Skip to content
Models / Llama 3.2 3B Instruct

AI-generated content marks

The provider reports that this model does not add embedded watermarks or provenance metadata to generated output.

Provider transparency docs →

chat general coding
Parameters
3.2B
Context
128k
License
llama 3
Developer
Meta
Origin
🇺🇸 USA
Released
Sep 2024

Scores

Coding
35
Reasoning
38
General
50

Score per dollar

1000 pts per $/M input

general_score (50) divided by cheapest input price ($0.05/M). Higher is better value. See live pricing.

Related models

Save your hardware and every model page answers the real question: will it run on your machine, and how fast?

Join free - save your rig →

Run it locally

Per-quant memory needs and a static "can you run it?" reference - no rig entry required

Q4_K_M
2.0GB 2.0GB min 3.2GB rec
Balanced - the usual local sweet spot
Q8_0
3.5GB 3.5GB min 4.7GB rec
Near-lossless

The reference hardware

Schematic of the 4x H100 80GB (320GB) reference rig - 320GB VRAM, 13400 GB/s aggregate bandwidth
Schematic of the NVIDIA DGX Station 748GB reference rig - 748GB unified memory, 8000 GB/s aggregate bandwidth
Schematic of the 8x RTX 3090 rack (192GB) reference rig - 192GB VRAM, 7489 GB/s aggregate bandwidth
Schematic of the 4x RTX 5090 (128GB) reference rig - 128GB VRAM, 7168 GB/s aggregate bandwidth
Schematic of the AMD Instinct MI300X (192GB) reference rig - 192GB VRAM, 5324 GB/s aggregate bandwidth
Schematic of the 4x RTX 4090 (96GB) reference rig - 96GB VRAM, 4032 GB/s aggregate bandwidth
Schematic of the 2x RTX 5090 (64GB) reference rig - 64GB VRAM, 3584 GB/s aggregate bandwidth
Schematic of the 2x RTX 3090 (48GB) reference rig - 48GB VRAM, 1872 GB/s aggregate bandwidth
Schematic of the Single RTX 5090 (32GB) reference rig - 32GB VRAM, 1792 GB/s aggregate bandwidth
Schematic of the RTX PRO 6000 Blackwell (96GB) reference rig - 96GB VRAM, 1792 GB/s aggregate bandwidth
Schematic of the Mac Studio M4 Ultra 192GB reference rig - 192GB unified memory, 1092 GB/s aggregate bandwidth
Schematic of the Mac Studio M4 Ultra 512GB reference rig - 512GB unified memory, 1092 GB/s aggregate bandwidth
Schematic of the Single RTX 4090 (24GB) reference rig - 24GB VRAM, 1008 GB/s aggregate bandwidth
Schematic of the MacBook Pro M5 Max 128GB reference rig - 128GB unified memory, 614 GB/s aggregate bandwidth
Schematic of the Single GTX 1080 Ti (11GB) reference rig - 11GB VRAM, 484 GB/s aggregate bandwidth
Schematic of the Dual EPYC 9004 + 768GB DDR5-4800 reference rig - 768GB unified memory, 460 GB/s aggregate bandwidth
Schematic of the DGX Spark 128GB unified reference rig - 128GB unified memory, 273 GB/s aggregate bandwidth
Schematic of the Ryzen AI Max+ 395 128GB reference rig - 128GB unified memory, 256 GB/s aggregate bandwidth
Schematic of the Jetson AGX Orin 64GB reference rig - 64GB unified memory, 204 GB/s aggregate bandwidth
Schematic of the Epyc + 512GB DDR4-3200 + 2x RTX 3090 reference rig - 560GB unified memory, 204 GB/s aggregate bandwidth
Schematic of the Epyc + 512GB DDR4-2400 + 2x RTX 3090 reference rig - 560GB unified memory, 153 GB/s aggregate bandwidth
Schematic of the NVIDIA Jetson Orin NX 16GB reference rig - 16GB unified memory, 102 GB/s aggregate bandwidth

22 reference configs, drawn in-house. Scroll for more.

Can you run it? - reference rigs

Rig Q4_K_M Q8_0
4x H100 80GB (320GB) fast 2469.8t/s fast 1643.6t/s
NVIDIA DGX Station 748GB fast 1474.5t/s fast 981.3t/s
8x RTX 3090 rack (192GB) fast 1380.5t/s fast 918.7t/s
4x RTX 5090 (128GB) fast 1321.2t/s fast 879.2t/s
AMD Instinct MI300X (192GB) fast 981.5t/s fast 653.1t/s
4x RTX 4090 (96GB) fast 743.2t/s fast 494.6t/s
2x RTX 5090 (64GB) fast 660.6t/s fast 439.6t/s
2x RTX 3090 (48GB) fast 345.1t/s fast 229.7t/s
Single RTX 5090 (32GB) fast 330.3t/s fast 219.8t/s
RTX PRO 6000 Blackwell (96GB) fast 330.3t/s fast 219.8t/s
Mac Studio M4 Ultra 192GB fast 219.6t/s fast 146.1t/s
Mac Studio M4 Ultra 512GB fast 219.6t/s fast 146.1t/s
Single RTX 4090 (24GB) fast 185.8t/s fast 123.6t/s
MacBook Pro M5 Max 128GB fast 123.5t/s fast 82.2t/s
Single GTX 1080 Ti (11GB) fast 89.2t/s fast 59.4t/s
Dual EPYC 9004 + 768GB DDR5-4800 fast 84.9t/s fast 56.5t/s
DGX Spark 128GB unified fast 50.3t/s fast 33.5t/s
Ryzen AI Max+ 395 128GB fast 47.2t/s fast 31.4t/s
Jetson AGX Orin 64GB fast 37.8t/s fast 25.1t/s
Epyc + 512GB DDR4-3200 + 2x RTX 3090 fast 37.8t/s fast 25.1t/s
Epyc + 512GB DDR4-2400 + 2x RTX 3090 fast 28.3t/s ok 18.8t/s
NVIDIA Jetson Orin NX 16GB ok 18.9t/s ok 12.6t/s

Fit tiers use the same will-it-run logic as the rig finder. For comfortable fits, the badge reflects decode speed: fast >=20 t/s, ok 8-20 t/s, slow <8 t/s. t/s is a bandwidth estimate, not a measured benchmark.

Download options

Q4_K_M official -5% vs fp16
2.0GB dl 2.0GB min 3.2GB rec
REC RAM vs largest quant
Q8_0 official -1% vs fp16
3.5GB dl 3.5GB min 4.7GB rec
REC RAM vs largest quant

Or run it in the cloud

Live per-provider pricing, throughput and uptime - refreshed about 11 hours ago via OpenRouter. Click a column to sort.

Provider Type Input $/M Output $/M Cache $/M Tok/s Latency Uptime Value
Parasail
API 0.05 0.33 - - - 100.00% best uptime
Cloudflare
API 0.05 0.34 - - - 100.00%

Default order: throughput among 95%+ uptime providers, then latency; subscriptions last. Sort by any column. Subscription rows show $/mo in the Value column - per-token columns are "-". Affiliate links are marked sponsored / nofollow. Confirm current pricing on the provider's site before committing.

Detailed API pricing page + JSON endpoint →

See who runs Meta in production →

PRICE HISTORY

Inference cost over time

Data accumulates from the first daily sync - longer ranges populate over time. Prices come from OpenRouter snapshots, not a historical API.

Loading price history...

Tokenstead community

Need a second opinion on this model?

Ask the people running it on real hardware, then post your tok/s and fit notes so the next reader has a data point.

Something wrong or stale? Send a correction.