Nex-N2-Mini
text+image->text
Nex-N2-Mini is a compact variant — chosen for high throughput and low cost rather than absolute capability. Available via nex-agi. 262,144-token context. Budget pricing.
Nex-N2-Mini is a multimodal AI model from nex-agi. It costs $0.025 per million input tokens and $0.100 per million output tokens (blended $0.048/M), with a 262,144-token context window.
INPUT
$0.025/M
per million input tokens
OUTPUT
$0.100/M
per million output tokens
CONTEXT
262,144
tokens
What it is good at
- Sub-second latency
- Affordable at scale
- Good for routing & classification
- Multimodal: handles images alongside text
Typical use cases
- Routing & classification
- Bulk summarisation
- Realtime chat UX
Benchmarks
No published benchmark scores tracked for this model yet. Frontier and reasoning models from major providers have scores; smaller models and inference-host variants typically inherit the underlying open-weights score.
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See all 1 →Frequently asked questions
How much does Nex-N2-Mini cost?
Nex-N2-Mini costs $0.025 per million input tokens and $0.100 per million output tokens, for a blended reference rate of $0.048 per million tokens.
What is Nex-N2-Mini's context window?
Nex-N2-Mini supports up to 262,144 tokens of context in a single request.
What is Nex-N2-Mini best for?
Nex-N2-Mini is well suited to Sub-second latency, Affordable at scale and Good for routing & classification.
Who makes Nex-N2-Mini?
Nex-N2-Mini is developed and served by nex-agi.