API cost decision in 10 seconds

Ling-2.6-1T vs Mercury 2

Pick Ling-2.6-1T when budget and context both matter.

Pricing data updated: 2026-05-26T11:08:00Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Ling-2.6-1T when budget and context both matter.

On the standard 1M input plus 500K output workload, Ling-2.6-1T is estimated at $0.39 vs $0.62 for Mercury 2, saving $0.24 (38% lower).

Cost-first pickLing-2.6-1T

Context-first pickLing-2.6-1T

Sample savings$0.2438%

10x traffic gap$2.38

Ling-2.6-1T is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $2.38. 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 shape	Token mix	Better pick	Ling-2.6-1T	Mercury 2
Input-heavy / RAG	5M input + 500K output	Ling-2.6-1T	$0.69	$1.62
Balanced workload	1M input + 1M output	Ling-2.6-1T	$0.7	$1
Output-heavy chatbot	1M input + 5M output	Ling-2.6-1T	$3.2	$4

Cheaper input Ling-2.6-1T $0.075 vs $0.25 / 1M

Ling-2.6-1T is $0.17 cheaper per 1M input tokens (70% lower; 3.33x difference).

Cheaper output Ling-2.6-1T $0.625 vs $0.75 / 1M

Ling-2.6-1T is $0.12 cheaper per 1M output tokens (16.7% lower; 1.2x difference).

Larger context Ling-2.6-1T 262.14K vs 128K

Ling-2.6-1T has 134.14K more context (2.05x larger).

Sample workload Ling-2.6-1T $0.39 vs $0.62

Ling-2.6-1T is $0.24 cheaper on the standard workload (38% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Ling-2.6-1T Calculating… Estimated API cost

Mercury 2 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; Ling-2.6-1T 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 $0.39 for Ling-2.6-1T and $0.62 for Mercury 2.

Best Fit

Choose Ling-2.6-1T when you care most about lower input-token price, lower output-token price, and larger context window.

Choose Mercury 2 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes

On the standard 1M input plus 500K output workload, Ling-2.6-1T is estimated at $0.39 vs $0.62 for Mercury 2, saving $0.24 (38% lower).
Ling-2.6-1T is $0.24 cheaper on the standard workload (38% lower).
Ling-2.6-1T is $0.17 cheaper per 1M input tokens (70% lower; 3.33x difference).
Ling-2.6-1T is $0.12 cheaper per 1M output tokens (16.7% lower; 1.2x difference).
Ling-2.6-1T has 134.14K more context (2.05x larger).

Head-to-Head Specs

Feature	Ling-2.6-1T (inclusionAI)	Mercury 2 (Inception)
Input Price prompt tokens per 1M	$0.075	$0.25
Completion Price per 1M tokens	$0.625	$0.75
Sample Workload Cost 1M input + 500K output	$0.39	$0.62
Context Window	262.14K	128K
Release Date	2026-04-23	2026-03-04

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Ling-2.6-1T	On the standard 1M input plus 500K output workload, Ling-2.6-1T is estimated at $0.39 vs $0.62 for Mercury 2, saving $0.24 (38% lower).
High-volume input processing	Ling-2.6-1T	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Ling-2.6-1T	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Ling-2.6-1T	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Ling-2.6-flash can replace Ling-2.6-1T when lower sample workload cost matters most: $0.03.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 sample workload cost.
Owl Alpha offers 1.05M context with $0 sample workload cost.
DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
DeepSeek V4 Flash (free) offers 1.05M context with $0 sample workload cost.

Popular competitors

No popular competitor is currently available.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

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inclusionAI catalog

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

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Inception catalog

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

Open Inception models

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...

Mercury 2

Mercury 2 is an extremely fast reasoning LLM, and the first reasoning diffusion LLM (dLLM). Instead of generating tokens sequentially, Mercury 2 produces and refines multiple tokens in parallel, achieving...