API cost decision in 10 seconds

NewGPT Luna Latest vs Nex-N2.5-Mini

Pick Nex-N2.5-Mini for lower cost; pick GPT Luna Latest only if the larger context window matters more.

Page updated: 2026-09-22T05:07:55Z Data confirmed: 2026-09-22T06:07:53Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Nex-N2.5-Mini for lower cost; pick GPT Luna Latest only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Nex-N2.5-Mini is estimated at $0.08 vs $0.8 for GPT Luna Latest, saving $0.73 (90.6% lower).

Cost-first pickNex-N2.5-Mini

Context-first pickGPT Luna Latest

Sample savings$0.7390.6%

10x traffic gap$7.25

GPT Luna Latest has more context, but Nex-N2.5-Mini saves $0.73 on the standard workload. At 10x that traffic, the same price gap is about $7.25. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Nex-N2.5-Mini stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	GPT Luna Latest	Nex-N2.5-Mini
Input-heavy / RAG	5M input + 500K output	Nex-N2.5-Mini	$1.6	$0.17
Balanced workload	1M input + 1M output	Nex-N2.5-Mini	$1.4	$0.12
Output-heavy chatbot	1M input + 5M output	Nex-N2.5-Mini	$6.2	$0.53

Cheaper input Nex-N2.5-Mini $0.2 vs $0.025 / 1M

Nex-N2.5-Mini is $0.18 cheaper per 1M input tokens (87.5% lower; 8x difference).

Cheaper output Nex-N2.5-Mini $1.2 vs $0.1 / 1M

Nex-N2.5-Mini is $1.1 cheaper per 1M output tokens (91.7% lower; 12x difference).

Larger context GPT Luna Latest 1.05M vs 262.14K

GPT Luna Latest has 787.86K more context (4.01x larger).

Sample workload Nex-N2.5-Mini $0.8 vs $0.08

Nex-N2.5-Mini is $0.73 cheaper on the standard workload (90.6% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

GPT Luna Latest Calculating… Estimated API cost

Nex-N2.5-Mini 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-N2.5-Mini has the lower input price; Nex-N2.5-Mini has the lower output price; GPT Luna Latest offers the larger context window. For the 1M input plus 500K output sample, Nex-N2.5-Mini is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.8 for GPT Luna Latest and $0.08 for Nex-N2.5-Mini.

Best Fit

Choose GPT Luna Latest when you care most about larger context window.

Choose Nex-N2.5-Mini 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-N2.5-Mini is estimated at $0.08 vs $0.8 for GPT Luna Latest, saving $0.73 (90.6% lower).
Nex-N2.5-Mini is $0.73 cheaper on the standard workload (90.6% lower).
Nex-N2.5-Mini is $0.18 cheaper per 1M input tokens (87.5% lower; 8x difference).
Nex-N2.5-Mini is $1.1 cheaper per 1M output tokens (91.7% lower; 12x difference).
GPT Luna Latest has 787.86K more context (4.01x larger).

Head-to-Head Specs

Feature	NewGPT Luna Latest (OpenAI)	Nex-N2.5-Mini (Nex AGI)
Input Price prompt tokens per 1M	$0.2	$0.025
Completion Price per 1M tokens	$1.2	$0.1
Sample Workload Cost 1M input + 500K output	$0.8	$0.08
Context Window	1.05M	262.14K
Release Date	2026-09-11	2026-09-08

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Nex-N2.5-Mini	On the standard 1M input plus 500K output workload, Nex-N2.5-Mini is estimated at $0.08 vs $0.8 for GPT Luna Latest, saving $0.73 (90.6% lower).
High-volume input processing	Nex-N2.5-Mini	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Nex-N2.5-Mini	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	GPT Luna Latest	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

gpt-oss-120b (free) can replace GPT Luna Latest when lower sample workload cost matters most: $0.
gpt-oss-20b (free) can replace GPT Luna Latest when lower sample workload cost matters most: $0.
gpt-oss-20b can replace GPT Luna Latest when lower sample workload cost matters most: $0.1.
GPT-5 Nano (batch) can replace GPT Luna Latest when lower sample workload cost matters most: $0.12.

Larger context near this budget

GLM 5.3 Flash offers 1.31M context with $0.4 sample workload cost.
DeepSeek V4 Flash 0731 offers 1.31M context with $0.36 sample workload cost.
GLM Flash Latest offers 1.31M context with $0.2 sample workload cost.
DeepSeek V4 Flash Latest offers 1.31M context with $0.43 sample workload cost.

Popular competitors

MiMo-V2.6-Pro · Xiaomi · #1
Qwen3.8 Max (0902) · Qwen · #2
DeepSeek V4.1 Flash · DeepSeek · #3
GLM 5.3 Flash · Z.ai · #4

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

OpenAI catalog

Review all tracked OpenAI models before deciding whether this matchup is the right shortlist.

Open OpenAI models

Nex AGI catalog

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

Open Nex AGI models

GPT Luna Latest

This model always redirects to the latest model in the GPT Luna family.

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...