API cost decision in 10 seconds

NewDeepSeek V4 Pro 0813 vs Ling-2.6-1T

Pick Ling-2.6-1T for lower cost; pick DeepSeek V4 Pro 0813 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-2.6-1T for lower cost; pick DeepSeek V4 Pro 0813 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Ling-2.6-1T is estimated at $0.39 vs $2.81 for DeepSeek V4 Pro 0813, saving $2.42 (86.2% lower).

Cost-first pickLing-2.6-1T
Context-first pickDeepSeek V4 Pro 0813
Sample savings$2.4286.2%
10x traffic gap$24.18

DeepSeek V4 Pro 0813 has more context, but Ling-2.6-1T saves $2.42 on the standard workload. At 10x that traffic, the same price gap is about $24.18. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Ling-2.6-1T stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickDeepSeek V4 Pro 0813Ling-2.6-1T
Input-heavy / RAG5M input + 500K outputLing-2.6-1T$7.29$0.69
Balanced workload1M input + 1M outputLing-2.6-1T$4.49$0.7
Output-heavy chatbot1M input + 5M outputLing-2.6-1T$17.95$3.2
Cheaper input Ling-2.6-1T $1.122 vs $0.075 / 1M

Ling-2.6-1T is $1.05 cheaper per 1M input tokens (93.3% lower; 15x difference).

Cheaper output Ling-2.6-1T $3.366 vs $0.625 / 1M

Ling-2.6-1T is $2.74 cheaper per 1M output tokens (81.4% lower; 5.39x difference).

Larger context DeepSeek V4 Pro 0813 1.05M vs 262.14K

DeepSeek V4 Pro 0813 has 786.43K more context (4x larger).

Sample workload Ling-2.6-1T $2.81 vs $0.39

Ling-2.6-1T is $2.42 cheaper on the standard workload (86.2% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
DeepSeek V4 Pro 0813 Calculating… Estimated API cost
Ling-2.6-1T 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-2.6-1T has the lower input price; Ling-2.6-1T has the lower output price; DeepSeek V4 Pro 0813 offers the larger context window. For the 1M input plus 500K output sample, Ling-2.6-1T is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $2.81 for DeepSeek V4 Pro 0813 and $0.39 for Ling-2.6-1T.

Best Fit

Choose DeepSeek V4 Pro 0813 when you care most about larger context window.

Choose Ling-2.6-1T 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-2.6-1T is estimated at $0.39 vs $2.81 for DeepSeek V4 Pro 0813, saving $2.42 (86.2% lower).
  • Ling-2.6-1T is $2.42 cheaper on the standard workload (86.2% lower).
  • Ling-2.6-1T is $1.05 cheaper per 1M input tokens (93.3% lower; 15x difference).
  • Ling-2.6-1T is $2.74 cheaper per 1M output tokens (81.4% lower; 5.39x difference).
  • DeepSeek V4 Pro 0813 has 786.43K more context (4x larger).
Head-to-Head Specs
FeatureNewDeepSeek V4 Pro 0813
(DeepSeek)
Ling-2.6-1T
(inclusionAI)
Input Price
prompt tokens per 1M
$1.122$0.075
Completion Price
per 1M tokens
$3.366$0.625
Sample Workload Cost
1M input + 500K output
$2.81$0.39
Context Window1.05M262.14K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionLing-2.6-1TOn the standard 1M input plus 500K output workload, Ling-2.6-1T is estimated at $0.39 vs $2.81 for DeepSeek V4 Pro 0813, saving $2.42 (86.2% lower).
High-volume input processingLing-2.6-1TLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsLing-2.6-1TLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workDeepSeek V4 Pro 0813A larger context window leaves more room for retrieved passages, conversation history, or source files.

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Provider catalogs

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DeepSeek catalog

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inclusionAI catalog

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DeepSeek V4 Pro 0813

DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro.

Ling-2.6-1T

Ling-2.6-1T is an instant (instruct) model from inclusionAI and the company’s trillion-parameter flagship, designed for real-world agents that require fast execution and high efficiency at scale. It uses a “fast...