API cost decision in 10 seconds

NewLing 3.0 Flash Fin (free) vs NewQwen3.8 2.4T A95B

Pick Ling 3.0 Flash Fin (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 Ling 3.0 Flash Fin (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, Ling 3.0 Flash Fin (free) is estimated at $0 vs $5 for Qwen3.8 2.4T A95B, saving $5 (100% lower).

Cost-first pickLing 3.0 Flash Fin (free)
Context-first pickQwen3.8 2.4T A95B
Sample savings$5100%
10x traffic gap$50

Qwen3.8 2.4T A95B has more context, but Ling 3.0 Flash Fin (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.

Ling 3.0 Flash Fin (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickLing 3.0 Flash Fin (free)Qwen3.8 2.4T A95B
Input-heavy / RAG5M input + 500K outputLing 3.0 Flash Fin (free)$0$13
Balanced workload1M input + 1M outputLing 3.0 Flash Fin (free)$0$8
Output-heavy chatbot1M input + 5M outputLing 3.0 Flash Fin (free)$0$32
Cheaper input Ling 3.0 Flash Fin (free) $0 vs $2 / 1M

Ling 3.0 Flash Fin (free) is free for input tokens while Qwen3.8 2.4T A95B costs $2 per 1M tokens.

Cheaper output Ling 3.0 Flash Fin (free) $0 vs $6 / 1M

Ling 3.0 Flash Fin (free) is free for output tokens while Qwen3.8 2.4T A95B costs $6 per 1M tokens.

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

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

Sample workload Ling 3.0 Flash Fin (free) $0 vs $5

Ling 3.0 Flash Fin (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.
Ling 3.0 Flash Fin (free) Calculating… Estimated API cost
Qwen3.8 2.4T A95B 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

Ling 3.0 Flash Fin (free) has the lower input price; Ling 3.0 Flash Fin (free) has the lower output price; Qwen3.8 2.4T A95B offers the larger context window. For the 1M input plus 500K output sample, Ling 3.0 Flash Fin (free) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0 for Ling 3.0 Flash Fin (free) and $5 for Qwen3.8 2.4T A95B.

Best Fit

Choose Ling 3.0 Flash Fin (free) when you care most about lower input-token price, and lower output-token price.

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

Decision Notes
  • On the standard 1M input plus 500K output workload, Ling 3.0 Flash Fin (free) is estimated at $0 vs $5 for Qwen3.8 2.4T A95B, saving $5 (100% lower).
  • Ling 3.0 Flash Fin (free) is free for the standard workload while the other model is estimated at $5.
  • Ling 3.0 Flash Fin (free) is free for input tokens while Qwen3.8 2.4T A95B costs $2 per 1M tokens.
  • Ling 3.0 Flash Fin (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
FeatureNewLing 3.0 Flash Fin (free)
(inclusionAI)
NewQwen3.8 2.4T A95B
(Qwen)
Input Price
prompt tokens per 1M
$0$2
Completion Price
per 1M tokens
$0$6
Sample Workload Cost
1M input + 500K output
$0$5
Context Window262.14K1.05M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionLing 3.0 Flash Fin (free)On the standard 1M input plus 500K output workload, Ling 3.0 Flash Fin (free) is estimated at $0 vs $5 for Qwen3.8 2.4T A95B, saving $5 (100% lower).
High-volume input processingLing 3.0 Flash Fin (free)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsLing 3.0 Flash Fin (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.

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inclusionAI catalog

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Ling 3.0 Flash Fin (free)

Ling 3.0 Flash Fin is a finance-focused mixture-of-experts model from InclusionAI, built on Ling 3.0 Flash with 5.1B active parameters out of 124B total. It is designed for real-world investment...

Qwen3.8 2.4T A95B

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