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  1. Models
  2. Text
  3. Qwen

Qwen3.6 35B A3B

Qwen3.6 35B A3B is a native vision-language MoE model with hybrid attention. Compared to Qwen3.5 35B A3B, Alibaba reports stronger agentic coding, mathematical and code reasoning, and better spatial understanding (including object localization and detection).

  • Vision
  • Video Input

Added Apr 17, 2026

Model weights

Pricing

Auto routing · per 1M tokens
Input
$0.112
Output
$0.80
Compare provider prices

Specifications

Context window
1M
Max output
65.5K
Parameters
35B / 3B
Total / active
Avg output (7d)
37 tokens
Longer than 1% of models

Benchmarks

No public benchmark scores for this model yet.

Providers

Choose or restrict providers with the API. Provider-selection prices include the selection markup. Provider selection guide · Pricing API (JSON, USD per 1K tokens)

Auto
Auto (ZDR)
$0.112$0.80N/AN/AN/A
Auto
Auto (Anonymized)
$0.112$0.80N/AN/AN/A
PrimeIntellect
PrimeIntellect
FP8
UNK
$0.0115$0.106$0.01050.7s85 tps
Creekside Compute
Creekside Compute
FP8
GLB
$0.0399$0.299$0.015N/AN/A
EngyAI
EngyAI
GLB
$0.0473$0.315$0.0158N/AN/A
Darkbloom
Darkbloom
TEE attested
FP4
GLB
$0.0525$0.735N/A1.2s71 tps
Akash
Akash
FP8
GLB
$0.105$0.945$0.05250.9s69 tps
CoreWeave
CoreWeave
FP8
US
$0.105$0.934$0.03680.4s92 tps
DeepInfra
DeepInfra
FP8
US
$0.105$0.998$0.1051.2s32 tps
DekaLLM
DekaLLM
ID
$0.105$1.05$0.05250.8s107 tps
Parasail
Parasail
FP8
US
$0.105$0.945$0.02620.5s71 tps
Venice
Venice
FP8
US
$0.105$1.05N/A1.4s27 tps
Uomi
Uomi
GLB
$0.138$1.07N/AN/AN/A
SiliconFlow
SiliconFlow
FP8
SG
$0.252$1.89$0.1570.8s37 tps
AtlasCloud
AtlasCloud
FP8
US
$0.263$1.31$0.2630.7s120 tps
Mixlayer
Mixlayer
BF16
GLB
$0.263$1.36FreeN/AN/A
NeuralWatt
NeuralWatt
US
$0.305$1.21$0.0305N/AN/A
Privacy:ZDR, prompts not retainedNo training on promptsRetention and training unclearBest latency and throughput are highlighted.
Batch API
ProviderInputOutputCached input
Auto
Autoqwen/qwen3.6-35b-a3b
$0.112/M$0.80/MN/A

Batch rows for this model use normal routing and cost the same as standard API requests. Set provider in a row to choose a provider.

Related text models

Compare Qwen3.6 35B A3B with similar models from the same provider or model family.

Qwen3.6 35B A3B Thinking

qwen/qwen3.6-35b-a3b:thinking

Qwen3.6 35B A3B is a native vision-language MoE model with hybrid attention. Compared to Qwen3.5 35B A3B, Alibaba reports stronger agentic coding, mathematical and code reasoning, and better spatial understanding (including object localization and detection).

Qwen3 Next 80B A3B (Instruct)

qwen/qwen3-next-80b-a3b-instruct

Based on the new Qwen3‑Next architecture (hybrid attention, highly sparse MoE, training‑stability optimizations, and multi‑token prediction), the Qwen3‑Next‑80B‑A3B‑Instruct model delivers extreme efficiency with only 3B active parameters per pass. It performs comparably to Qwen3‑235B‑A22B‑Instruct‑2507 and shows clear advantages on ultra‑long context tasks (up to 256K tokens).

Qwen3 30B A3B

qwen/qwen3-30b-a3b

Qwen 3 30b A3B is a 30b model with 3 billion active parameters per pass. Supports switching between thinking and non thinking: trigger thinking with /think and /no_think anywhere in a prompt or system message to toggle chain-of-thought reasoning.

Qwen3 Next 80B A3B (Thinking)

qwen/qwen3-next-80b-a3b-thinking

Qwen3 Next 80B A3B (Thinking)

Qwen 3.8 27B Antislop

qwen/qwen3.8-27b-antislop

Qwen 3.8 27B Antislop is a creative-writing finetune designed to reduce formulaic prose. Available capabilities include image understanding, tool calling, and optional reasoning, with context windows up to 262,144 tokens.

Qwen 3.8 27B DarkIdol

qwen/qwen3.8-27b-darkidol

Qwen 3.8 27B DarkIdol is a creative finetune served by Aoru in NVFP4 with a 262,144-token context window. It supports image understanding, tool calling, and optional reasoning.