Qwen
Qwen3.6 35B A3B
Qwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token. It uses a hybrid sparse mixture-of-experts architecture combining Gated...
Cost / 1M tokens
Low usage$0.10
input
$0.025
cached input
$0.90
output
Context Window
262K
Up to 236K max output
Modalities
text, image, video → text
Qwen tokenizer
Quickstart & API
qwen/qwen3.6-35b-a3bBest for & Strengths
Key Strengths
Recommended Workloads in ChatOSS
- Coding agents
- Complex reasoning & debugging
- Screenshot-to-code workflows
Active Provider Endpoints (10)
Upstream inference providers serving Qwen3.6 35B A3B, with per-provider pricing, context limits, quantization, and 24-hour uptime.
| Provider | Input / 1M | Output / 1M | Cache Read / 1M | Context | Max Output | Quantization | Uptime (24h) |
|---|---|---|---|---|---|---|---|
PrimeIntellectcache primeintellect/fp8 | $0.014 | $0.133 | $0.013 | 262K | 66K | fp8 | 100.0% |
Darkbloomcache darkbloom/fp4 | $0.05 | $0.70 | $0.025 | 262K | 66K | fp4 | 100.0% |
CoreWeavecache coreweave/fp8 | $0.10 | $0.89 | $0.035 | 262K | 236K | fp8 | 99.1% |
AkashMLcache akashml/fp8 | $0.10 | $0.90 | $0.05 | 262K | 236K | fp8 | 100.0% |
Parasailcache parasail/fp8 | $0.10 | $0.90 | $0.025 | 262K | 236K | fp8 | 100.0% |
DeepInfracache deepinfra/fp8 | $0.10 | $0.95 | $0.10 | 262K | 66K | fp8 | 99.1% |
DekaLLMcache dekallm | $0.10 | $1.00 | $0.05 | 262K | 236K | — | 84.7% |
Venice venice/fp8 | $0.10 | $1.00 | — | 256K | 66K | fp8 | 99.1% |
SiliconFlowcache siliconflow/fp8 | $0.24 | $1.80 | $0.15 | 262K | 236K | fp8 | 94.6% |
AtlasCloudcache atlas-cloud/fp8 | $0.25 | $1.25 | $0.25 | 262K | 66K | fp8 | 16.0% |
Supported API Parameters
Parameters accepted by this model when called through ChatOSS or OpenRouter.
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