API cost decision in 10 seconds

Ling-2.6-1T vs Claude Opus 4.6 (Fast)

Pick Ling-2.6-1T for lower cost; pick Claude Opus 4.6 (Fast) 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 Claude Opus 4.6 (Fast) 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 $105 for Claude Opus 4.6 (Fast), saving $104.61 (99.6% lower).

Cost-first pickLing-2.6-1T
Context-first pickClaude Opus 4.6 (Fast)
Sample savings$104.6199.6%
10x traffic gap$1046.12

Claude Opus 4.6 (Fast) has more context, but Ling-2.6-1T saves $104.61 on the standard workload. At 10x that traffic, the same price gap is about $1046.12. 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 pickLing-2.6-1TClaude Opus 4.6 (Fast)
Input-heavy / RAG5M input + 500K outputLing-2.6-1T$0.69$225
Balanced workload1M input + 1M outputLing-2.6-1T$0.7$180
Output-heavy chatbot1M input + 5M outputLing-2.6-1T$3.2$780
Cheaper input Ling-2.6-1T $0.075 vs $30 / 1M

Ling-2.6-1T is $29.93 cheaper per 1M input tokens (99.8% lower; 400x difference).

Cheaper output Ling-2.6-1T $0.625 vs $150 / 1M

Ling-2.6-1T is $149.38 cheaper per 1M output tokens (99.6% lower; 240x difference).

Larger context Claude Opus 4.6 (Fast) 262.14K vs 1M

Claude Opus 4.6 (Fast) has 737.86K more context (3.81x larger).

Sample workload Ling-2.6-1T $0.39 vs $105

Ling-2.6-1T is $104.61 cheaper on the standard workload (99.6% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Ling-2.6-1T Calculating… Estimated API cost
Claude Opus 4.6 (Fast) 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; Claude Opus 4.6 (Fast) 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 $105 for Claude Opus 4.6 (Fast).

Best Fit

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

Choose Claude Opus 4.6 (Fast) when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Ling-2.6-1T is estimated at $0.39 vs $105 for Claude Opus 4.6 (Fast), saving $104.61 (99.6% lower).
  • Ling-2.6-1T is $104.61 cheaper on the standard workload (99.6% lower).
  • Ling-2.6-1T is $29.93 cheaper per 1M input tokens (99.8% lower; 400x difference).
  • Ling-2.6-1T is $149.38 cheaper per 1M output tokens (99.6% lower; 240x difference).
  • Claude Opus 4.6 (Fast) has 737.86K more context (3.81x larger).
Head-to-Head Specs
FeatureLing-2.6-1T
(inclusionAI)
Claude Opus 4.6 (Fast)
(Anthropic)
Input Price
prompt tokens per 1M
$0.075$30
Completion Price
per 1M tokens
$0.625$150
Sample Workload Cost
1M input + 500K output
$0.39$105
Context Window262.14K1M
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 $105 for Claude Opus 4.6 (Fast), saving $104.61 (99.6% 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 workClaude Opus 4.6 (Fast)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.
  • Claude 3 Haiku can replace Claude Opus 4.6 (Fast) when lower sample workload cost matters most: $0.88.
  • Claude 3.5 Haiku can replace Claude Opus 4.6 (Fast) when lower sample workload cost matters most: $2.8.
  • Anthropic Claude Haiku Latest can replace Claude Opus 4.6 (Fast) when lower sample workload cost matters most: $3.5.
Larger context near this budget
  • Llama 4 Scout offers 10M context with $0.23 sample workload cost.
  • Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
  • Grok 4.20 offers 2M context with $2.5 sample workload cost.
  • GPT-5.5 offers 1.05M context with $20 sample workload cost.

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.

Open provider hubs

inclusionAI catalog

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

Open inclusionAI models

Anthropic catalog

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

Open Anthropic 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...

Claude Opus 4.6 (Fast)

Fast-mode variant of [Opus 4.6](/anthropic/claude-opus-4.6) - identical capabilities with higher output speed at premium 6x pricing. Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode