Updated minutes ago
Command R
Cohere · dense · 35B parameters · 131,072 context
Quality68.0
Architecture Details
TypeDENSE
Total Parameters35B
Active Parameters35B
Layers40
Hidden Dimension8,192
Attention Heads64
KV Heads8
Head Dimension128
Vocab Size256,000
Memory Requirements
BF16 Weights
70.0 GB
FP8 Weights
35.0 GB
INT4 Weights
17.5 GB
KV-Cache per Token163840 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 BF16
GPU Recommendations
H20optimal
FP8 · 1 GPU · tensorrt-llm
100/100
score
Throughput
956.1 tok/s
Cost/Month
$940
Cost/M Tokens
$0.37
B200 SXMoptimal
FP8 · 1 GPU · tensorrt-llm
98/100
score
Throughput
1.1K tok/s
Cost/Month
$4261
Cost/M Tokens
$1.54
H200 SXMoptimal
FP8 · 1 GPU · tensorrt-llm
95/100
score
Throughput
1.1K tok/s
Cost/Month
$2553
Cost/M Tokens
$0.93
API Pricing Comparison
| Provider | Input $/M | Output $/M | Badges |
|---|---|---|---|
| together | $0.50 | $0.50 | Cheapest |
| cohere | $0.50 | $1.50 |
Quality Benchmarks
MMLU73.0
HumanEval42.0
GSM8K75.0
MT-Bench78.0
Capabilities
Features
✓ Tool Use✗ Vision✓ Code✗ Math✗ Reasoning✓ Multilingual✓ Structured Output
Supported Frameworks
vllmsglangtgitensorrt-llm
Supported Precisions
BF16 (default)FP8INT4