How much does Qwen3 Coder Next cost?

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.

What is the context length of Qwen3 Coder Next?

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

Does Qwen3 Coder Next support tool calling and structured outputs?

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

Which providers serve Qwen3 Coder Next?

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.

When was Qwen3 Coder Next released?

Qwen3 Coder Next was released on 2026-02-04.

Qwen: Qwen3 Coder Next

Name: Qwen: Qwen3 Coder Next
Author: qwen

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

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).

Latency / throughput


	$0.12	$0.80	$0.07	0.87s	57 tps	99.98%
40% off	$0.30$0.18	$1.50$0.90	$0.06$0.036	1.67s	25 tps	99.44%
	$0.20	$1.50	--	1.73s	18 tps	99.79%
	$0.30	$1.50	--	1.02s	13 tps	99.38%

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).

Throughput

57tok/s

P50, best across providers

Latency

0.87s

P50, best provider

Latency / throughput

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

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.

Uptime (3d)

100.00%

Availability (3d)

99.94%

Availability over the last 3 days

Last 72 hours

Availability 99.94%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

99.96%

Without Routing

97.45%

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.

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.

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