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ReleasedSeptember 29, 2025Verified 3d ago · docs.anthropic.com
Anthropic

Claude Sonnet 4.5

Anthropic · moe · 150B parameters · 200,000 context

Quality
86.0

Parameters

150B

Context Window

195K tokens

Architecture

MoE

Best GPU

B200 NVL (pair)

Cheapest API

$15.00/M

Quality Score

86/100

Intelligence Brief

Claude Sonnet 4.5 is a 150B parameter Mixture-of-Experts (16 experts, 2 active) model from Anthropic, featuring Grouped Query Attention (GQA) with 64 layers and 10,240 hidden dimensions. With a 200,000 token context window, it supports tools, vision, structured output, code, math, multilingual, reasoning. On standardized benchmarks, it achieves MMLU 89, HumanEval 70, GSM8K 95. The most cost-effective API deployment is via anthropic at $15.00/M output tokens. For self-hosted inference, B200 NVL (pair) delivers optimal throughput at $9965/month.

Provider pricing

1 provider · canonical: anthropic
Provider Input $/M Output $/M Notes
anthropiccanonical$3.00$15.00cheapest input · cheapest output

Prices update via the nightly pricing cron + admin approvals at /admin/ingest-queue. The leaderboard's Input/Output cells show the canonical rate above; this table shows the full spread.

Recent changes

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Related models

5 suggestions

Picks: same family first, then same vendor within ±2× params, then top tag-overlap matches. Price shown is the cheapest Output $/M across providers — the row's page shows the canonical anchor.

Architecture Details

TypeMOE
Total Parameters150B
Active Parameters60B
Layers64
Hidden Dimension10,240
Attention Heads80
KV Heads10
Head Dimension128
Vocab Size200,000
Total Experts16
Active Experts2

Memory Requirements

BF16 Weights

300.0 GB

FP8 Weights

150.0 GB

INT4 Weights

75.0 GB

KV-Cache per Token204800 bytes
Activation Estimate4.00 GB

GPU Compatibility Matrix

Claude Sonnet 4.5 is compatible with 19% of GPU configurations across 41 GPUs at 3 precision levels.

BF16 (Full)
FP8 (Half)
INT4 (Quarter)
Blackwell(7 GPUs)
B200 NVL (pair)360GB
B300288GB
B100 SXM192GB
GB200 NVL72 (per GPU)192GB
Hopper(7 GPUs)
H100 NVL 94GB (per GPU pair)188GB
H200 SXM141GB
H2096GB
GH20096GB
Ada Lovelace(11 GPUs)
L40S48GB
L4048GB
RTX 6000 Ada48GB
L2048GB
Ampere(16 GPUs)
A100 80GB SXM80GB
A100 80GB PCIe80GB
A1664GB
RTX A600048GB
Legend:No fitVery tightTightModerateGoodExcellent

GPU Recommendations

B200 NVL (pair)optimal

BF16 · 1 GPU · tensorrt-llm

88/100

score

Throughput

280.0 tok/s

Latency (ITL)

3.6ms

Est. TTFT

1ms

Cost/Month

$9965

Cost/M Tokens

$13.54

Use this config →
H200 SXMoptimal

BF16 · 4 GPUs · tensorrt-llm

85/100

score

Throughput

280.0 tok/s

Latency (ITL)

3.6ms

Est. TTFT

1ms

Cost/Month

$10211

Cost/M Tokens

$13.88

Use this config →
B200 SXMoptimal

BF16 · 2 GPUs · tensorrt-llm

83/100

score

Throughput

280.0 tok/s

Latency (ITL)

3.6ms

Est. TTFT

1ms

Cost/Month

$8522

Cost/M Tokens

$11.58

Use this config →

Deployment Options

API

API Deployment

anthropic

$15.00/M

output tokens

Self-Hosted

Single GPU

B200 NVL (pair)

$9965/mo

Min VRAM: 150 GB

Scale

Multi-GPU

H200 SXM x4

280.0 tok/s

TP· $10211/mo

API Pricing Comparison

ProviderInput $/MOutput $/MBadges
anthropic$3.00$15.00
Cheapest

Cost Analysis

ProviderInput $/MOutput $/M~Monthly Cost
anthropicBest Value$3.00$15.00$90

Cost per 1,000 Requests

Short (500 tok)

$4.50

via anthropic

Medium (2K tok)

$18.00

via anthropic

Long (8K tok)

$54.00

via anthropic

Performance Estimates

Throughput by GPU

B200 NVL (pair)
280.0 tok/s
H200 SXM
280.0 tok/s
B200 SXM
280.0 tok/s

VRAM Breakdown (B200 NVL (pair), BF16)

Weights
Weights 300.0 GBKV-Cache 5.4 GBActivations 32.0 GBOverhead 15.0 GB

Quality Benchmarks

Top 10%
93th percentile across all models
MMLU
89.0
Above Average (86th pctile)
HumanEval
70.0
Above Average (80th pctile)
GSM8K
95.0
Above Average (83th pctile)
MT-Bench
89.0
Bottom 25% (0th pctile)

Capabilities

Features

Tool Use Vision Code Math Reasoning Multilingual Structured Output

Supported Frameworks

vllm

Supported Precisions

BF16 (default)

Where to Deploy Claude Sonnet 4.5

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Frequently Asked Questions

How much VRAM does Claude Sonnet 4.5 need for inference?

Claude Sonnet 4.5 requires approximately 300.0 GB of VRAM at BF16 precision, 150.0 GB at FP8, or 75.0 GB at INT4 quantization. Additional VRAM is needed for KV-cache (204800 bytes per token) and activations (~4.00 GB).

What is the best GPU for Claude Sonnet 4.5?

The top recommended GPU for Claude Sonnet 4.5 is the B200 NVL (pair) using BF16 precision. It achieves approximately 280.0 tokens/sec at an estimated cost of $9965/month ($13.54/M tokens). Score: 88/100.

How much does Claude Sonnet 4.5 inference cost?

Claude Sonnet 4.5 API inference starts from $3.00/M input tokens and $15.00/M output tokens. Self-hosted inference costs depend on your GPU configuration — use our ROI calculator for a detailed breakdown.