling accuracy).

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows where this model lands among all models on OpenRouter.

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

Quick Start

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

$0.12$0.80$0.070.56s57 tps
100.00%
40% off
$0.30$0.18$1.50$0.90$0.06$0.0360.63s116 tps
99.51%
$0.20$1.50--1.70s31 tps
99.27%
$0.30$1.50--0.86s26 tps
99.49%

Throughput

116tok/s

P50, best across providers

Latency

0.56s

P50, best provider

AutoExacto Benchmarks
GPQA DiamondTAU-Bench
Alibaba Cloud Int.
75.8%59.3%
Parasail
74.2%59.9%
StreamLake
74.5%59.5%
auto-routing
74.3%52.1%
Ionstream
67.6%45.8%
+1 more providers
Uptime (3d)

100.00%

Availability (3d)

99.97%

Availability over the last 3 days

Last 72 hours
Availability 99.97%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.98%
Without Routing
96.80%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.

1.
Favicon for https://nousresearch.com
Hermes Agent
Hermes Agent is an open-source, self-improving AI agent by Nous Research that runs persistently with memory across sessions, and builds reusable skills from experience. It comes with 40+ built-in tools, including web search, browser automation, and vision, plus scheduled automations and subagents.
5.71Btokens
2.
Favicon for https://pi.dev/
pi
There are many coding agents, but this one is yours.
5.59Btokens
3.
Favicon for https://claude.ai/apple-touch-icon.png
Claude Code
Claude Code is Anthropic's agentic coding tool that reads your entire codebase, plans and executes changes across files, runs tests, and iterates on failures, all from natural language prompts.
5.35Btokens
4.
Favicon for https://cline.bot/
Cline
Cline is an open-source AI coding agent that lives inside your IDE, autonomously exploring your codebase, editing files, running terminal commands, and using browser automation.
4.34Btokens
5.
Favicon for https://openclaw.ai/
OpenClaw
OpenClaw is an open-source AI agent that connects to your messaging apps and takes real actions on your behalf, from running commands and browsing the web to managing files and sending emails.
2.84Btokens