Skip to content
ModelCap

Head-to-head comparison

tiny aya global vs Llama 3.2 3B Instruct

tiny aya global (CohereLabs) and Llama 3.2 3B Instruct (Meta) 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, Llama 3.2 3B Instruct holds the stronger ModelCap Index position (#217 vs #219).

Which should you choose?

Choose tiny aya global if…

  • you want the more recently listed model — tiny aya global was listed 13 February 2026, Llama 3.2 3B Instruct 25 September 2024.

Choose Llama 3.2 3B Instruct if…

  • you want the stronger overall ModelCap Index position — #217 against #219 (0.1 vs 0.0 points).
  • you want provider choice — 2 listed API providers against 0.

tiny aya global vs Llama 3.2 3B Instruct: specs, pricing and context

Specification comparison of tiny aya global and Llama 3.2 3B Instruct
Fieldtiny aya globalCohereLabsLlama 3.2 3B InstructMeta
ModelCap Index position#219#217
Index score0.00.1
EvidenceMeasuredMeasured
Input price / 1M tokensUnlisted$0.05
Output price / 1M tokensUnlisted$0.33
Context window— tokens131K tokens
Max output tokens—131K
API providers listed02
Weight accessGated accessGated access
Input modalitiesTextText
First listed13 February 202625 September 2024
PublisherCohereLabsMeta

Evidence: 1 public benchmark observation across 1 board · 2 public benchmark observations across 2 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: tiny aya global vs Llama 3.2 3B Instruct

Public benchmark boards where tiny aya global or Llama 3.2 3B Instruct has a published result
Boardtiny aya globalLlama 3.2 3B InstructLeads
Arena codingArena (LMArena)—11761160–1193Only one result
BFCL V4UC Berkeley (Gorilla)—22.0Function callingOnly one result
Artificial Analysis Intelligence IndexArtificial Analysis1.0intelligence-index—Only 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.

tiny aya global vs Llama 3.2 3B Instruct: common questions

Is tiny aya global better than Llama 3.2 3B Instruct?

Llama 3.2 3B Instruct ranks higher on the ModelCap Index as of 17 August 2026: #217 against #219. 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 tiny aya global cheaper than Llama 3.2 3B Instruct?

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, tiny aya global or Llama 3.2 3B Instruct?

Both publish a —-token context window.

Which is better for coding, tiny aya global or Llama 3.2 3B Instruct?

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 tiny aya global and Llama 3.2 3B Instruct open-weight models?

tiny aya global: Gated access. Llama 3.2 3B Instruct: Gated access. 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 tiny aya global and Llama 3.2 3B Instruct?

ModelCap currently lists 0 API providers for tiny aya global and 2 for Llama 3.2 3B Instruct, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this tiny aya global vs Llama 3.2 3B Instruct 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.

Explore further