Updated minutes ago
Gemini 2.0 Flash
Google · moe · 50B parameters · 1,048,576 context
Quality83.0
Architecture Details
TypeMOE
Total Parameters50B
Active Parameters15B
Layers48
Hidden Dimension6,144
Attention Heads48
KV Heads8
Head Dimension128
Vocab Size256,000
Total Experts8
Active Experts2
Memory Requirements
BF16 Weights
100.0 GB
FP8 Weights
50.0 GB
INT4 Weights
25.0 GB
KV-Cache per Token98304 bytes
Activation Estimate2.00 GB
Fits on (single-node)
B200 SXM BF16B100 SXM BF16GB200 NVL72 (per GPU) BF16GB300 NVL72 (per GPU) BF16H200 SXM BF16H100 SXM FP8H100 PCIe FP8H100 NVL FP8
GPU Recommendations
B200 SXMoptimal
BF16 · 1 GPU · tensorrt-llm
100/100
score
Throughput
560.0 tok/s
Cost/Month
$4261
Cost/M Tokens
$2.90
B100 SXMoptimal
BF16 · 1 GPU · tensorrt-llm
100/100
score
Throughput
560.0 tok/s
Cost/Month
$4271
Cost/M Tokens
$2.90
GB200 NVL72 (per GPU)optimal
BF16 · 1 GPU · tensorrt-llm
100/100
score
Throughput
560.0 tok/s
Cost/Month
$6169
Cost/M Tokens
$4.19
API Pricing Comparison
| Provider | Input $/M | Output $/M | Badges |
|---|---|---|---|
| $0.10 | $0.40 | Cheapest |
Quality Benchmarks
MMLU85.0
HumanEval60.0
GSM8K90.0
MT-Bench85.0
Capabilities
Features
✓ Tool Use✓ Vision✓ Code✓ Math✗ Reasoning✓ Multilingual✓ Structured Output
Supported Frameworks
Supported Precisions
BF16 (default)