API cost decision in 10 seconds

Kimi K2.7 Code vs Nex-N2-Pro

Pick Nex-N2-Pro when budget is the priority.

Page updated: 2026-08-21T00:08:04Z Data confirmed: 2026-08-23T12:07:48Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Nex-N2-Pro when budget is the priority.

On the standard 1M input plus 500K output workload, Nex-N2-Pro is estimated at $0.75 vs $2.37 for Kimi K2.7 Code, saving $1.62 (68.4% lower).

Cost-first pickNex-N2-Pro

Context-first pickBoth models

Sample savings$1.6268.4%

10x traffic gap$16.2

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $16.2. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Nex-N2-Pro stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	Kimi K2.7 Code	Nex-N2-Pro
Input-heavy / RAG	5M input + 500K output	Nex-N2-Pro	$5.05	$1.75
Balanced workload	1M input + 1M output	Nex-N2-Pro	$4.07	$1.25
Output-heavy chatbot	1M input + 5M output	Nex-N2-Pro	$17.67	$5.25

Cheaper input Nex-N2-Pro $0.67 vs $0.25 / 1M

Nex-N2-Pro is $0.42 cheaper per 1M input tokens (62.7% lower; 2.68x difference).

Cheaper output Nex-N2-Pro $3.4 vs $1 / 1M

Nex-N2-Pro is $2.4 cheaper per 1M output tokens (70.6% lower; 3.4x difference).

Larger context Tie 262.14K vs 262.14K

Both models report the same context window at 262.14K tokens.

Sample workload Nex-N2-Pro $2.37 vs $0.75

Nex-N2-Pro is $1.62 cheaper on the standard workload (68.4% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Kimi K2.7 Code Calculating… Estimated API cost

Nex-N2-Pro Calculating… Estimated API cost

Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Nex-N2-Pro has the lower input price; Nex-N2-Pro has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Nex-N2-Pro is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $2.37 for Kimi K2.7 Code and $0.75 for Nex-N2-Pro.

Best Fit

Choose Kimi K2.7 Code when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose Nex-N2-Pro when you care most about lower input-token price, and lower output-token price.

Decision Notes

On the standard 1M input plus 500K output workload, Nex-N2-Pro is estimated at $0.75 vs $2.37 for Kimi K2.7 Code, saving $1.62 (68.4% lower).
Nex-N2-Pro is $1.62 cheaper on the standard workload (68.4% lower).
Nex-N2-Pro is $0.42 cheaper per 1M input tokens (62.7% lower; 2.68x difference).
Nex-N2-Pro is $2.4 cheaper per 1M output tokens (70.6% lower; 3.4x difference).
Both models report the same context window at 262.14K tokens.

Head-to-Head Specs

Feature	Kimi K2.7 Code (MoonshotAI)	Nex-N2-Pro (Nex AGI)
Input Price prompt tokens per 1M	$0.67	$0.25
Completion Price per 1M tokens	$3.4	$1
Sample Workload Cost 1M input + 500K output	$2.37	$0.75
Context Window	262.14K	262.14K
Release Date	2026-06-12	2026-06-08

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Nex-N2-Pro	On the standard 1M input plus 500K output workload, Nex-N2-Pro is estimated at $0.75 vs $2.37 for Kimi K2.7 Code, saving $1.62 (68.4% lower).
High-volume input processing	Nex-N2-Pro	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Nex-N2-Pro	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Tie	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Kimi K2.7 Code (free) can replace Kimi K2.7 Code when lower sample workload cost matters most: $0.
Kimi K2.6 (free) can replace Kimi K2.7 Code when lower sample workload cost matters most: $0.
Kimi K2.5 can replace Kimi K2.7 Code when lower sample workload cost matters most: $1.57.
Kimi K2 0711 can replace Kimi K2.7 Code when lower sample workload cost matters most: $1.72.

Larger context near this budget

Grok 4.20 Multi-Agent offers 2M context with $2.5 sample workload cost.
Grok 4.20 offers 2M context with $2.5 sample workload cost.
DeepSeek V4 Flash 0731 offers 1.31M context with $0.17 sample workload cost.
DeepSeek V4 Flash Latest offers 1.31M context with $0.11 sample workload cost.

Popular competitors

DeepSeek V4 Flash 0731 · DeepSeek · #1
MiMo-V2.5 · Xiaomi · #2
Hy3 · Tencent · #3
Ox Alpha · stealth · #4

Cheaper alternatives

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Larger context alternatives

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Provider catalogs

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MoonshotAI catalog

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Nex AGI catalog

Check other Nex AGI models with comparable pricing, context, or release timing.

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Kimi K2.7 Code

MoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts. It uses a native multimodal mixture-of-experts...

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...