Nex-N2.5-Pro with Jev
Nex-N2.5-Pro is a model from Nex AGI, released 2026-09-08. It costs $0.075 per million input tokens and $0.250 per million output tokens, reads up to 262K tokens of context, and writes up to 235,929 tokens in one reply. Through llm11, set model to nex-agi/nex-n2.5-pro.
- Input price
- $0.075 / 1M
- Output price
- $0.250 / 1M
- Context window
- 262K tokens
- Max output
- 236K tokens
- Cached input
- $0.015 / 1M
- Released
- 2026-09-08
- Accepts
- text, image
Read from the provider's prompt cache
Read from the live catalogue and refreshed daily. At blended list price, 89% of the 332 priced models we can call cost more.
Using Nex-N2.5-Pro with Jev
Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. Nex-N2.5-Pro does the answering when Jev sends it work, or when you name it yourself. At list price Nex-N2.5-Pro falls in the llm11-fast band, but no pack routes to it because Nex AGI is not one of the labs the packs draw from. You can still pin it: pass nex-agi/nex-n2.5-pro as model and routing steps aside while verification still runs.
Jev is new, so we have not published results for Nex-N2.5-Pro with and without it, and this page does not invent any. Every response comes with a receipt that names the model that answered and what it cost against your most expensive model, so you can measure the pairing on your own traffic.
What a request costs
List price arithmetic, the same sum a receipt does. llm11 adds nothing per request; the only fee is on buying credits.
| Request | Tokens in / out | One | A thousand |
|---|---|---|---|
| Short chat turn | 500 / 200 | $0.00009 | $0.087 |
| Question over retrieved documents | 4,000 / 500 | $0.00042 | $0.425 |
| Long document summary | 30,000 / 1,000 | $0.00250 | $2.50 |
Cheaper models to try
The catalogue has no benchmark score for Nex-N2.5-Pro, so this is a price ordering. It does not claim these answer as well.
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Qwen Qwen3.5-Flash | $0.065 | $0.260 | 1M | |
| Qwen Qwen3.5-9B | $0.100 | $0.150 | 262K | |
| Mistral Ministral 3 3B 2512 | $0.100 | $0.100 | 131K | |
| DeepSeek DeepSeek V4 Flash 0423 | $0.076 | $0.153 | 1.05M |
Call it
Same OpenAI request shape. Naming the model pins it, so nothing is routed, and the answer is still checked.
python
from openai import OpenAI
client = OpenAI(base_url="https://www.llm11.com/v1", api_key="llm11_live_...")
res = client.chat.completions.create(
model="nex-agi/nex-n2.5-pro",
messages=[{"role": "user", "content": "Hello"}],
)More from Nex AGI
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Nex-N2.5-Mini | $0.025 | $0.100 | 262K |
Questions
- What is Nex-N2.5-Pro with Jev?
- Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. Nex-N2.5-Pro does the answering when Jev sends it work, or when you name it yourself. At list price Nex-N2.5-Pro falls in the llm11-fast band, but no pack routes to it because Nex AGI is not one of the labs the packs draw from. You can still pin it: pass nex-agi/nex-n2.5-pro as model and routing steps aside while verification still runs. Routing decisions are made by Jev, TypeSafe AI's System One model.
- Is Nex-N2.5-Pro a System One model?
- No. Nex-N2.5-Pro answers requests. The System One model is Jev, which decides which model answers each one, so the two do different jobs and llm11 uses both.
- How much does Nex-N2.5-Pro cost?
- $0.075 per million input tokens and $0.250 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00042, so a thousand of them is about $0.425. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the Nex-N2.5-Pro context window?
- 262,144 tokens, with up to 235,929 tokens in a single reply.
- Does Nex-N2.5-Pro support tool calling and structured output?
- The catalogue lists tool calling, structured output and reasoning controls.
- Can I use Nex-N2.5-Pro through llm11?
- Yes. Set model to nex-agi/nex-n2.5-pro on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to Nex-N2.5-Pro?
- Routing decisions are made by Jev, TypeSafe AI's System One model. At list price Nex-N2.5-Pro falls in the llm11-fast band, but no pack routes to it because Nex AGI is not one of the labs the packs draw from. You can still pin it: pass nex-agi/nex-n2.5-pro as model and routing steps aside while verification still runs.
- What is a cheaper alternative to Nex-N2.5-Pro?
- Nearest in price and below it: Qwen Qwen3.5-Flash at $0.065 in and $0.260 out, Qwen Qwen3.5-9B at $0.100 in and $0.150 out and Mistral Ministral 3 3B 2512 at $0.100 in and $0.100 out. The catalogue has no benchmark score for Nex-N2.5-Pro, so this is a price ordering. It does not claim these answer as well.