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ModelCap

Head-to-head comparison

Ling 3.0 Flash vs Fara1.5 27B

Ling 3.0 Flash (InclusionAI) and Fara1.5 27B (Microsoft) 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 10 September 2026

As of 10 September 2026, Fara1.5 27B holds the stronger ModelCap Index position (#76 vs #78).

Which should you choose?

Choose Ling 3.0 Flash if…

  • you want provider choice — 2 listed API providers against 0.
  • you want the more recently listed model — Ling 3.0 Flash was listed 23 July 2026, Fara1.5 27B 17 July 2026.

Choose Fara1.5 27B if…

  • you want the stronger overall ModelCap Index position — #76 against #78 (51.2 vs 50.9 points).

Ling 3.0 Flash vs Fara1.5 27B: specs, pricing and context

Specification comparison of Ling 3.0 Flash and Fara1.5 27B
FieldLing 3.0 FlashInclusionAIFara1.5 27BMicrosoft
ModelCap Index position#78#76
Index score50.951.2
EvidenceEstimatedInherited
Input price / 1M tokens$0.021Unlisted
Output price / 1M tokens$0.063Unlisted
Context window262K tokens— tokens
Max output tokens33K
API providers listed20
Weight accessOpen weightsOpen weights
Input modalitiesTextText, Image
First listed23 July 202617 July 2026
PublisherInclusionAIMicrosoft

Evidence: 4 reported rows against measured corpus ladders (49%); publisher-corpus-prior over 185 held-out anchors (51%); shrunk 6.1 toward the measured corpus · finetune of qwen/qwen3.5-27b · finetune (100%). Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Ling 3.0 Flash vs Fara1.5 27B

Public benchmark boards where Ling 3.0 Flash or Fara1.5 27B has a published result
BoardLing 3.0 FlashFara1.5 27BLeads
AA Terminal-Bench 2.1Artificial Analysis55.4%terminal-bench:2.1:terminus-2:e2b:pass-at-1:3-repeats:source-model="Ling 3.0 Flash":reasoning=trueOnly one result
AA Humanity's Last ExamArtificial Analysis23.7%hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="Ling 3.0 Flash":reasoning=trueOnly 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 3.0 Flash vs Fara1.5 27B: common questions

Is Ling 3.0 Flash better than Fara1.5 27B?

Fara1.5 27B ranks higher on the ModelCap Index as of 10 September 2026: #76 against #78. 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. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.

Is Ling 3.0 Flash cheaper than Fara1.5 27B?

At least one of the two has no listed API price on ModelCap right now, so no price comparison is made.

Which has the bigger context window, Ling 3.0 Flash or Fara1.5 27B?

Both publish a 262K-token context window.

Which is better for coding, Ling 3.0 Flash or Fara1.5 27B?

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 Fara1.5 27B open-weight models?

Ling 3.0 Flash: Open weights. Fara1.5 27B: Open weights. 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 Fara1.5 27B?

ModelCap currently lists 2 API providers for Ling 3.0 Flash and 0 for Fara1.5 27B, 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 Fara1.5 27B comparison?

Every figure comes from the sealed ModelCap dataset published 10 September 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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