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Head-to-head comparison

Llama 3.2 1B Instruct vs Llama 4 Maverick

Llama 3.2 1B Instruct (Meta) and Llama 4 Maverick (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 7 November 2026

As of 7 November 2026, Llama 4 Maverick holds the stronger ModelCap Index position (#223 vs #348); Llama 3.2 1B Instruct is 5× cheaper per output token ($0.201/1M vs $1.00/1M); and Llama 4 Maverick offers the longer context window (524K vs 60K tokens).

Which should you choose?

Choose Llama 3.2 1B Instruct if…

  • API cost matters — $0.201/1M output tokens against $1.00/1M, about 5× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.027/1M against $0.35/1M.

Choose Llama 4 Maverick if…

  • you want the stronger overall ModelCap Index position — #223 against #348 (32.9 vs 4.6 points).
  • you need the longer context window — 524K tokens against 60K.
  • you want provider choice — 3 listed API providers against 1.
  • Arena text is your yardstick — 1327 against 1111.
  • Arena coding is your yardstick — 1372 against 1149.
  • you want the more recently listed model — Llama 4 Maverick was listed 5 April 2025, Llama 3.2 1B Instruct 25 September 2024.

Llama 3.2 1B Instruct vs Llama 4 Maverick: specs, pricing and context

Specification comparison of Llama 3.2 1B Instruct and Llama 4 Maverick
FieldLlama 3.2 1B InstructMetaLlama 4 MaverickMeta
ModelCap Index position#348#223
Index score4.632.9
EvidenceMeasuredMeasured
Input price / 1M tokens$0.027$0.35
Output price / 1M tokens$0.201$1.00
Context window60K tokens524K tokens
Declared route output cap54K33K
API providers listed13
Weight accessGated accessGated access
Input modalitiesTextText, Image
First listed25 September 20245 April 2025
PublisherMetaMeta

Evidence: 2 public benchmark observations across 2 boards · 3 public benchmark observations across 3 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Llama 3.2 1B Instruct vs Llama 4 Maverick

Public benchmark boards where Llama 3.2 1B Instruct or Llama 4 Maverick has a published result
BoardLlama 3.2 1B InstructLlama 4 MaverickLeads
Arena textArena (LMArena)11111103–1119Not reported13271323–1331Not reportedLlama 4 Maverick
Arena codingArena (LMArena)11491133–116613721365–1380Llama 4 Maverick
ARC-AGI-2ARC Prize Foundation—0.0%Only one result
BFCL V4UC Berkeley (Gorilla)10.8Function calling—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.

Llama 3.2 1B Instruct vs Llama 4 Maverick: common questions

Is Llama 3.2 1B Instruct better than Llama 4 Maverick?

Llama 4 Maverick ranks higher on the ModelCap Index as of 7 November 2026: #223 against #348. 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 do not overlap, but the aggregate Index does not predict performance on every task; compare the relevant benchmark configurations before choosing.

Is Llama 3.2 1B Instruct cheaper than Llama 4 Maverick?

Llama 3.2 1B Instruct is cheaper on output tokens: $0.201/1M against $1.00/1M. Input tokens are $0.027/1M for Llama 3.2 1B Instruct and $0.35/1M for Llama 4 Maverick. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.15 for Llama 3.2 1B Instruct versus $1.20 for Llama 4 Maverick. Llama 3.2 1B Instruct costs 87.1% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.

Which has the bigger context window, Llama 3.2 1B Instruct or Llama 4 Maverick?

Llama 4 Maverick has the larger context window: 524K tokens against 60K. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified.

Which is better for coding, Llama 3.2 1B Instruct or Llama 4 Maverick?

Arena coding: Llama 3.2 1B Instruct 1149, Llama 4 Maverick 1372 — Llama 4 Maverick leads.

Are Llama 3.2 1B Instruct and Llama 4 Maverick open-weight models?

Llama 3.2 1B Instruct: Gated access. Llama 4 Maverick: Gated access. Open weights mean the checkpoint can be downloaded and self-hosted under its licence. A missing weight link does not identify every API or chat product that offers a model.

Where can I run Llama 3.2 1B Instruct and Llama 4 Maverick?

ModelCap currently lists 1 API provider for Llama 3.2 1B Instruct and 3 for Llama 4 Maverick, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this Llama 3.2 1B Instruct vs Llama 4 Maverick comparison?

Every figure and ModelCap Index position comes from the same published snapshot dated 7 November 2026. Publication and page updates happen separately; use the snapshot date shown on the page.

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