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Updated minutes ago
ReleasedJanuary 1, 2026source not yet verified
Alibaba

Qwen-AgentWorld-35B-A3B

Qwen · moe · 34.7B parameters · 262,144 context

Quality
50.0

Parameters

34.7B

Context Window

256K tokens

Architecture

MoE

Best GPU

B200 SXM

Intelligence Brief

Qwen-AgentWorld-35B-A3B is a 34.7B parameter Mixture-of-Experts (256 experts, 8 active) model from Qwen, featuring Grouped Query Attention (GQA) with 40 layers and 2,048 hidden dimensions. With a 262,144 token context window, it supports tools, vision. For self-hosted inference, B200 SXM delivers optimal throughput at $4261/month.

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Architecture Details

TypeMOE
Total Parameters34.7B
Active Parameters7B
Layers40
Hidden Dimension2,048
Attention Heads16
KV Heads2
Head Dimension256
Vocab Size248,320
Total Experts256
Active Experts8

Memory Requirements

BF16 Weights

69.4 GB

FP8 Weights

34.7 GB

INT4 Weights

17.4 GB

KV-Cache per Token81920 bytes
Activation Estimate0.00 GB

GPU Compatibility Matrix

Qwen-AgentWorld-35B-A3B is compatible with 57% of GPU configurations across 41 GPUs at 3 precision levels.

BF16 (Full)
FP8 (Half)
INT4 (Quarter)
Blackwell(7 GPUs)
B200 NVL (pair)360GB
B300288GB
B100 SXM192GB
GB200 NVL72 (per GPU)192GB
Hopper(7 GPUs)
H100 NVL 94GB (per GPU pair)188GB
H200 SXM141GB
H2096GB
GH20096GB
Ada Lovelace(11 GPUs)
L40S48GB
L4048GB
RTX 6000 Ada48GB
L2048GB
Ampere(16 GPUs)
A100 80GB SXM80GB
A100 80GB PCIe80GB
A1664GB
RTX A600048GB
Legend:No fitVery tightTightModerateGoodExcellent

GPU Recommendations

B200 SXMoptimal

FP8 · 1 GPU · tensorrt-llm

100/100

score

Throughput

1.1K tok/s

Latency (ITL)

1.0ms

Est. TTFT

0ms

Cost/Month

$4261

Cost/M Tokens

$1.54

Use this config →
H200 SXMoptimal

FP8 · 1 GPU · tensorrt-llm

100/100

score

Throughput

1.1K tok/s

Latency (ITL)

1.0ms

Est. TTFT

0ms

Cost/Month

$2553

Cost/M Tokens

$0.93

Use this config →
H100 SXMoptimal

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

Use this config →

Deployment Options

API

API Deployment

No API pricing available

Self-Hosted

Single GPU

B200 SXM

$4261/mo

Min VRAM: 35 GB

Scale

Multi-GPU

RTX A6000 x2

411.6 tok/s

TP· $930/mo

API Pricing Comparison

No API pricing data available for this model.

Performance Estimates

Throughput by GPU

B200 SXM
1.1K tok/s
H200 SXM
1.1K tok/s
H100 SXM
1.1K tok/s

VRAM Breakdown (B200 SXM, FP8)

Weights
Weights 34.7 GBKV-Cache 0.7 GBActivations 0.0 GBOverhead 1.7 GB

Precision Impact

bf16

69.4 GB

weights/GPU

fp8

34.7 GB

weights/GPU

~1.1K tok/s

int4

17.4 GB

weights/GPU

Capabilities

Features

Tool Use Vision Code Math Reasoning Multilingual Structured Output

Supported Frameworks

vllm

Supported Precisions

BF16 (default)FP8INT4

Where to Deploy Qwen-AgentWorld-35B-A3B

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Frequently Asked Questions

How much VRAM does Qwen-AgentWorld-35B-A3B need for inference?

Qwen-AgentWorld-35B-A3B requires approximately 69.4 GB of VRAM at BF16 precision, 34.7 GB at FP8, or 17.4 GB at INT4 quantization. Additional VRAM is needed for KV-cache (81920 bytes per token) and activations (~0.00 GB).

What is the best GPU for Qwen-AgentWorld-35B-A3B?

The top recommended GPU for Qwen-AgentWorld-35B-A3B is the B200 SXM using FP8 precision. It achieves approximately 1.1K tokens/sec at an estimated cost of $4261/month ($1.54/M tokens). Score: 100/100.

How much does Qwen-AgentWorld-35B-A3B inference cost?

Qwen-AgentWorld-35B-A3B inference costs vary by provider and GPU setup. Use our calculator for detailed cost estimates across all providers.