API cost decision in 10 seconds

NewLing 3.0 Flash VL vs Mercury 2.5 Preview

Pick Ling 3.0 Flash VL for lower cost; pick Mercury 2.5 Preview 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 VL for lower cost; pick Mercury 2.5 Preview only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Ling 3.0 Flash VL is estimated at $0.15 vs $0.57 for Mercury 2.5 Preview, saving $0.42 (73.9% lower).

Cost-first pickLing 3.0 Flash VL
Context-first pickMercury 2.5 Preview
Sample savings$0.4273.9%
10x traffic gap$4.25

Mercury 2.5 Preview has more context, but Ling 3.0 Flash VL saves $0.42 on the standard workload. At 10x that traffic, the same price gap is about $4.25. 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 VL stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickLing 3.0 Flash VLMercury 2.5 Preview
Input-heavy / RAG5M input + 500K outputLing 3.0 Flash VL$0.39$1.38
Balanced workload1M input + 1M outputLing 3.0 Flash VL$0.24$0.95
Output-heavy chatbot1M input + 5M outputLing 3.0 Flash VL$0.96$3.95
Cheaper input Ling 3.0 Flash VL $0.06 vs $0.2 / 1M

Ling 3.0 Flash VL is $0.14 cheaper per 1M input tokens (70% lower; 3.33x difference).

Cheaper output Ling 3.0 Flash VL $0.18 vs $0.75 / 1M

Ling 3.0 Flash VL is $0.57 cheaper per 1M output tokens (76% lower; 4.17x difference).

Larger context Mercury 2.5 Preview 131.07K vs 260K

Mercury 2.5 Preview has 128.93K more context (1.98x larger).

Sample workload Ling 3.0 Flash VL $0.15 vs $0.57

Ling 3.0 Flash VL is $0.42 cheaper on the standard workload (73.9% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Ling 3.0 Flash VL Calculating… Estimated API cost
Mercury 2.5 Preview 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 VL has the lower input price; Ling 3.0 Flash VL has the lower output price; Mercury 2.5 Preview offers the larger context window. For the 1M input plus 500K output sample, Ling 3.0 Flash VL is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.15 for Ling 3.0 Flash VL and $0.57 for Mercury 2.5 Preview.

Best Fit

Choose Ling 3.0 Flash VL when you care most about lower input-token price, and lower output-token price.

Choose Mercury 2.5 Preview when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Ling 3.0 Flash VL is estimated at $0.15 vs $0.57 for Mercury 2.5 Preview, saving $0.42 (73.9% lower).
  • Ling 3.0 Flash VL is $0.42 cheaper on the standard workload (73.9% lower).
  • Ling 3.0 Flash VL is $0.14 cheaper per 1M input tokens (70% lower; 3.33x difference).
  • Ling 3.0 Flash VL is $0.57 cheaper per 1M output tokens (76% lower; 4.17x difference).
  • Mercury 2.5 Preview has 128.93K more context (1.98x larger).
Head-to-Head Specs
FeatureNewLing 3.0 Flash VL
(inclusionAI)
Mercury 2.5 Preview
(Inception)
Input Price
prompt tokens per 1M
$0.06$0.2
Completion Price
per 1M tokens
$0.18$0.75
Sample Workload Cost
1M input + 500K output
$0.15$0.57
Context Window131.07K260K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionLing 3.0 Flash VLOn the standard 1M input plus 500K output workload, Ling 3.0 Flash VL is estimated at $0.15 vs $0.57 for Mercury 2.5 Preview, saving $0.42 (73.9% lower).
High-volume input processingLing 3.0 Flash VLLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsLing 3.0 Flash VLLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workMercury 2.5 PreviewA 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 VL builds on Ling 3.0 Flash (124B total / 5.5B active MoE from InclusionAI), further strengthening its language capabilities while adding native visual perception and advanced visual...

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Mercury 2.5 is the fastest reasoning LLM, and the latest diffusion LLM (dLLM) from Inception. Instead of generating tokens sequentially, Mercury 2.5 produces and refines multiple tokens in parallel, achieving...