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Favicon for nex-agi

Nex AGI: Nex-N2.6

nex-agi/nex-n2.6

Model weights
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Nex-N2.6 is an agentic model from Nex AGI, built on GLM-5.3-FlashOpens in new tab with about 321B parameters. It is suited for computer use, coding, and long-horizon tasks that involve tools. Compared with Nex-N2.5-Pro, it reduces repetitive reasoning and follows the tools available in the current environment more closely.

Modalities
In / out price
20% off
$0.12 / $0.40per 1M
Context
262K
Released
Nov 10, 2026
Compare
ProvidersPricingPerformanceUptimeAppsActivityFAQExplore

Providers

This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.

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.

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.

API

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.

Not currently available through EU in-region routing. In-region routing docs

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$0.15$0.12$0.50$0.40$0.03$0.0240.89s80 tok/s
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ProviderInput / Output /M
20% offThroughputUptime
  • Favicon for Nex AGI
    Input $0.12 / Output $0.40
    20% off
    Throughput 80 tok/sUptime 100.00%
Throughput
80tok/s

P50, best across providers

Latency
0.89s

P50, best provider

Uptime (3d)The model was reachable. Request routed to a provider.
96.96%
Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
96.96%

Availability over the last 3 days

Last 72 hours
Availability 96.96%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.32%

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 provider routing options.

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Frequently asked questions

Nex-N2.6 is an agentic model from Nex AGI, built on GLM-5.3-Flash with about 321B parameters. It is suited for computer use, coding, and long-horizon tasks that involve tools. Compared with Nex-N2.5-Pro, it reduces repetitive reasoning and follows the tools available in the current environment more closely.

Nex-N2.6 costs $0.12/M input tokens and $0.40/M output tokens, with separate rates for Cache Read at $0.024/M tokens.

Nex-N2.6 has a 262,144 token context window. It supports up to 262,144 completion tokens.

Yes. Nex-N2.6 accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

Nex-N2.6 accepts text and images as input and returns text.

Nex-N2.5-Mini and Nex-N2.5-Pro are other text models from Nex AGI.

Nex-N2.6 was released on November 10, 2026.

More models from nex-agi

Nex-N2.5-Mini

Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes. Its core strength is agentic coding within a visual feedback loop: it can explore codebases, implement multi-file changes, run commands, launch applications, interact with browser and desktop interfaces, and test software from the user's perspective. When observed behavior does not match the intended result, Nex-N2.5 can diagnose the issue, revise its implementation, and test again. This makes it especially effective for autonomous software engineering, GUI-based QA, computer-use automation, deep research, and scientific workflows where success must be demonstrated in the environment—not merely inferred from generated code.

Text262K context$0.025 / $0.10
Nex-N2.5-Pro

Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes. Its core strength is agentic coding within a visual feedback loop: it can explore codebases, implement multi-file changes, run commands, launch applications, interact with browser and desktop interfaces, and test software from the user's perspective. When observed behavior does not match the intended result, Nex-N2.5 can diagnose the issue, revise its implementation, and test again. This makes it especially effective for autonomous software engineering, GUI-based QA, computer-use automation, deep research, and scientific workflows where success must be demonstrated in the environment—not merely inferred from generated code.

Text262K context$0.075 / $0.25
Nex-N2-Mini

Nex-N2-Mini is an open-source agentic mixture-of-experts model from Nex AGI, the smaller sibling in the Nex-N2 series. It accepts text and image input and is built for coding, tool use, deep research, and long-horizon agentic workflows, with a 262K-token context window and native reasoning support.

Text262K context
Nex-N2-Pro

Nex-N2-Pro is an agentic mixture-of-experts model from Nex AGI, with 17B active parameters out of 397B total. Built on the Qwen3.5 architecture, it accepts text and image input and produces text output, and supports reasoning, function calling, and structured outputs. It is designed for coding, tool use, deep research, and long-horizon agentic workflows, unifying planning, code implementation, debugging, and iteration into a single execution loop.

Text262K context
DeepSeek V3.1 Nex N1

DeepSeek V3.1 Nex-N1 is the flagship release of the Nex-N1 series — a post-trained model designed to highlight agent autonomy, tool use, and real-world productivity.

Nex-N1 demonstrates competitive performance across all evaluation scenarios, showing particularly strong results in practical coding and HTML generation tasks.

Text8K context