Qwen3.5-35B-A3B
Qwen · Open weights · Released Feb 25, 2026 · qwen/qwen3.5-35b-a3b
262K contextVisionToolsReasoningStructured outputPrompt cachingOpen weights
Available from 7 providersUSD / MTOK · VERIFIED 12 HOURS AGO
EST. MONTHLY COSTclick a row for detail · click headers to sort
| PROVIDER | INPUT | OUTPUT | CACHE | CONTEXT | QUANT | TTFT | TPS | SMOKE | UPTIME |
|---|---|---|---|---|---|---|---|---|---|
| $0.14 | $1.00 | $0.05 | 262K | fp8 | 0.4s | 184 tok/s | 2/5 | 99.3% | |
| $0.15 | $1.00 | $0.05 | 262K | fp8 | 0.56s | 198 tok/s | 2/5 | 100.0% | |
| $0.163 | $1.30 | — | 262K | — | 1.1s | 184 tok/s | 5/5 | 99.0% | |
| ATAtlasCloud | $0.225 | $1.80 | $0.225 | 262K | fp8 | 1.4s | 163 tok/s | 5/5 | 99.9% |
| $0.24 | $1.80 | — | 262K | fp8 | 2.3s | 59 tok/s | 2/5 | 97.2% | |
| CWCoreWeave | $0.25 | $1.25 | $0.25 | 262K | fp8 | 0.49s | 244 tok/s | 2/5 | 100.0% |
| $0.313 | $1.25 | $0.156 | 256K | — | 1.2s | 204 tok/s | — | 100.0% |
TTFT/TPS: median (P50) over trailing 72h · chat10k profile (~10K in / 200 out) · measured via OpenRouter routing · SMOKE: of 5 programmatic capability probes passed (JSON schema, instruction following, tool call, long-context, benign compliance; retry-once) · screened via OpenRouter routing · v0.1 · methodology v1.1 · measured 42 hours ago
Pricing variants · USD / MTok in / out
STANDARD
$0.14 / $1.00
per MTok in / out
CACHE READ $0.05
About
The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency. Its overall...
Specifications
Context window262,144
Max output262,144
Modalities intext, image, video
Modalities outtext
LicenseOpen weights
ReleasedFeb 25, 2026
TokenizerQwen3
WeightsHugging Face ↗
Related
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[](https://modelindex.ai/models/qwen/qwen3.5-35b-a3b)Sources
OpenRouter API12 hours ago
AGGREGATORHugging Face12 hours ago
COMMUNITYModelIndex benchmarks42 hours ago
MEASUREDVerified 12 hours ago · list prices, not negotiated rates.