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Head-to-head comparison

Ling-2.6-1T vs GPT-5.5 Pro

Ling-2.6-1T (InclusionAI) and GPT-5.5 Pro (OpenAI) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.

Snapshot as of 17 August 2026

As of 17 August 2026, Ling-2.6-1T holds the stronger ModelCap Index position (#74 vs #76); Ling-2.6-1T is 288× cheaper per output token ($0.625/1M vs $180/1M); and GPT-5.5 Pro offers the longer context window (1M vs 262K tokens).

Which should you choose?

Choose Ling-2.6-1T if…

  • you want the stronger overall ModelCap Index position — #74 against #76 (36.0 vs 35.2 points).
  • API cost matters — $0.625/1M output tokens against $180/1M, about 288× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.075/1M against $30.00/1M.

Choose GPT-5.5 Pro if…

  • you need the longer context window — 1M tokens against 262K.
  • you want the more recently listed model — GPT-5.5 Pro was listed 24 April 2026, Ling-2.6-1T 23 April 2026.

Ling-2.6-1T vs GPT-5.5 Pro: specs, pricing and context

Specification comparison of Ling-2.6-1T and GPT-5.5 Pro
FieldLing-2.6-1TInclusionAIGPT-5.5 ProOpenAI
ModelCap Index position#74#76
Index score36.035.2
EvidenceMeasuredMeasured
Input price / 1M tokens$0.075$30.00
Output price / 1M tokens$0.625$180
Context window262K tokens1M tokens
Max output tokens33K128K
API providers listed11
Weight accessAPI onlyAPI only
Input modalitiesTextFile, Image, Text
First listed23 April 202624 April 2026
PublisherInclusionAIOpenAI

Evidence: 1 public benchmark observation across 1 board · 1 public benchmark observation across 1 board. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Ling-2.6-1T vs GPT-5.5 Pro

Public benchmark boards where Ling-2.6-1T or GPT-5.5 Pro has a published result
BoardLing-2.6-1TGPT-5.5 ProLeads
ARC-AGI-2ARC Prize Foundation84.6%HighOnly one result
Artificial Analysis Intelligence IndexArtificial Analysis26.6intelligence-indexOnly one result

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

Ling-2.6-1T vs GPT-5.5 Pro: common questions

Is Ling-2.6-1T better than GPT-5.5 Pro?

Ling-2.6-1T ranks higher on the ModelCap Index as of 17 August 2026: #74 against #76. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it.

Is Ling-2.6-1T cheaper than GPT-5.5 Pro?

Ling-2.6-1T is cheaper on output tokens: $0.625/1M against $180/1M. Input tokens are $0.075/1M for Ling-2.6-1T and $30.00/1M for GPT-5.5 Pro. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens.

Which has the bigger context window, Ling-2.6-1T or GPT-5.5 Pro?

GPT-5.5 Pro has the larger context window: 1M tokens against 262K.

Which is better for coding, Ling-2.6-1T or GPT-5.5 Pro?

The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.

Are Ling-2.6-1T and GPT-5.5 Pro open-weight models?

Ling-2.6-1T: API only. GPT-5.5 Pro: API only. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.

Where can I run Ling-2.6-1T and GPT-5.5 Pro?

ModelCap currently lists 1 API provider for Ling-2.6-1T and 1 for GPT-5.5 Pro, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this Ling-2.6-1T vs GPT-5.5 Pro comparison?

Every figure comes from the sealed ModelCap dataset published 17 August 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.

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