Models / Gemma 3 27B

Gemma 3 27B

consumer
HuggingFace → Google → Find for my hardware

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coding reasoning writing
Parameters
27.2B
Context
128k
License
other
Developer
Google
Origin
🇺🇸 USA
Released
Feb 2025

Scores

Coding
68
Reasoning
71
General
72

Score per dollar

900 pts per $/M input

general_score (72) divided by cheapest input price ($0.08/M). Higher is better value. See live pricing.

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Run it locally

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

Q4_K_M
17.0GB 17.0GB min 18.0GB rec
Balanced - the usual local sweet spot
Q8_0
28.0GB 28.0GB min 32.0GB rec
Near-lossless

The reference hardware

Schematic of the NVIDIA Jetson Orin NX 16GB reference rig - 16GB unified memory, 102 GB/s aggregate bandwidth
Schematic of the Single GTX 1080 Ti (11GB) reference rig - 11GB VRAM, 484 GB/s aggregate bandwidth
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 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

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

Can you run it? - reference rigs

Rig Q4_K_M Q8_0
NVIDIA Jetson Orin NX 16GB no -> cloud no -> cloud
Single GTX 1080 Ti (11GB) offload no -> cloud
4x H100 80GB (320GB) fast 433.5t/s fast 263.2t/s
NVIDIA DGX Station 748GB fast 258.8t/s fast 157.1t/s
8x RTX 3090 rack (192GB) fast 242.3t/s fast 147.1t/s
4x RTX 5090 (128GB) fast 231.9t/s fast 140.8t/s
AMD Instinct MI300X (192GB) fast 172.2t/s fast 104.6t/s
4x RTX 4090 (96GB) fast 130.4t/s fast 79.2t/s
2x RTX 5090 (64GB) fast 115.9t/s fast 70.4t/s
2x RTX 3090 (48GB) fast 60.6t/s fast 36.8t/s
Single RTX 5090 (32GB) fast 58.0t/s fast 35.2t/s
RTX PRO 6000 Blackwell (96GB) fast 58.0t/s fast 35.2t/s
Mac Studio M4 Ultra 192GB fast 38.5t/s fast 23.4t/s
Mac Studio M4 Ultra 512GB fast 38.5t/s fast 23.4t/s
Single RTX 4090 (24GB) fast 32.6t/s offload
MacBook Pro M5 Max 128GB fast 21.7t/s ok 13.2t/s
Dual EPYC 9004 + 768GB DDR5-4800 ok 14.9t/s ok 9.1t/s
DGX Spark 128GB unified ok 8.8t/s slow 5.4t/s
Ryzen AI Max+ 395 128GB ok 8.3t/s slow 5.0t/s
Jetson AGX Orin 64GB slow 6.6t/s slow 4.0t/s
Epyc + 512GB DDR4-3200 + 2x RTX 3090 slow 6.6t/s slow 4.0t/s
Epyc + 512GB DDR4-2400 + 2x RTX 3090 slow 5.0t/s slow 3.0t/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
17.0GB dl 17.0GB min 18.0GB rec
REC RAM vs largest quant
Q8_0 official -1% vs fp16
28.0GB dl 28.0GB min 32.0GB rec
REC RAM vs largest quant

Or run it in the cloud

Live per-provider pricing, throughput and uptime - refreshed about 9 hours ago via OpenRouter. Click a column to sort.

Provider Type Input $/M Output $/M Cache $/M Tok/s Latency Uptime Value
DeepInfra
API 0.08 0.16 0.040 - - 99.72% best uptime
Novita
API 0.12 0.20 0.040 - - 99.60%
Parasail
API 0.08 0.45 0.040 - - 95.94%
Nebius avoid
API 0.10 0.30 0.040 - - 89.73%

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 Google 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.

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