Anthropic

Claude 4.8 Opus (300B)

Advanced reasoning and coding model of the Claude 4 generation

Model Summary

Family

Claude 4.8

Version

4.8

Parameters

300B (est.)

Parameter counts for closed models are estimates; vendors rarely publish exact sizes.

VRAM Requirements by Quantization

Memory needed to serve Claude 4.8 Opus (300B) for inference, including a 20% overhead for activations and KV cache.

PrecisionVRAM neededSmallest single GPU that fits
INT4 (4-bit)167.64 GBNVIDIA B200 SXM (192 GB)
INT8 (8-bit)335.28 GBMulti-GPU required
FP16 (16-bit)670.55 GBMulti-GPU required
FP32 (32-bit)1341.10 GBMulti-GPU required

Recommended GPU Configurations

Cheapest on-demand configurations to serve Claude 4.8 Opus (300B) at 8-bit (335 GB VRAM).

2x AMD Instinct MI300X

384 GB total VRAM · CDNA 3

~$12.00/h

2x AMD Instinct MI325X

512 GB total VRAM · CDNA 3

~$16.00/h

5x NVIDIA A100 80GB

400 GB total VRAM · Ampere

~$22.50/h

Quick GPU Planning

Use the calculator pre-filled with this exact version to estimate memory, speed, and compute requirements in a few clicks.

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Frequently Asked Questions

How much VRAM do you need to run Claude 4.8 Opus (300B)?

With an estimated 300B parameters, Claude 4.8 Opus (300B) needs roughly 335 GB of VRAM in 8-bit (INT8), 168 GB in 4-bit, and 671 GB in FP16, including a 20% overhead for activations and KV cache.

Which GPUs can run Claude 4.8 Opus (300B)?

At 8-bit quantization, the most cost-effective option is 2x AMD Instinct MI300X (384 GB combined VRAM, around $12.00/hour on-demand). Higher-end cards like the NVIDIA B200 or AMD MI355X reduce the GPU count needed.

Can Claude 4.8 Opus (300B) run on a single GPU?

Only with aggressive quantization: in 4-bit, a single NVIDIA B200 SXM (192 GB) can fit it. At 8-bit or higher, you need a multi-GPU setup.

How much does it cost to serve Claude 4.8 Opus (300B) in the cloud?

Renting 2x Instinct MI300X costs on the order of $12.00/hour, i.e. about $8,760/month running 24/7. Actual prices vary by provider and commitment; spot and reserved capacity can be significantly cheaper.