Skip to content
ModelCap

Head-to-head comparison

Ling-3.0-flash vs GPT-5.1-Codex-Mini

Ling-3.0-flash (InclusionAI) and GPT-5.1-Codex-Mini (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 18 August 2026

As of 18 August 2026, Ling-3.0-flash holds the stronger ModelCap Index position (#41 vs #63); Ling-3.0-flash is 31.7× cheaper per output token ($0.063/1M vs $2.00/1M); GPT-5.1-Codex-Mini offers the longer context window (400K vs 262K tokens); and Ling-3.0-flash ships open weights.

Which should you choose?

Choose Ling-3.0-flash if…

  • you want the stronger overall ModelCap Index position — #41 against #63 (53.0 vs 41.5 points).
  • API cost matters — $0.063/1M output tokens against $2.00/1M, about 31.7× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.021/1M against $0.25/1M.
  • you want to self-host: Ling-3.0-flash ships open weights while GPT-5.1-Codex-Mini is api only.
  • you want provider choice — 2 listed API providers against 1.
  • Artificial Analysis Intelligence Index is your yardstick — 37.8 against 31.3.
  • you want the more recently listed model — Ling-3.0-flash was listed 23 July 2026, GPT-5.1-Codex-Mini 13 November 2025.

Choose GPT-5.1-Codex-Mini if…

  • you need the longer context window — 400K tokens against 262K.

Ling-3.0-flash vs GPT-5.1-Codex-Mini: specs, pricing and context

Specification comparison of Ling-3.0-flash and GPT-5.1-Codex-Mini
FieldLing-3.0-flashInclusionAIGPT-5.1-Codex-MiniOpenAI
ModelCap Index position#41#63
Index score53.041.5
EvidenceMeasuredMeasured
Input price / 1M tokens$0.021$0.25
Output price / 1M tokens$0.063$2.00
Context window262K tokens400K tokens
Max output tokens33K128K
API providers listed21
Weight accessOpen weightsAPI only
Input modalitiesTextImage, Text
First listed23 July 202613 November 2025
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-3.0-flash vs GPT-5.1-Codex-Mini

Public benchmark boards where Ling-3.0-flash or GPT-5.1-Codex-Mini has a published result
BoardLing-3.0-flashGPT-5.1-Codex-MiniLeads
Artificial Analysis Intelligence IndexArtificial Analysis37.8intelligence-index31.3intelligence-indexLing-3.0-flash

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-3.0-flash vs GPT-5.1-Codex-Mini: common questions

Is Ling-3.0-flash better than GPT-5.1-Codex-Mini?

Ling-3.0-flash ranks higher on the ModelCap Index as of 18 August 2026: #41 against #63. 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-3.0-flash cheaper than GPT-5.1-Codex-Mini?

Ling-3.0-flash is cheaper on output tokens: $0.063/1M against $2.00/1M. Input tokens are $0.021/1M for Ling-3.0-flash and $0.25/1M for GPT-5.1-Codex-Mini. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens.

Which has the bigger context window, Ling-3.0-flash or GPT-5.1-Codex-Mini?

GPT-5.1-Codex-Mini has the larger context window: 400K tokens against 262K.

Which is better for coding, Ling-3.0-flash or GPT-5.1-Codex-Mini?

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-3.0-flash and GPT-5.1-Codex-Mini open-weight models?

Ling-3.0-flash: Open weights. GPT-5.1-Codex-Mini: 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-3.0-flash and GPT-5.1-Codex-Mini?

ModelCap currently lists 2 API providers for Ling-3.0-flash and 1 for GPT-5.1-Codex-Mini, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this Ling-3.0-flash vs GPT-5.1-Codex-Mini comparison?

Every figure comes from the sealed ModelCap dataset published 18 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.

Explore further