API cost decision in 10 seconds

NewDeepSeek V4.1 Flash vs Ling 3.0 Tiny (free)

Pick Ling 3.0 Tiny (free) for lower cost; pick DeepSeek V4.1 Flash 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 Tiny (free) for lower cost; pick DeepSeek V4.1 Flash only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Ling 3.0 Tiny (free) is estimated at $0 vs $0.45 for DeepSeek V4.1 Flash, saving $0.45 (100% lower).

Cost-first pickLing 3.0 Tiny (free)
Context-first pickDeepSeek V4.1 Flash
Sample savings$0.45100%
10x traffic gap$4.5

DeepSeek V4.1 Flash has more context, but Ling 3.0 Tiny (free) saves $0.45 on the standard workload. At 10x that traffic, the same price gap is about $4.5. 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 Tiny (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickDeepSeek V4.1 FlashLing 3.0 Tiny (free)
Input-heavy / RAG5M input + 500K outputLing 3.0 Tiny (free)$1.05$0
Balanced workload1M input + 1M outputLing 3.0 Tiny (free)$0.75$0
Output-heavy chatbot1M input + 5M outputLing 3.0 Tiny (free)$3.15$0
Cheaper input Ling 3.0 Tiny (free) $0.15 vs $0 / 1M

Ling 3.0 Tiny (free) is free for input tokens while DeepSeek V4.1 Flash costs $0.15 per 1M tokens.

Cheaper output Ling 3.0 Tiny (free) $0.6 vs $0 / 1M

Ling 3.0 Tiny (free) is free for output tokens while DeepSeek V4.1 Flash costs $0.6 per 1M tokens.

Larger context DeepSeek V4.1 Flash 1.05M vs 262.14K

DeepSeek V4.1 Flash has 786.43K more context (4x larger).

Sample workload Ling 3.0 Tiny (free) $0.45 vs $0

Ling 3.0 Tiny (free) is free for the standard workload while the other model is estimated at $0.45.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
DeepSeek V4.1 Flash Calculating… Estimated API cost
Ling 3.0 Tiny (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

Ling 3.0 Tiny (free) has the lower input price; Ling 3.0 Tiny (free) has the lower output price; DeepSeek V4.1 Flash offers the larger context window. For the 1M input plus 500K output sample, Ling 3.0 Tiny (free) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.45 for DeepSeek V4.1 Flash and $0 for Ling 3.0 Tiny (free).

Best Fit

Choose DeepSeek V4.1 Flash when you care most about larger context window.

Choose Ling 3.0 Tiny (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, Ling 3.0 Tiny (free) is estimated at $0 vs $0.45 for DeepSeek V4.1 Flash, saving $0.45 (100% lower).
  • Ling 3.0 Tiny (free) is free for the standard workload while the other model is estimated at $0.45.
  • Ling 3.0 Tiny (free) is free for input tokens while DeepSeek V4.1 Flash costs $0.15 per 1M tokens.
  • Ling 3.0 Tiny (free) is free for output tokens while DeepSeek V4.1 Flash costs $0.6 per 1M tokens.
  • DeepSeek V4.1 Flash has 786.43K more context (4x larger).
Head-to-Head Specs
FeatureNewDeepSeek V4.1 Flash
(DeepSeek)
Ling 3.0 Tiny (free)
(inclusionAI)
Input Price
prompt tokens per 1M
$0.15$0
Completion Price
per 1M tokens
$0.6$0
Sample Workload Cost
1M input + 500K output
$0.45$0
Context Window1.05M262.14K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionLing 3.0 Tiny (free)On the standard 1M input plus 500K output workload, Ling 3.0 Tiny (free) is estimated at $0 vs $0.45 for DeepSeek V4.1 Flash, saving $0.45 (100% lower).
High-volume input processingLing 3.0 Tiny (free)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsLing 3.0 Tiny (free)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workDeepSeek V4.1 FlashA 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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DeepSeek catalog

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inclusionAI catalog

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

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DeepSeek V4.1 Flash

DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...

Ling 3.0 Tiny (free)

Ling 3.0 Tiny is a mixture-of-experts model from InclusionAI, with 1.3B active parameters out of 7.9B total. It is designed for responsive agents, instruction following, and multi-turn conversations, with switchable...