Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

Meta: Llama 3.2 1B Instruct vs Llama 4 Scout benchmark

Name: Meta: Llama 3.2 1B Instruct vs Llama 4 Scout AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Meta: Llama 3.2 1B Instruct (Meta) and Llama 4 Scout (Meta) using the latest snapshots we have as of Aug 17, 2026. Meta: Llama 3.2 1B Instruct wins on output price at $0.2/1M. Llama 4 Scout has the larger context window (1.3M tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

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Meta

Meta: Llama 3.2 1B Instruct

Auto-discovered from OpenRouter (meta-llama/llama-3.2-1b-instruct). Preview until a second source matches.

$0.201/1M out

Meta

Llama 4 Scout

Meta open-weight Llama 4 long-context sibling of Maverick. Common public API lists sit near $0.08–$0.30 / $0.30–$0.70 per 1M; we store a conservative hosted list until OpenRouter overwrites.

Elo 1,412$0.3/1M out

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Instant pairwise benchmark recalculation across 400+ LLMs

Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Meta: Llama 3.2 1B Instruct (2)vsLlama 4 Scout (8)

Meta: Llama 3.2 1B Instruct: 2W (20%)Overall: Llama 4 ScoutLlama 4 Scout: 8W (80%)

← Meta: Llama 3.2 1B InstructLlama 4 Scout →

Llama 4 Scout (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

—vs1,412

Coding Elo

—vs1,398

SWE-bench

—vs52.4%

LiveBench

—vs59.6%

GPQA Diamond

—vs71.2%

Meta: Llama 3.2 1B Instruct: 0WLlama 4 Scout: 5W

Llama 4 Scout (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs155 tok/s

Time to first token

—vs130 ms

Meta: Llama 3.2 1B Instruct: 0WLlama 4 Scout: 2W

Meta: Llama 3.2 1B Instruct (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.2/1Mvs$0.3/1M

Input price

$0.03/1Mvs$0.1/1M

Context window

60kvs1.3M

Meta: Llama 3.2 1B Instruct: 2WLlama 4 Scout: 1W

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect

Percentile 0–100

Dimensional AdvantageLlama 4 Scout 5/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

Meta: Llama 3.2 1B Instruct

$0.10/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

—

EloHigh is better

1,412

Code Elo

High is better

—

Code EloHigh is better

1,398

LiveBench

High is better

—

LiveBenchHigh is better

59.6%

SWE-bench

High is better

—

SWE-benchHigh is better

52.4%

GPQA

High is better

—

GPQAHigh is better

71.2%

TTFT

Low is better

—

TTFTLow is better

130 ms

Speed

High is better

—

SpeedHigh is better

155 tok/s

In $

Low is better

+270%$0.03/1M

In $Low is better

$0.1/1M

Out $

Low is better

+49%$0.2/1M

Out $Low is better

$0.3/1M

Context

High is better

60k

ContextHigh is better

1.3M+2085%

Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 51% with Meta: Llama 3.2 1B Instruct

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

Meta: Llama 3.2 1B Instruct$3.96 / mo

In: $0.94Out: $3.02

Llama 4 Scout$8.00 / mo

In: $3.50Out: $4.50

Estimated Cost Delta

Meta: Llama 3.2 1B Instruct is estimated to save $4.04/month ($48/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Meta: Llama 3.2 1B Instruct:Pick Meta: Llama 3.2 1B Instruct when you are optimizing output cost.
2
Llama 4 Scout:Pick Llama 4 Scout for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatMeta: Llama 3.2 1B Instruct

Lower output list price ($0.2/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGLlama 4 Scout

Larger window (1.3M).

Screenshots / visionLlama 4 Scout

Llama 4 Scout is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Meta: Llama 3.2 1B Instruct	Lower output list price ($0.2/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Llama 4 Scout	Larger window (1.3M).
Screenshots / vision	Llama 4 Scout	Llama 4 Scout is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

compareAug 16, 2026

Haiku 4.5 vs Llama 4 Scout: cheap Claude versus cheap open Llama

$1/$5 hosted Claude vs a cheap long-context open sibling. The alternative-to-Sonnet pair that is honest.

launchApr 8, 2026

Llama 4 Scout: long-context open sibling of Maverick

Huge window, cheap hosted lists. The Haiku alternative that is actually open-weight.

Community Sentiment

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LIVE

Meta

Meta: Llama 3.2 1B Instruct

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$0.2/1M

Meta

Llama 4 Scout

Elo 1,412

LiveBench59.6%

SWE-bench52.4%

Speed155 tok/s

Output cost$0.3/1M

Frequently Asked Questions

Which is better overall, Meta: Llama 3.2 1B Instruct or Llama 4 Scout?: We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, Meta: Llama 3.2 1B Instruct or Llama 4 Scout?: SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?: Meta: Llama 3.2 1B Instruct output tokens are $0.2/1M versus $0.3/1M. Input prices and retry rates still move the real bill.
Which is faster, Meta: Llama 3.2 1B Instruct or Llama 4 Scout?: We do not have TTFT for both models.
Which has the larger context window?: Llama 4 Scout accepts 1.3M tokens versus 60k.
Can I self-host either model?: Llama 4 Scout is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
Are these scores from CompareLLM’s own evals?: No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?: Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Meta: Llama 3.2 1B Instruct and Llama 4 Scout Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Meta: Llama 3.2 1B Instruct matchups →|All Llama 4 Scout matchups →

Llama 4 Scout vs Llama 4 Maverick (previous llama)Llama 3.3 70B vs Llama 4 Scout Llama 3.1 70B vs Llama 4 Scout Llama 3.1 405B vs Llama 4 Scout Claude Opus 4.5 vs Llama 4 Scout Claude Opus 4.6 vs Llama 4 Scout

Meta: Llama 3.2 1B Instruct vs Llama 4 Scout benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Meta: Llama 3.2 1B Instruct (2)vsLlama 4 Scout (8)

Meta: Llama 3.2 1B Instruct: 2W (20%)Overall: Llama 4 ScoutLlama 4 Scout: 8W (80%)

← Meta: Llama 3.2 1B InstructLlama 4 Scout →

Llama 4 Scout (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

—vs1,412

Coding Elo

—vs1,398

SWE-bench

—vs52.4%

LiveBench

—vs59.6%

GPQA Diamond

—vs71.2%

Meta: Llama 3.2 1B Instruct: 0WLlama 4 Scout: 5W

Llama 4 Scout (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs155 tok/s

Time to first token

—vs130 ms

Meta: Llama 3.2 1B Instruct: 0WLlama 4 Scout: 2W

Meta: Llama 3.2 1B Instruct (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.2/1Mvs$0.3/1M

Input price

$0.03/1Mvs$0.1/1M

Context window

60kvs1.3M

Meta: Llama 3.2 1B Instruct: 2WLlama 4 Scout: 1W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatMeta: Llama 3.2 1B Instruct

Lower output list price ($0.2/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGLlama 4 Scout

Larger window (1.3M).

Screenshots / visionLlama 4 Scout

Llama 4 Scout is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Meta: Llama 3.2 1B Instruct	Lower output list price ($0.2/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Llama 4 Scout	Larger window (1.3M).
Screenshots / vision	Llama 4 Scout	Llama 4 Scout is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Meta: Llama 3.2 1B Instruct or Llama 4 Scout?

We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.

Which is better at coding, Meta: Llama 3.2 1B Instruct or Llama 4 Scout?

SWE-bench is missing for at least one model, so we do not rank coding from a single number.

Which is cheaper to run in production?

Meta: Llama 3.2 1B Instruct output tokens are $0.2/1M versus $0.3/1M. Input prices and retry rates still move the real bill.

Which is faster, Meta: Llama 3.2 1B Instruct or Llama 4 Scout?

We do not have TTFT for both models.

Which has the larger context window?

Llama 4 Scout accepts 1.3M tokens versus 60k.

Can I self-host either model?

Llama 4 Scout is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.

Are these scores from CompareLLM’s own evals?

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

What does preference Elo mean on this page?

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Meta: Llama 3.2 1B Instruct and Llama 4 Scout Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

Meta: Llama 3.2 1B Instruct

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Haiku 4.5 vs Llama 4 Scout: cheap Claude versus cheap open Llama

Llama 4 Scout: long-context open sibling of Maverick

Cast Your Matchup Vote

Community Discussions (0)

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CompareLLM Matrix

Meta: Llama 3.2 1B Instruct

Llama 4 Scout

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

Meta: Llama 3.2 1B Instruct

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Haiku 4.5 vs Llama 4 Scout: cheap Claude versus cheap open Llama

Llama 4 Scout: long-context open sibling of Maverick

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Meta: Llama 3.2 1B Instruct

Llama 4 Scout

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons