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
$0.05
cached input
$0.95
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
Verified Evaluations
Benchmarks & Frontier Comparison
How Qwen3.6 35B A3B compares against leading open-weight and proprietary frontier models across independent agentic coding and reasoning suites.
| Benchmark (Metric) | Qwen3.6 35B A3B | DeepSeek V4.1 Flash | GLM 5.3 | Kimi K3.1 Pro | Claude Opus 5.5 |
|---|---|---|---|---|---|
| Agentic & Software Engineering | |||||
| ChatOSS Agentic Coding Index (%) | — | 63.2% | 58.3% | 65% | 74.1% |
| SWE-Bench Verified (%) | — | 91.5% | 95.4% | 94.8% | 97% |
| DeepSWE v1.1 (Pass@1 %) | — | 77% | 69% | 73.5% | 74.2% |
| Vibe Code Bench v1.1 (%) | — | 87.7% | 78.1% | 88.4% | 90.3% |
| Terminal-Bench 4.0 (%) | — | 42.3% | 42% | 46.2% | 65.2% |
| Code Migration (%) | — | 45.6% | 44.2% | 52% | 66.7% |
| Intelligence & Token Economics | |||||
| Artificial Analysis Intelligence Index (0–100) | 18.2 | 39.5 | 44.8 | 55.1 | 57.6 |
| Input Price (/ 1M tokens) | $0.10 | $0.15 | $1.40 | $2.00 | $4.00 |
| Output Price (/ 1M tokens) | $0.95 | $0.60 | $4.40 | $10.00 | $20.00 |
Artificial Analysis Intelligence Index
Artificial Analysis
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) |
|---|---|---|---|---|---|---|---|
Darkbloomcache darkbloom/fp4 | $0.05 | $0.70 | $0.025 | 262K | 33K | fp4 | 100.0% |
AkashMLcache akashml/fp8 | $0.10 | $0.90 | $0.05 | 262K | 236K | fp8 | 100.0% |
DeepInfracache deepinfra/fp8 | $0.10 | $0.95 | $0.10 | 262K | 66K | fp8 | 98.1% |
CoreWeavecache coreweave/fp8 | $0.10 | $0.95 | $0.05 | 262K | 236K | fp8 | 100.0% |
Parasailcache parasail/fp8 | $0.10 | $0.95 | $0.05 | 262K | 236K | fp8 | 100.0% |
DekaLLMcache dekallm | $0.10 | $1.00 | $0.05 | 262K | 236K | — | 93.3% |
Venice venice/fp8 | $0.10 | $1.00 | — | 256K | 66K | fp8 | 97.4% |
Phalacache phala | $0.20 | $1.27 | $0.056 | 262K | 236K | — | 99.5% |
SiliconFlowcache siliconflow/fp8 | $0.24 | $1.80 | $0.15 | 262K | 236K | fp8 | 79.1% |
AtlasCloudcache atlas-cloud/fp8 | $0.25 | $1.25 | $0.25 | 262K | 66K | fp8 | 99.3% |
Supported API Parameters
Parameters accepted by this model when called through ChatOSS or OpenRouter.
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