GigaChat 20B
Sberbank · dense · 20B parameters · 8,192 context
Parameters
20B
Context Window
8K tokens
Architecture
Dense
Best GPU
H100 SXM
Intelligence Brief
GigaChat 20B is a 20B parameter DENSE model from Sberbank, featuring Grouped Query Attention (GQA) with 44 layers and 6,144 hidden dimensions. With a 8,192 token context window, it supports code, multilingual. For self-hosted inference, H100 SXM delivers optimal throughput at $1794/month.
Architecture Details
Memory Requirements
BF16 Weights
40.0 GB
FP8 Weights
20.0 GB
INT4 Weights
10.0 GB
GPU Compatibility Matrix
GigaChat 20B is compatible with 74% of GPU configurations across 41 GPUs at 3 precision levels.
GPU Recommendations
FP8 · 1 GPU · tensorrt-llm
100/100
score
Throughput
1.1K tok/s
Latency (ITL)
1.0ms
Est. TTFT
0ms
Cost/Month
$1794
Cost/M Tokens
$0.65
FP8 · 1 GPU · tensorrt-llm
100/100
score
Throughput
1.1K tok/s
Latency (ITL)
1.0ms
Est. TTFT
0ms
Cost/Month
$940
Cost/M Tokens
$0.34
FP8 · 1 GPU · tensorrt-llm
95/100
score
Throughput
836.6 tok/s
Latency (ITL)
1.2ms
Est. TTFT
0ms
Cost/Month
$1794
Cost/M Tokens
$0.82
Deployment Options
API Deployment
No API pricing available
Single GPU
H100 SXM
$1794/mo
Min VRAM: 20 GB
Multi-GPU
A100 40GB SXM x2
412.1 tok/s
TP· $1613/mo
API Pricing Comparison
No API pricing data available for this model.
Performance Estimates
Throughput by GPU
VRAM Breakdown (H100 SXM, FP8)
Precision Impact
bf16
40.0 GB
weights/GPU
fp8
20.0 GB
weights/GPU
~1.1K tok/s
int4
10.0 GB
weights/GPU
Capabilities
Features
Supported Frameworks
Supported Precisions
Where to Deploy GigaChat 20B
Self-Hosted Infrastructure
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Frequently Asked Questions
How much VRAM does GigaChat 20B need for inference?
GigaChat 20B requires approximately 40.0 GB of VRAM at BF16 precision, 20.0 GB at FP8, or 10.0 GB at INT4 quantization. Additional VRAM is needed for KV-cache (180224 bytes per token) and activations (~1.20 GB).
What is the best GPU for GigaChat 20B?
The top recommended GPU for GigaChat 20B is the H100 SXM using FP8 precision. It achieves approximately 1.1K tokens/sec at an estimated cost of $1794/month ($0.65/M tokens). Score: 100/100.
How much does GigaChat 20B inference cost?
GigaChat 20B inference costs vary by provider and GPU setup. Use our calculator for detailed cost estimates across all providers.