What are Llama 3.2 3B Instruct's benchmark scores?

As of 25 Oct 2026, Llama 3.2 3B Instruct scores 35.8 ±2.4 on the BenchLeader Index, strongest in composite (36) and weakest in long context (26). That rests on 8 independent benchmark results, and every score on this page links to its publisher.

How does Llama 3.2 3B Instruct rank?

Llama 3.2 3B Instruct is #760 of 785 ranked configurations on 25 Oct 2026. 128 other configurations score within its margin, so the exact position matters less than the band. The leader is Claude Opus 5.5 (max effort) at 72.6.

How much does Llama 3.2 3B Instruct cost per 1M tokens?

As of 25 Oct 2026, Llama 3.2 3B Instruct costs $0.050 per 1M input tokens and $0.330 per 1M output tokens, $0.120 blended (three input tokens per output token). The list price last changed on 25 Oct 2026.

When was Llama 3.2 3B Instruct released?

Meta released Llama 3.2 3B Instruct on 24 Sept 2024.

Meta Open weights: meta-llama/Llama-3.2-3B-Instruct Compare with another model

Llama 3.2 3B Instruct

Llama 3.2 3B Instruct is a Meta open-weights model, released 24 Sept 2024. Its best configuration ranks #760 of 785 on the BenchLeader Index at 35.8 ±2.4, in the lower half. The ± is the point: 128 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in composite (36) and lowest in long context (26). At $0.120 per million tokens blended it is among the cheapest fifth of ranked models. Output speed of 148 tokens per second puts it in the fastest quarter, with a first token in 0.4 s. Last measured 22 Oct 2026.

Blended price: $0.120/M; $0.050 in · $0.330 out
Output speed: 148 tok/s; OpenRouter traffic, 7-day median; not yet measured by Artificial Analysis
First answer: 0.37 s
Context: 131k
Full answer: –
Cost per run: –
Released: 24 Sept 2024

How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.

Overall index36
Reasoning29
Coding27
Agents & tools35
Maths32
Instruction following31
Human preference29
Long context26
Composite36

How its index has moved

9 Sept 2026 to 21 Oct 2026

The index is recomputed from scratch every day, so a line moves when a new benchmark result lands, when a publisher revises a score, or when the models it is normalised against change. Early movement usually means the score is still settling.

Benchmark results

See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.

Reasoning

Benchmark	not stated	Source
Arena Hard Prompts	1168#330	Arena (LMArena)
GPQA Diamond (AA)not in index	25.4%#545	Artificial Analysis
Humanity's Last Exam (AA)not in index	5.3%#432	Artificial Analysis

Coding

Benchmark	not stated	Source	Trend
Arena Coding	1177#335	Arena (LMArena)

Agents & tools

Benchmark	not stated	Source
τ²-Bench Telecom (AA)not in index	21.1%#326	Artificial Analysis
BFCL Overall	21.9%#73	Berkeley Function Calling Leaderboard
BALROGnot in index	10.1%#34	BALROG

Maths

Benchmark	not stated	Source	Trend
Arena Maths	1165#311	Arena (LMArena)

Instruction following

Benchmark	not stated	Source	Trend
IFBench	26.2%#388	Artificial Analysis
Arena Instruction Followingnot in index	1146#326	Arena (LMArena)

Human preference

Benchmark	not stated	Source
Arena Text	1167#330	Arena (LMArena)
Arena Creative Writingnot in index	1144#320	Arena (LMArena)
Arena Multi-turnnot in index	1150#317	Arena (LMArena)
Arena Longer Queriesnot in index	1160#325	Arena (LMArena)

Long context

Benchmark	not stated	Source	Trend
AA-LCR	4.3%#490	Artificial Analysis

Composite

Benchmark	not stated	Source	Trend
AA Intelligence Index v4.3.2	5.7#564	Artificial Analysis

Where to run it

Every provider serving this model through OpenRouter, with throughput and first-token latency measured on live traffic over the last 30 minutes and each provider’s own price. Purple marks the best in each column.

Provider	Speed	First token	Input $/M	Output $/M	Context	Quantisation
Cloudflare	176 tok/s	0.18 s	$0.051	$0.335	80k	–
Parasail	140 tok/s	0.42 s	$0.050	$0.330	131k	bf16

Price history

The price above, per 1M tokens, every day it changed.

input outputnow $0.050 in · $0.330 out

What a task costs

Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache. Reasoning tokens are not modelled.

Workload	Tokens in / out	Cost	With caching	Time
Chat reply	400 / 300	$0.0001	–	2.4 s
Summarize a 30-page report	12,000 / 600	$0.0008	–	4.4 s
Code edit	6,000 / 1,500	$0.0008	–	10.5 s
Agentic coding session	60,000 / 4,000	$0.0043	–	27.4 s
Structured extraction	2,000 / 200	$0.0002	–	1.7 s

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Questions people ask

What are Llama 3.2 3B Instruct's benchmark scores?: As of 25 Oct 2026, Llama 3.2 3B Instruct scores 35.8 ±2.4 on the BenchLeader Index, strongest in composite (36) and weakest in long context (26). That rests on 8 independent benchmark results, and every score on this page links to its publisher.
How does Llama 3.2 3B Instruct rank?: Llama 3.2 3B Instruct is #760 of 785 ranked configurations on 25 Oct 2026. 128 other configurations score within its margin, so the exact position matters less than the band. The leader is Claude Opus 5.5 (max effort) at 72.6.
How much does Llama 3.2 3B Instruct cost per 1M tokens?: As of 25 Oct 2026, Llama 3.2 3B Instruct costs $0.050 per 1M input tokens and $0.330 per 1M output tokens, $0.120 blended (three input tokens per output token). The list price last changed on 25 Oct 2026.
When was Llama 3.2 3B Instruct released?: Meta released Llama 3.2 3B Instruct on 24 Sept 2024.

Data as of 25 Oct 2026. Compare with another model.

Cite as: BenchLeader, “Llama 3.2 3B Instruct: benchmarks, pricing, speed and rank”, data as of 25 Oct 2026, https://www.benchleader.com/models/llama-3-2-3b.