Claude Opus 4.5
Anthropic · moe · 400B parameters · 200,000 context
Parameters
400B
Context Window
195K tokens
Architecture
MoE
Best GPU
B200 NVL (pair)
Cheapest API
$25.00/M
Quality Score
90/100
Intelligence Brief
Claude Opus 4.5 is a 400B parameter Mixture-of-Experts (16 experts, 2 active) model from Anthropic, featuring Grouped Query Attention (GQA) with 96 layers and 12,288 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 91.5, HumanEval 75, GSM8K 97. The most cost-effective API deployment is via anthropic at $25.00/M output tokens. For self-hosted inference, B200 NVL (pair) delivers optimal throughput at $39858/month.
Provider pricing
1 provider · canonical: anthropic| Provider | Input $/M | Output $/M ▲ | Notes |
|---|---|---|---|
| anthropiccanonical | $5.00 | $25.00 | cheapest 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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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
Memory Requirements
BF16 Weights
800.0 GB
FP8 Weights
400.0 GB
INT4 Weights
200.0 GB
Fits on (single GPU) — most practical first
Fits on (multi-GPU with Tensor Parallelism)
Multi-GPU configurations use Tensor Parallelism (TP) to split model layers across GPUs. Requires NVLink or NVSwitch interconnect for optimal performance.
GPU Compatibility Matrix
Claude Opus 4.5 is compatible with 2% of GPU configurations across 41 GPUs at 3 precision levels.
GPU Recommendations
BF16 · 4 GPUs · tensorrt-llm
88/100
score
Throughput
280.0 tok/s
Latency (ITL)
3.6ms
Est. TTFT
1ms
Cost/Month
$39858
Cost/M Tokens
$54.17
BF16 · 8 GPUs · tensorrt-llm
83/100
score
Throughput
280.0 tok/s
Latency (ITL)
3.6ms
Est. TTFT
1ms
Cost/Month
$34088
Cost/M Tokens
$46.33
BF16 · 8 GPUs · tensorrt-llm
83/100
score
Throughput
280.0 tok/s
Latency (ITL)
3.6ms
Est. TTFT
1ms
Cost/Month
$34164
Cost/M Tokens
$46.43
Deployment Options
API Deployment
anthropic
$25.00/M
output tokens
Single GPU
Requires multi-GPU setup (400 GB VRAM needed)
Multi-GPU
B200 NVL (pair) x4
280.0 tok/s
TP· $39858/mo
API Pricing Comparison
| Provider | Input $/M | Output $/M | Badges |
|---|---|---|---|
| anthropic | $5.00 | $25.00 | Cheapest |
Cost Analysis
| Provider | Input $/M | Output $/M | ~Monthly Cost |
|---|---|---|---|
| anthropicBest Value | $5.00 | $25.00 | $150 |
Cost per 1,000 Requests
Short (500 tok)
$7.50
via anthropic
Medium (2K tok)
$30.00
via anthropic
Long (8K tok)
$90.00
via anthropic
Performance Estimates
Throughput by GPU
VRAM Breakdown (B200 NVL (pair), BF16)
Quality Benchmarks
Capabilities
Features
Supported Frameworks
Supported Precisions
Where to Deploy Claude Opus 4.5
Similar Models
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Claude Opus 4.7
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from $25.00/M
Claude Opus 4
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Claude Sonnet 4.6
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Frequently Asked Questions
How much VRAM does Claude Opus 4.5 need for inference?
Claude Opus 4.5 requires approximately 800.0 GB of VRAM at BF16 precision, 400.0 GB at FP8, or 200.0 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 Opus 4.5?
The top recommended GPU for Claude Opus 4.5 is the B200 NVL (pair) (x4) using BF16 precision. It achieves approximately 280.0 tokens/sec at an estimated cost of $39858/month ($54.17/M tokens). Score: 88/100.
How much does Claude Opus 4.5 inference cost?
Claude Opus 4.5 API inference starts from $5.00/M input tokens and $25.00/M output tokens. Self-hosted inference costs depend on your GPU configuration — use our ROI calculator for a detailed breakdown.