API cost decision in 10 seconds

🔥Hunyuan A13B Instruct vs NewLing 3.0 Flash Fin

Pick Ling 3.0 Flash Fin when budget and context both matter.

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 when budget and context both matter.

On the standard 1M input plus 500K output workload, Ling 3.0 Flash Fin is estimated at $0.15 vs $0.42 for Hunyuan A13B Instruct, saving $0.28 (64.7% lower).

Cost-first pickLing 3.0 Flash Fin
Context-first pickLing 3.0 Flash Fin
Sample savings$0.2864.7%
10x traffic gap$2.75

Ling 3.0 Flash Fin is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $2.75. 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 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickHunyuan A13B InstructLing 3.0 Flash Fin
Input-heavy / RAG5M input + 500K outputLing 3.0 Flash Fin$0.99$0.39
Balanced workload1M input + 1M outputLing 3.0 Flash Fin$0.71$0.24
Output-heavy chatbot1M input + 5M outputLing 3.0 Flash Fin$2.99$0.96
Cheaper input Ling 3.0 Flash Fin $0.14 vs $0.06 / 1M

Ling 3.0 Flash Fin is $0.08 cheaper per 1M input tokens (57.1% lower; 2.33x difference).

Cheaper output Ling 3.0 Flash Fin $0.57 vs $0.18 / 1M

Ling 3.0 Flash Fin is $0.39 cheaper per 1M output tokens (68.4% lower; 3.17x difference).

Larger context Ling 3.0 Flash Fin 131.07K vs 262.14K

Ling 3.0 Flash Fin has 131.07K more context (2x larger).

Sample workload Ling 3.0 Flash Fin $0.42 vs $0.15

Ling 3.0 Flash Fin is $0.28 cheaper on the standard workload (64.7% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Hunyuan A13B Instruct Calculating… Estimated API cost
Ling 3.0 Flash Fin 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 has the lower input price; Ling 3.0 Flash Fin has the lower output price; Ling 3.0 Flash Fin offers the larger context window. For the 1M input plus 500K output sample, Ling 3.0 Flash Fin is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.42 for Hunyuan A13B Instruct and $0.15 for Ling 3.0 Flash Fin.

Best Fit

Choose Hunyuan A13B Instruct when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose Ling 3.0 Flash Fin when you care most about lower input-token price, lower output-token price, and larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Ling 3.0 Flash Fin is estimated at $0.15 vs $0.42 for Hunyuan A13B Instruct, saving $0.28 (64.7% lower).
  • Ling 3.0 Flash Fin is $0.28 cheaper on the standard workload (64.7% lower).
  • Ling 3.0 Flash Fin is $0.08 cheaper per 1M input tokens (57.1% lower; 2.33x difference).
  • Ling 3.0 Flash Fin is $0.39 cheaper per 1M output tokens (68.4% lower; 3.17x difference).
  • Ling 3.0 Flash Fin has 131.07K more context (2x larger).
Head-to-Head Specs
Feature🔥Hunyuan A13B Instruct
(Tencent)
NewLing 3.0 Flash Fin
(inclusionAI)
Input Price
prompt tokens per 1M
$0.14$0.06
Completion Price
per 1M tokens
$0.57$0.18
Sample Workload Cost
1M input + 500K output
$0.42$0.15
Context Window131.07K262.14K
Release Date
Popularity#18

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionLing 3.0 Flash FinOn the standard 1M input plus 500K output workload, Ling 3.0 Flash Fin is estimated at $0.15 vs $0.42 for Hunyuan A13B Instruct, saving $0.28 (64.7% lower).
High-volume input processingLing 3.0 Flash FinLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsLing 3.0 Flash FinLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workLing 3.0 Flash FinA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • Hy3 (free) can replace Hunyuan A13B Instruct when lower sample workload cost matters most: $0.
  • Hy-MT2-1.8B can replace Hunyuan A13B Instruct when lower sample workload cost matters most: $0.13.
  • Hy-MT2-30B-A3B can replace Hunyuan A13B Instruct when lower sample workload cost matters most: $0.22.
  • Hy-MT2-7B can replace Hunyuan A13B Instruct when lower sample workload cost matters most: $0.22.

Cheaper alternatives

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Larger context alternatives

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Provider catalogs

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Tencent catalog

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

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inclusionAI catalog

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

Open inclusionAI models
Hunyuan A13B Instruct

Hunyuan-A13B is a 13B active parameter Mixture-of-Experts (MoE) language model developed by Tencent, with a total parameter count of 80B and support for reasoning via Chain-of-Thought. It offers competitive benchmark...

Ling 3.0 Flash Fin

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...