API cost decision in 10 seconds

NewLing 3.0 Flash VL vs GPT-5.6 Terra

Pick Ling 3.0 Flash VL for lower cost; pick GPT-5.6 Terra 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 GPT-5.6 Terra 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 $8 for GPT-5.6 Terra, saving $7.85 (98.1% lower).

Cost-first pickLing 3.0 Flash VL
Context-first pickGPT-5.6 Terra
Sample savings$7.8598.1%
10x traffic gap$78.5

GPT-5.6 Terra has more context, but Ling 3.0 Flash VL saves $7.85 on the standard workload. At 10x that traffic, the same price gap is about $78.5. 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 Flash VL stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickLing 3.0 Flash VLGPT-5.6 Terra
Input-heavy / RAG5M input + 500K outputLing 3.0 Flash VL$0.39$16
Balanced workload1M input + 1M outputLing 3.0 Flash VL$0.24$14
Output-heavy chatbot1M input + 5M outputLing 3.0 Flash VL$0.96$62
Cheaper input Ling 3.0 Flash VL $0.06 vs $2 / 1M

Ling 3.0 Flash VL is $1.94 cheaper per 1M input tokens (97% lower; 33.3x difference).

Cheaper output Ling 3.0 Flash VL $0.18 vs $12 / 1M

Ling 3.0 Flash VL is $11.82 cheaper per 1M output tokens (98.5% lower; 66.7x difference).

Larger context GPT-5.6 Terra 131.07K vs 1.05M

GPT-5.6 Terra has 918.93K more context (8.01x larger).

Sample workload Ling 3.0 Flash VL $0.15 vs $8

Ling 3.0 Flash VL is $7.85 cheaper on the standard workload (98.1% 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
GPT-5.6 Terra 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; GPT-5.6 Terra 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 $8 for GPT-5.6 Terra.

Best Fit

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

Choose GPT-5.6 Terra 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 $8 for GPT-5.6 Terra, saving $7.85 (98.1% lower).
  • Ling 3.0 Flash VL is $7.85 cheaper on the standard workload (98.1% lower).
  • Ling 3.0 Flash VL is $1.94 cheaper per 1M input tokens (97% lower; 33.3x difference).
  • Ling 3.0 Flash VL is $11.82 cheaper per 1M output tokens (98.5% lower; 66.7x difference).
  • GPT-5.6 Terra has 918.93K more context (8.01x larger).
Head-to-Head Specs
FeatureNewLing 3.0 Flash VL
(inclusionAI)
GPT-5.6 Terra
(OpenAI)
Input Price
prompt tokens per 1M
$0.06$2
Completion Price
per 1M tokens
$0.18$12
Sample Workload Cost
1M input + 500K output
$0.15$8
Context Window131.07K1.05M
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 $8 for GPT-5.6 Terra, saving $7.85 (98.1% 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 workGPT-5.6 TerraA larger context window leaves more room for retrieved passages, conversation history, or source files.

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inclusionAI catalog

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OpenAI catalog

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