API cost decision in 10 seconds

NewQwen3.8 2.4T A95B vs Nex-N2-Pro (free)

Pick Nex-N2-Pro (free) for lower cost; pick Qwen3.8 2.4T A95B only if the larger context window matters more.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Nex-N2-Pro (free) for lower cost; pick Qwen3.8 2.4T A95B only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Nex-N2-Pro (free) is estimated at $0 vs $5 for Qwen3.8 2.4T A95B, saving $5 (100% lower).

Cost-first pickNex-N2-Pro (free)
Context-first pickQwen3.8 2.4T A95B
Sample savings$5100%
10x traffic gap$50

Qwen3.8 2.4T A95B has more context, but Nex-N2-Pro (free) saves $5 on the standard workload. At 10x that traffic, the same price gap is about $50. 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 (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickQwen3.8 2.4T A95BNex-N2-Pro (free)
Input-heavy / RAG5M input + 500K outputNex-N2-Pro (free)$13$0
Balanced workload1M input + 1M outputNex-N2-Pro (free)$8$0
Output-heavy chatbot1M input + 5M outputNex-N2-Pro (free)$32$0
Cheaper input Nex-N2-Pro (free) $2 vs $0 / 1M

Nex-N2-Pro (free) is free for input tokens while Qwen3.8 2.4T A95B costs $2 per 1M tokens.

Cheaper output Nex-N2-Pro (free) $6 vs $0 / 1M

Nex-N2-Pro (free) is free for output tokens while Qwen3.8 2.4T A95B costs $6 per 1M tokens.

Larger context Qwen3.8 2.4T A95B 1.05M vs 262.14K

Qwen3.8 2.4T A95B has 786.43K more context (4x larger).

Sample workload Nex-N2-Pro (free) $5 vs $0

Nex-N2-Pro (free) is free for the standard workload while the other model is estimated at $5.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3.8 2.4T A95B Calculating… Estimated API cost
Nex-N2-Pro (free) 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 (free) has the lower input price; Nex-N2-Pro (free) has the lower output price; Qwen3.8 2.4T A95B offers the larger context window. For the 1M input plus 500K output sample, Nex-N2-Pro (free) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $5 for Qwen3.8 2.4T A95B and $0 for Nex-N2-Pro (free).

Best Fit

Choose Qwen3.8 2.4T A95B when you care most about larger context window.

Choose Nex-N2-Pro (free) 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 (free) is estimated at $0 vs $5 for Qwen3.8 2.4T A95B, saving $5 (100% lower).
  • Nex-N2-Pro (free) is free for the standard workload while the other model is estimated at $5.
  • Nex-N2-Pro (free) is free for input tokens while Qwen3.8 2.4T A95B costs $2 per 1M tokens.
  • Nex-N2-Pro (free) is free for output tokens while Qwen3.8 2.4T A95B costs $6 per 1M tokens.
  • Qwen3.8 2.4T A95B has 786.43K more context (4x larger).
Head-to-Head Specs
FeatureNewQwen3.8 2.4T A95B
(Qwen)
Nex-N2-Pro (free)
(Nex AGI)
Input Price
prompt tokens per 1M
$2$0
Completion Price
per 1M tokens
$6$0
Sample Workload Cost
1M input + 500K output
$5$0
Context Window1.05M262.14K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionNex-N2-Pro (free)On the standard 1M input plus 500K output workload, Nex-N2-Pro (free) is estimated at $0 vs $5 for Qwen3.8 2.4T A95B, saving $5 (100% lower).
High-volume input processingNex-N2-Pro (free)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsNex-N2-Pro (free)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3.8 2.4T A95BA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

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Provider catalogs

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Qwen catalog

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Nex AGI catalog

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Qwen3.8 2.4T A95B

Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total. It is...

Nex-N2-Pro (free)

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...