Grok 4.3
xAI · moe · 500B parameters · 1,000,000 context
Parameters
500B
Context Window
977K tokens
Architecture
MoE
Best GPU
B200 NVL (pair)
Cheapest API
$2.50/M
Intelligence Brief
Grok 4.3 is a 500B parameter Mixture-of-Experts (16 experts, 2 active) model from xAI, featuring Grouped Query Attention (GQA) with 80 layers and 10,240 hidden dimensions. With a 1,000,000 token context window, it supports tools, vision, structured output, code, math, multilingual, reasoning. The most cost-effective API deployment is via xai at $2.50/M output tokens. For self-hosted inference, B200 NVL (pair) delivers optimal throughput at $39858/month.
Provider pricing
1 provider · canonical: xai| Provider | Input $/M | Output $/M ▲ | Notes |
|---|---|---|---|
| xaicanonical | $1.25 | $2.50 | 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
Loading…
Related models
5 suggestions
Grok 3Grok · 120B$15.00/M out
Grok-2Grok · 50B$10.00/M out
Grok-3 MiniGrok · 33B$0.500/M out
Grok-3Grok · 314B$15.00/M out
Grok 4Grok · 80B—
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
1000.0 GB
FP8 Weights
500.0 GB
INT4 Weights
250.0 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
Grok 4.3 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
140.0 tok/s
Latency (ITL)
7.1ms
Est. TTFT
1ms
Cost/Month
$39858
Cost/M Tokens
$108.33
BF16 · 8 GPUs · tensorrt-llm
83/100
score
Throughput
140.0 tok/s
Latency (ITL)
7.1ms
Est. TTFT
1ms
Cost/Month
$34088
Cost/M Tokens
$92.65
BF16 · 8 GPUs · tensorrt-llm
83/100
score
Throughput
140.0 tok/s
Latency (ITL)
7.1ms
Est. TTFT
1ms
Cost/Month
$34164
Cost/M Tokens
$92.86
Deployment Options
API Deployment
xai
$2.50/M
output tokens
Single GPU
Requires multi-GPU setup (500 GB VRAM needed)
Multi-GPU
B200 NVL (pair) x4
140.0 tok/s
TP· $39858/mo
API Pricing Comparison
| Provider | Input $/M | Output $/M | Badges |
|---|---|---|---|
| xai | $1.25 | $2.50 | Cheapest |
Cost Analysis
| Provider | Input $/M | Output $/M | ~Monthly Cost |
|---|---|---|---|
| xaiBest Value | $1.25 | $2.50 | $19 |
Cost per 1,000 Requests
Short (500 tok)
$1.13
via xai
Medium (2K tok)
$4.50
via xai
Long (8K tok)
$15.00
via xai
Performance Estimates
Throughput by GPU
VRAM Breakdown (B200 NVL (pair), BF16)
Capabilities
Features
Supported Frameworks
Supported Precisions
Where to Deploy Grok 4.3
Similar Models
Grok 3
600B params · moe
Quality: 90
from $15.00/M
Grok 4
400B params · moe
Quality: 50
Grok-2
314B params · moe
Quality: 78
from $10.00/M
Grok-3
314B params · dense
Quality: 91
from $15.00/M
Claude Opus 4.7
500B params · moe
Quality: 90
from $25.00/M
Frequently Asked Questions
How much VRAM does Grok 4.3 need for inference?
Grok 4.3 requires approximately 1000.0 GB of VRAM at BF16 precision, 500.0 GB at FP8, or 250.0 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 Grok 4.3?
The top recommended GPU for Grok 4.3 is the B200 NVL (pair) (x4) using BF16 precision. It achieves approximately 140.0 tokens/sec at an estimated cost of $39858/month ($108.33/M tokens). Score: 88/100.
How much does Grok 4.3 inference cost?
Grok 4.3 API inference starts from $1.25/M input tokens and $2.50/M output tokens. Self-hosted inference costs depend on your GPU configuration — use our ROI calculator for a detailed breakdown.