Qwen · Released Apr 27, 2026

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...

ReasoningOpen weightsVision
  • Top 47%OTIS Mock AIME
  • Top 50%GPQA Diamond
Released
Apr 27 2026
Context window
262K 236K out
Input / 1M tokens
$0.10 from Free
Output / 1M tokens
$0.95 from Free

Where to run it

45 providers compared

Free to try on InferX, Hetzner, NaN — free endpoints are often limited-time and rate-limited. Included in Umans AI Coding Plan. Cheapest: engy at $0.045 / $0.30 per 1M input / output tokens — 98% less than the priciest option.

ProviderInputOutputCache readContextMax outputUptimevs. best
InferXfree · may be limited-time Free Free —262K66K— Free
Hetznerfree · may be limited-time Free Free Free262K262K— Free
NaNfree · may be limited-time Free Free —262K66K— Free
Umans AI Coding Plansubscription plan Plan Plan Plan262K262K— Plan
engy $0.045 $0.30 $0.015208K8K— Cheapest
Boundless $0.04 $0.35 $0.02262K66K— +8%
EmpirioLabs AI $0.07 $0.42 $0.035131K16K— +45%
DarkbloomFP4 $0.05 $0.70 $0.025262K33K100%24h +95%
SaladCloud AI Gateway $0.09 $0.60 —262K262K— +100%
Zenifra $0.19 $0.48 —262K66K— +141%
Cortecs $0.17 $0.56 —262K33K— +143%
AKI.IO $0.17 $0.56 —256K33K— +145%
AkashMLFP8 $0.10 $0.90 $0.05262K236K100%24h +176%
ParasailFP8 $0.10 $0.95 $0.05262K236K100%24h +187%
DeepInfraFP8 $0.10 $0.95 $0.10262K66K98.9%24h +187%
Kilo Gateway $0.10 $0.95 $0.05262K236K— +187%
VeniceFP8 $0.10 $1.00 —256K66K100%24h +199%
DekaLLM $0.10 $1.00 $0.05262K236K99.9%24h +199%
Venice AI $0.10 $1.00 —256K66K— +199%
Hugging Face $0.15 $0.95 —262K66K— +222%
Pioneer $0.14 $1.00 $0.028262K131K— +226%
Umans AI $0.15 $1.00 $0.05262K33K— +233%
Ambient $0.15 $1.00 $0.15262K262K— +233%
NEAR AI Cloud $0.17 $1.10 $0.056262K8K— +270%
Phala $0.20 $1.27 $0.056262K236K96.4%24h +330%
NanoGPTno tool calling $0.20 $1.27 $0.10262K262K— +330%
CoreWeaveFP8 · no tool calling $0.25 $1.25 $0.25262K236K100%24h +360%
AtlasCloudFP8 $0.25 $1.25 $0.25262K66K99.4%24h +360%
Neuralwatt $0.29 $1.15 $0.029131K131K— +364%
LLM Gateway $0.25 $1.49 —262K64K— +412%
Novita AI $0.25 $1.49 —262K66K— +412%
DevPass (LLM Gateway) $0.25 $1.49 —262K66K— +412%
Merge Gateway $0.25 $1.49 $0.05262K66K— +412%
OrcaRouter $0.25 $1.49 —262K66K— +412%
Opper $0.25 $1.49 —262K66K— +412%
AIHubMix $0.25 $1.52 —262K66K— +426%
evroc $0.34 $1.38 —262K66K— +455%
SiliconFlow (China) $0.27 $1.61 —262K66K— +457%
SiliconFlowFP8 · no tool calling $0.24 $1.80 $0.15262K236K96.6%24h +479%
Scaleway $0.28 $1.68 —128K16K— +480%
302.AI $0.28 $1.70 —262K66K— +484%
Thinking Machines $0.45 $1.33 $0.0966K66K— +517%
GreenPT $0.34 $2.05 —262K33K— +608%
Alibaba $0.38 $2.25 —262K66K— +676%
LLMTRno tool calling $5.00 $10.00 —16K16K— +5647%

Value

Price vs. performance

6 models score higher for the same price or lesson GPQA Diamond, e.g. GLM 5.2.
23.2%47.6%72.0%96.4% $0.001$0.01$0.10$1.00$10.00$100.00 DeepSeek V4.1 Flash 1017 (DeepSeek) — 93.2% · $0.15/1M in Gemini 4 Argon (Google) — 96.4% · $2.00/1M in Claude Haiku 5.5 (Anthropic) — 89.6% · $0.10/1M in Mistral Large 4 (Mistral) — 88.1% · $1.36/1M in GPT-6.1 Sol (OpenAI) — 95.4% · $2.00/1M in Claude Sonnet 5.5 (Anthropic) — 95.6% · $2.00/1M in GPT-6 Luna (OpenAI) — 90.5% · $0.10/1M in GPT-6 Sol (OpenAI) — 94.3% · $2.00/1M in Claude Opus 5.5 (Anthropic) — 90.6% · $4.00/1M in Grok 4.7 (xAI) — 92.7% · $2.00/1M in DeepSeek V4.1 Flash (DeepSeek) — 93.2% · $0.30/1M in GPT-6 Astra (OpenAI) — 95.8% · $10.00/1M in Gemini 3.8 Flash (Google) — 95.4% · $0.82/1M in GLM 5.3 Flash (Z.ai) — 90.1% · $0.005/1M in GLM 5.3 (Z.ai) — 90.9% · $0.079/1M in Gemini 3.7 Flash (Google) — 94.8% · $0.75/1M in DeepSeek V4 Pro 0813 (DeepSeek) — 91.7% · $0.66/1M in Grok 4.6 (xAI) — 94.0% · $2.00/1M in DeepSeek V4 Flash 0731 (DeepSeek) — 91.0% · $0.44/1M in Claude Opus 5 (Anthropic) — 93.9% · $5.00/1M in Gemini 3.6 Flash (Google) — 94.1% · $0.75/1M in Gemini 3.5 Flash Lite (Google) — 83.3% · $0.30/1M in Kimi K3 (Moonshot AI) — 93.1% · $0.24/1M in GPT-5.6 Luna (OpenAI) — 91.6% · $0.20/1M in GPT-5.6 Terra (OpenAI) — 93.3% · $2.00/1M in GPT-5.6 Sol (OpenAI) — 93.5% · $4.00/1M in Grok 4.5 (xAI) — 93.4% · $2.00/1M in Claude Sonnet 5 (Anthropic) — 90.5% · $2.00/1M in GLM 5.2 (Z.ai) — 91.9% · $0.034/1M in Kimi K2.7 Code (Moonshot AI) — 87.9% · $0.67/1M in Claude Fable 5 (Anthropic) — 85.9% · $10.00/1M in MiniMax M3 (MiniMax) — 90.9% · $0.30/1M in Claude Opus 4.8 (Anthropic) — 91.0% · $5.00/1M in Gemini 3.5 Flash (Google) — 92.8% · $1.50/1M in Gemini 3.1 Flash Lite (Google) — 81.8% · $0.25/1M in Grok 4.3 (xAI) — 88.8% · $1.25/1M in GPT-5.5 (OpenAI) — 90.7% · $5.00/1M in DeepSeek V4 Pro 0423 (DeepSeek) — 91.7% · $0.45/1M in DeepSeek V4 Flash 0423 (DeepSeek) — 91.0% · $0.091/1M in Kimi K2.6 (Moonshot AI) — 90.8% · $0.65/1M in Claude Opus 4.7 (Anthropic) — 90.1% · $5.00/1M in GLM 5.1 (Z.ai) — 89.9% · $1.40/1M in Gemma 4 26B A4B (Google) — 73.2% · $0.09/1M in Gemma 4 31B (Google) — 75.8% · $0.20/1M in GPT-5.4 Nano (OpenAI) — 78.5% · $0.20/1M in GPT-5.4 Mini (OpenAI) — 86.9% · $0.75/1M in Mistral Small 4 (Mistral) — 47.5% · $0.15/1M in GPT-5.4 Pro (OpenAI) — 94.6% · $30.00/1M in GPT-5.4 (OpenAI) — 93.3% · $2.50/1M in Gemini 3.1 Flash Lite Preview (Google) — 81.8% · $0.25/1M in Gemini 3.1 Pro Preview (Google) — 94.4% · $2.00/1M in Claude Sonnet 4.6 (Anthropic) — 87.4% · $3.00/1M in GLM 5 (Z.ai) — 87.8% · $1.00/1M in Claude Opus 4.6 (Anthropic) — 90.5% · $5.00/1M in GLM 4.7 Flash (Z.ai) — 60.5% · $0.061/1M in GLM 4.7 (Z.ai) — 83.3% · $0.54/1M in Gemini 3 Flash Preview (Google) — 89.4% · $0.50/1M in GPT-5.2 (OpenAI) — 91.4% · $1.75/1M in Ministral 3 8B 2512 (Mistral) — 27.2% · $0.15/1M in Ministral 3 3B 2512 (Mistral) — 25.3% · $0.10/1M in Mistral Large 3 2512 (Mistral) — 51.3% · $0.50/1M in Claude Opus 4.5 (Anthropic) — 86.1% · $5.00/1M in GPT-5.1 (OpenAI) — 87.6% · $1.25/1M in Claude Haiku 4.5 (Anthropic) — 71.2% · $1.00/1M in Claude Sonnet 4.5 (Anthropic) — 82.3% · $3.00/1M in GPT-5 (OpenAI) — 86.2% · $1.25/1M in GPT-5 Mini (OpenAI) — 75.0% · $0.25/1M in GPT-5 Nano (OpenAI) — 69.4% · $0.05/1M in gpt-oss-120b (OpenAI) — 75.8% · $0.15/1M in gpt-oss-20b (OpenAI) — 60.8% · $0.018/1M in Claude Opus 4.1 (Anthropic) — 77.3% · $15.00/1M in Gemini 2.5 Pro (Google) — 85.3% · $1.25/1M in Gemini 2.5 Pro Preview 06-05 (Google) — 85.3% · $1.25/1M in R1 0528 (DeepSeek) — 76.3% · $0.50/1M in o3 (OpenAI) — 81.8% · $2.00/1M in o4 Mini (OpenAI) — 79.6% · $1.10/1M in GPT-4.1 (OpenAI) — 66.9% · $2.00/1M in GPT-4.1 Mini (OpenAI) — 65.8% · $0.40/1M in GPT-4.1 Nano (OpenAI) — 48.9% · $0.10/1M in Gemma 3 4B (Google) — 23.2% · $0.04/1M in Gemma 3 12B (Google) — 39.5% · $0.05/1M in Gemma 3 27B (Google) — 47.7% · $0.08/1M in o3 Mini (OpenAI) — 77.0% · $1.10/1M in Phi 4 (Microsoft) — 56.1% · $0.07/1M in DeepSeek V3 (DeepSeek) — 71.2% · $0.26/1M in o1 (OpenAI) — 76.8% · $15.00/1M in Llama 3.3 70B Instruct (Meta) — 47.4% · $0.10/1M in GPT-4o (2024-11-20) (OpenAI) — 49.2% · $2.50/1M in Mistral Large 2407 (Mistral) — 51.3% · $2.00/1M in Llama 3.2 1B Instruct (Meta) — 23.9% · $0.027/1M in GPT-4o (2024-08-06) (OpenAI) — 49.2% · $2.50/1M in Llama 3.1 70B Instruct (Meta) — 44.2% · $0.40/1M in Llama 3.1 8B Instruct (Meta) — 27.0% · $0.05/1M in GPT-4o-mini (OpenAI) — 37.7% · $0.15/1M in GPT-4o-mini (2024-07-18) (OpenAI) — 37.7% · $0.15/1M in Gemma 2 27B (Google) — 36.5% · $0.65/1M in GPT-4o (OpenAI) — 49.2% · $2.50/1M in GPT-4o (2024-05-13) (OpenAI) — 49.2% · $5.00/1M in GPT-4 Turbo (OpenAI) — 46.6% · $10.00/1M in Mistral Large (Mistral) — 51.3% · $2.00/1M in GPT-3.5 Turbo (older v0613) (OpenAI) — 28.0% · $1.00/1M in GPT-3.5 Turbo (OpenAI) — 28.0% · $0.50/1M in GPT-4 (OpenAI) — 35.7% · $30.00/1M in Qwen3.8 Max (0902) (Qwen) — 92.7% · $2.00/1M in Qwen3.7 Flash (Qwen) — 82.3% · $0.03/1M in Qwen3.7 Plus (Qwen) — 87.9% · $0.32/1M in Qwen3.7 Max (Qwen) — 90.9% · $1.48/1M in Qwen3.5 Plus 2026-04-20 (Qwen) — 84.9% · $0.30/1M in Qwen3.6 Flash (Qwen) — 83.3% · $0.19/1M in Qwen3.6 27B (Qwen) — 85.9% · $0.25/1M in Qwen3.6 Plus (Qwen) — 88.4% · $0.33/1M in Qwen3.5-9B (Qwen) — 79.0% · $0.08/1M in Qwen3.5-35B-A3B (Qwen) — 83.5% · $0.14/1M in Qwen3.5 397B A17B (Qwen) — 86.4% · $0.50/1M in Qwen3 30B A3B Instruct 2507 (Qwen) — 55.6% · $0.09/1M in Qwen3 235B A22B Thinking 2507 (Qwen) — 80.0% · $0.45/1M in Qwen3 235B A22B Instruct 2507 (Qwen) — 70.7% · $0.09/1M in Qwen3 30B A3B (Qwen) — 61.7% · $0.12/1M in Qwen3 14B (Qwen) — 63.8% · $0.12/1M in Qwen3 32B (Qwen) — 65.7% · $0.08/1M in Qwen-Plus (Qwen) — 48.1% · $0.26/1M in Qwen3.6 35B A3B (Qwen) — 84.9% · $0.10/1M in Qwen3.6 35B A3B

Qwen3.6 35B A3B Other Qwen Other labs Value frontier · GPQA Diamond vs. input price per 1M tokens (log scale) · Drag to pan, pinch or Ctrl + scroll to zoom, double-click to zoom in.

Benchmarks

8 benchmark scores

BenchmarkScoreRankLeader
Terminal-BenchSoftware engineering · Tasks completed with the programs in a real terminal (best agent) 24.6% #34of 40 GPT-5.584.7%
SciCodeSoftware engineering · Research-coding problems from the natural sciences 36.6% #86of 102 Claude Opus 5.566.9%
WebDev ArenaDesign & visual · People vote on which model builds the better website (Elo) 1250 #84of 90 Claude Opus 5.51820
GPQA DiamondReasoning & knowledge · PhD-level biology, chemistry and physics questions 84.9% #61of 122 Gemini 4 Argon96.4%
CritPtReasoning & knowledge · Open-ended, research-level physics problems 0.3% #88of 111 GPT-5.6 Sol32.3%
LMCAReasoning & knowledge · Judge the quality of conceptual arguments like experts 29.7% #78of 123 Claude Sonnet 5.568.3%
FrontierMathMaths · Expert-written problems, undergrad to early research (tiers 1–3) 20.3% #71of 87 GPT-6.1 Sol93.7%
OTIS Mock AIMEMaths · Competition-style problems harder than MATH Level 5 86.7% #56of 120 Gemini 4 Argon100.0%

Specs

Details

Model ID
qwen/qwen3.6-35b-a3b
Developer
Qwen
Release date
Apr 27, 2026 ·
Context window
262,144 tokens
Max output
235,929 tokens
API price
$0.10 / $0.95 per 1M input / output tokens
Providers
45
Input types
text, image, video
Reasoning
Yes
Tool calling
Yes
Open weights
Yes
Free tier
No

Release date and prices from OpenRouter's catalog; providers from OpenRouter and models.dev. Buying directly from a provider can cost a little differently. Speed, latency and uptime are measured on OpenRouter only; uptime is the share of OpenRouter requests each provider served over the last day. Benchmark scores are the best result per benchmark from Epoch AI, licensed CC BY 4.0. Rank counts every model tracked here with a score.