GigaChat Embeddings 9.3B
GigaChat Embeddings 9.3B is GigaChat (Sber)'s embedding model with a 4K context window. A large-scale text embedding model from the GigaChat family designed for semantic search and representation tasks.
| Specifications | |
|---|---|
gigachat-embeddings-9-3b | |
| Embedding | |
| Active | |
| GigaChat (Sber) | |
| 4K tokens | |
| Text | |
| Embedding | |
| 3B | |
| 2048 | |
Capabilities
Input1/5
Text✓
Image·
Audio·
Video·
PDF·
Output1/5
Text·
Image·
Audio·
Video·
Embedding✓
Capabilities0/13
Reasoning·
Adaptive Reasoning·
Function Calling·
Parallel Function Calling·
Structured Outputs·
Native JSON Schema·
Web Search·
URL Context·
Computer Use·
Code Execution·
File Search·
Prompt Caching·
Assistant Prefill·
Cheapest Instances to Run It
Cloud GPU instances that can host GigaChat Embeddings 9.3B, ranked by cheapest on-demand price. The model needs about 7 GB of GPU memory at FP16 precision (estimated from its parameter count), so treat the fit as guidance rather than a guarantee.
All clouds
FP16 (full precision)
US Dollar ($)
Instance | Cloud | GPU | VRAM | Price | Cheapest region | |
|---|---|---|---|---|---|---|
| Standard_NV4as_v4 |  Azure | AMD Radeon Instinct MI25 | 16 GB | $0.233/hr | ||
| g5g.xlarge |  AWS | T4g | 16 GB | $0.420/hr | ||
| Standard_NV8as_v4 | Azure | AMD Radeon Instinct MI25 | 16 GB | $0.466/hr | ||
Versions
| Version | Released | Context | Input / 1M | Output / 1M | Status |
|---|---|---|---|---|---|
| GigaChat Embeddings 9.3B | — | 4K | — | — | Current |
| Text Embedding 5 | 2K | $0.025 | — | Available | |
| Voyage 4 | 32K | $0.060 | — | Available | |
| Voyage 4 Large | 32K | $0.120 | — | Available | |
| Voyage 4 Lite | 32K | $0.020 | — | Available | |
| Embed 4 | 128K | $0.120 | $0.470 | Available | |
| Embed 4 Img | — | — | $0.470 | — | Available |
| Embed 4 Txt | — | — | $0.120 | — | Available |
| Text Embedding 4 | — | 2K | $0.100 | — | Deprecated |
| Voyage Code 4 | — | 32K | $0.120 | — | Available |
| Voyage Context 4 | — | 120K | $0.120 | — | Available |