upcube
Alibaba•Open weights•February 24, 2026

Qwen3.5 35B A3B

Intelligence, Performance & Price Analysis

Source:Artificial Analysis scrapeType:Open weights
Intelligence
29

score

Qwen3.5 35B A3B (Reasoning) scores 29 (estimated) on the Artificial Analysis Intelligence Index, …

vs class avg: 9

Speed
165.8

output tokens/sec

Qwen3.5 35B A3B (Reasoning) generates output at 165.8 tokens per second (based on Alibaba's API), …

Latency
2.12s

TTFT

Qwen3.5 35B A3B (Reasoning) has a time to first token (TTFT) of 2. …

Input Price#110/130
$0.25

/ 1M tokens

Qwen3.5 35B A3B (Reasoning) costs $0.25 per 1M input tokens (somewhat higher than average, median: …

Output Price#113/130
$2.00

/ 1M tokens

Qwen3.5 35B A3B (Reasoning) costs $0.25 per 1M input tokens (somewhat higher than average, median: …

Decision Overview

Ethen's intelligence-driven routing assessment for this model

Overall verdict

Strong general-purpose model

Suitable for most production tasks, but high-volume or repetitive work should still be compared against cheaper routes.

Best for

  • Code generation
  • Content analysis
  • Structured extraction
  • Customer-facing chat
  • Low-latency chat

Weak or unsuitable

  • Extremely long-context tasks
  • Ultra-low-latency requirements
  • Predictable high-volume throughput

Routing recommendation

1

Cheaper routes for predictable extraction, labeling, or summarization

2

Cache-backed reuse for repeated prompts

Cost pressure

Moderate pricing — $0.25 / M input, $2.00 / M output. Costs are manageable, but volume should still be reviewed.

Model-fit matrix

Use this model where capability pays for itself; route away where volume, latency, or budget dominate.

Use caseFitReasonRouting note
Complex reasoning & agentic workflowsStrongIntelligence score 29 supports capable reasoning, but very hard tasks may benefit from higher-tier models.Good for most complex tasks; consider a frontier model for the hardest 10%.
High-volume chat & customer-facingExcellentOutput speed 165.8 tokens/sec and capable intelligence make this suitable for real-time chat at scale.Ideal for interactive chat; enable caching for repeated queries.
Latency-sensitive applicationsStrongTTFT 2.12s — adequate latency for most interactive use cases.Suitable for real-time; test with your specific workload.
Cost-sensitive pipelinesModerateOutput pricing at $2.00 is premium. Route high-volume simple tasks to cheaper alternatives.Use only for high-value tasks; route simple queries to budget models.

Cost pressure

Medium

Pricing is moderate — input $0.25, output $2.00. Costs accumulate at volume but are manageable for valuable tasks.

Cheaper substitutes

  • Cheaper routes for predictable extraction, labeling, or summarization

Route away when

  • Predictable high-volume throughput
  • Non-critical classification and extraction

Highlights

Key benchmark results at a glance.

Intelligence

Intelligence position

Open section

Artificial Analysis Intelligence Index · Higher is better · Evaluation results measured independently by Artificial Analysis

Qwen3.5 35B A3B (Reasoning) scores 29 (estimated) on the Artificial Analysis Intelligence Index, placing it well above average among other open weight models of similar size (median: 9).

0204060Claude Fable 5 (with fallback): 6060AClaude Fable 5 (with fal…GPT-5.5 (xhigh): 5555AIGPT-5.5 (xhigh)GLM-5.2 (max): 5151?GLM-5.2 (max)Gemini 3.5 Flash: 5050GGemini 3.5 FlashMiniMax-M3: 4444?MiniMax-M3DeepSeek V4 Pro (max): 4444DDeepSeek V4 Pro (max)Kimi K2.6: 4444KKimi K2.6Muse Spark: 4343?Muse SparkNemotron 3 Ultra: 3838NNemotron 3 UltraGrok 4.3 (high): 3838xGrok 4.3 (high)Qwen3.5 35B A3B: 2929QQwen3.5 35B A3Bgpt-oss-120b (high): 2424AIgpt-oss-120b (high)

Speed

Speed position

Open section

Output tokens per second · Higher is better · Evaluation results measured independently by Artificial Analysis

Qwen3.5 35B A3B (Reasoning) generates output at 165.8 tokens per second (based on Alibaba's API), which is well above average compared to other open weight models of similar size (median: 101.0 t/s).

088175263350gpt-oss-120b (high): 314314AIgpt-oss-120b (high)Nemotron 3 Ultra: 250250NNemotron 3 UltraGLM-5.2 (max): 218218?GLM-5.2 (max)gpt-oss-20b (high): 195195AIgpt-oss-20b (high)Gemini 3.5 Flash: 192192GGemini 3.5 FlashMistral Small 3.1: 171171MiMistral Small 3.1Qwen3.5 35B A3B: 166166QQwen3.5 35B A3BQwen3.6 35B A3B: 166166QQwen3.6 35B A3BGrok 4.3 (high): 164164xGrok 4.3 (high)Qwen3 30B A3B 2507: 131131QQwen3 30B A3B 2507NVIDIA Nemotron 3 Nano: 110110NNVIDIA Nemotron 3 NanoMiniMax-M3: 9999?MiniMax-M3

Context, Cost & Pricing

Price/value position

Open section

Weighted average cost (USD) per Intelligence Index task · Lower is better · Evaluation results measured independently by Artificial Analysis

Pricing is moderate — input $0.25, output $2.00. Costs accumulate at volume but are manageable for valuable tasks.

$0.00$1.00$2.00$3.00$4.00$5.00DeepSeek V4 Pro (max): $0.04$0.04DDeepSeek V4 Pro (max)gpt-oss-120b (high): $0.06$0.06AIgpt-oss-120b (high)MiniMax-M3: $0.12$0.12?MiniMax-M3Grok 4.3 (high): $0.14$0.14xGrok 4.3 (high)Nemotron 3 Ultra: $0.24$0.24NNemotron 3 UltraKimi K2.6: $0.35$0.35KKimi K2.6GLM-5.2 (max): $0.37$0.37?GLM-5.2 (max)Gemini 3.5 Flash: $0.59$0.59GGemini 3.5 FlashGPT-5.5 (xhigh): $0.86$0.86AIGPT-5.5 (xhigh)Claude Fable 5 (with fallback): $2.75$2.75AClaude Fable 5 (with fal…

Intelligence & Quality

Benchmark scores and quality indices measuring model capability.

AA-Omniscience Index

AA-Omniscience Index (higher is better) measures knowledge reliability and hallucination. It rewards correct answers, penalizes hallucinations, and has no penalty for refusing to answer. Scores range from -100 to 100, where 0 means as many correct as incorrect answers, and negative scores mean more incorrect than correct. · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

-50050Claude Fable 5 (with fallback): 4040AClaude Fable 5 (with fal…Gemini 3.5 Flash: 2323GGemini 3.5 FlashGPT-5.5 (xhigh): 2020AIGPT-5.5 (xhigh)Grok 4.3 (high): 1818xGrok 4.3 (high)Kimi K2.6: 6.46.4KKimi K2.6Muse Spark: 4.14.1?Muse SparkGLM-5.2 (max): 44?GLM-5.2 (max)MiniMax-M3: 1.41.4?MiniMax-M3Nemotron 3 Ultra: -0.8-0.8NNemotron 3 UltraDeepSeek V4 Pro (max): -10-10DDeepSeek V4 Pro (max)Qwen3.5 35B A3B: -46.4-46.4QQwen3.5 35B A3B

Artificial Analysis Intelligence Index by Open Weights / Proprietary

Artificial Analysis Intelligence Index v4.1 incorporates 9 evaluations: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0204060Claude Fable 5 (with fallback): 6060AClaude Fable 5 (with fal…GPT-5.5 (xhigh): 5555AIGPT-5.5 (xhigh)GLM-5.2 (max): 5151?GLM-5.2 (max)Gemini 3.5 Flash: 5050GGemini 3.5 FlashMiniMax-M3: 4444?MiniMax-M3DeepSeek V4 Pro (max): 4444DDeepSeek V4 Pro (max)Kimi K2.6: 4444KKimi K2.6Muse Spark: 4343?Muse SparkNemotron 3 Ultra: 3838NNemotron 3 UltraGrok 4.3 (high): 3838xGrok 4.3 (high)Qwen3.5 35B A3B: 2929QQwen3.5 35B A3B

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index v4.1 incorporates 9 evaluations: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0204060Claude Fable 5 (with fallback): 6060AClaude Fable 5 (with fal…GPT-5.5 (xhigh): 5555AIGPT-5.5 (xhigh)GLM-5.2 (max): 5151?GLM-5.2 (max)Gemini 3.5 Flash: 5050GGemini 3.5 FlashMiniMax-M3: 4444?MiniMax-M3DeepSeek V4 Pro (max): 4444DDeepSeek V4 Pro (max)Kimi K2.6: 4444KKimi K2.6Muse Spark: 4343?Muse SparkNemotron 3 Ultra: 3838NNemotron 3 UltraGrok 4.3 (high): 3838xGrok 4.3 (high)Qwen3.5 35B A3B: 2929QQwen3.5 35B A3B

Artificial Analysis Openness Index: Score

Openness Index assesses model openness on a 0 to 100 normalized scale (higher is more open) · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

050100Nemotron 3 Ultra: 8383NNemotron 3 UltraNVIDIA Nemotron 3 Nano: 8383NNVIDIA Nemotron 3 NanoDeepSeek V4 Pro (max): 5050DDeepSeek V4 Pro (max)Magistral Small 1.2: 5050?Magistral Small 1.2GLM-5.2 (max): 4444?GLM-5.2 (max)Qwen3 30B A3B 2507: 4444QQwen3 30B A3B 2507Qwen3.5 35B A3B: 3939QQwen3.5 35B A3Bgpt-oss-120b (high): 3939AIgpt-oss-120b (high)Qwen3.6 27B: 3939QQwen3.6 27BQwen3.6 35B A3B: 3939QQwen3.6 35B A3B

Intelligence

Artificial Analysis Intelligence Index · Higher is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0204060Claude Fable 5 (with fallback): 6060AClaude Fable 5 (with fal…GPT-5.5 (xhigh): 5555AIGPT-5.5 (xhigh)GLM-5.2 (max): 5151?GLM-5.2 (max)Gemini 3.5 Flash: 5050GGemini 3.5 FlashMiniMax-M3: 4444?MiniMax-M3DeepSeek V4 Pro (max): 4444DDeepSeek V4 Pro (max)Kimi K2.6: 4444KKimi K2.6Muse Spark: 4343?Muse SparkNemotron 3 Ultra: 3838NNemotron 3 UltraGrok 4.3 (high): 3838xGrok 4.3 (high)Qwen3.5 35B A3B: 2929QQwen3.5 35B A3B

Speed & Throughput

Output tokens per second and generation throughput.

Output Speed

Output tokens per second · Higher is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

088175263350gpt-oss-120b (high): 314314AIgpt-oss-120b (high)Nemotron 3 Ultra: 250250NNemotron 3 UltraGLM-5.2 (max): 218218?GLM-5.2 (max)gpt-oss-20b (high): 195195AIgpt-oss-20b (high)Gemini 3.5 Flash: 192192GGemini 3.5 FlashMistral Small 3.1: 171171MiMistral Small 3.1Qwen3.5 35B A3B: 166166QQwen3.5 35B A3BQwen3.6 35B A3B: 166166QQwen3.6 35B A3BGrok 4.3 (high): 164164xGrok 4.3 (high)Qwen3 30B A3B 2507: 131131QQwen3 30B A3B 2507

Speed

Output tokens per second · Higher is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

088175263350gpt-oss-120b (high): 314314AIgpt-oss-120b (high)Nemotron 3 Ultra: 250250NNemotron 3 UltraGLM-5.2 (max): 218218?GLM-5.2 (max)Gemini 3.5 Flash: 192192GGemini 3.5 FlashQwen3.5 35B A3B: 166166QQwen3.5 35B A3BGrok 4.3 (high): 164164xGrok 4.3 (high)MiniMax-M3: 9999?MiniMax-M3GPT-5.5 (xhigh): 8888AIGPT-5.5 (xhigh)Kimi K2.6: 7676KKimi K2.6DeepSeek V4 Pro (max): 7272DDeepSeek V4 Pro (max)

Latency & Response Time

Time to first token and end-to-end response latency.

End-to-End Response Time

Seconds to output 500 tokens, including reasoning model 'thinking' time · Lower is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0s15s30s45s60sGemma 4 31B: 15s15s?Gemma 4 31BQwen3.5 9B: 8.4s8.4sQQwen3.5 9BQwen3.6 27B: 8.3s8.3sQQwen3.6 27BDevstral Small 2: 7.4s7.4s?Devstral Small 2Kimi K2.6: 6.6s6.6sKKimi K2.6Ministral 3 14B: 6.4s6.4s?Ministral 3 14BMagistral Small 1.2: 6.2s6.2s?Magistral Small 1.2Qwen3 32B: 5.4s5.4sQQwen3 32BMiniMax-M3: 5s5s?MiniMax-M3NVIDIA Nemotron 3 Nano: 4.6s4.6sNNVIDIA Nemotron 3 NanoQwen3.5 35B A3B: 3s3sQQwen3.5 35B A3B

Latency: Time To First Answer Token

Seconds to first answer token received · Accounts for reasoning model 'thinking' time · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0s15s30s45s60sKimi K2.6: 58s58sKKimi K2.6Gemma 4 31B: 51s51s?Gemma 4 31BQwen3.5 9B: 34s34sQQwen3.5 9BQwen3.6 35B A3B: 33s33sQQwen3.6 35B A3BMagistral Small 1.2: 25s25s?Magistral Small 1.2Qwen3 32B: 21s21sQQwen3 32BMiniMax-M3: 20s20s?MiniMax-M3NVIDIA Nemotron 3 Nano: 18s18sNNVIDIA Nemotron 3 NanoQwen3 30B A3B 2507: 15s15sQQwen3 30B A3B 2507Qwen3.5 35B A3B: 12s12sQQwen3.5 35B A3B

Context, Cost & Pricing

Context window size, cost per task, and token pricing.

Context Window

Context window: tokens limit · Higher is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0250k500k750k1MGemini 3.5 Flash: 1M1MGGemini 3.5 FlashClaude Fable 5 (with fallback): 1M1MAClaude Fable 5 (with fal…GLM-5.2 (max): 1M1M?GLM-5.2 (max)DeepSeek V4 Pro (max): 1M1MDDeepSeek V4 Pro (max)Grok 4.3 (high): 1M1MxGrok 4.3 (high)MiniMax-M3: 1M1M?MiniMax-M3NVIDIA Nemotron 3 Nano: 1M1MNNVIDIA Nemotron 3 NanoGPT-5.5 (xhigh): 922k922kAIGPT-5.5 (xhigh)Qwen3.5 35B A3B: 262k262kQQwen3.5 35B A3BNemotron 3 Ultra: 262k262kNNemotron 3 Ultra

Cost per Intelligence Index Task

Weighted average cost (USD) per Artificial Analysis Intelligence Index task, segmented by token type. Lower is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

00.51GPT-5.5 (xhigh): 0.10.1AIGPT-5.5 (xhigh)Gemini 3.5 Flash: 0.10.1GGemini 3.5 FlashQwen3.6 27B: 00QQwen3.6 27BGLM-5.2 (max): 00?GLM-5.2 (max)Qwen3.6 27B: 00QQwen3.6 27BKimi K2.6: 00KKimi K2.6Qwen3.6 35B A3B: 00QQwen3.6 35B A3BNemotron 3 Ultra: 00NNemotron 3 UltraMiniMax-M3: 00?MiniMax-M3Grok 4.3 (high): 00xGrok 4.3 (high)

Cost per Task

Weighted average cost (USD) per Intelligence Index task · Lower is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

$0.00$1.00$2.00$3.00$4.00$5.00Claude Fable 5 (with fallback): $2.75$2.75AClaude Fable 5 (with fal…GPT-5.5 (xhigh): $0.86$0.86AIGPT-5.5 (xhigh)Gemini 3.5 Flash: $0.59$0.59GGemini 3.5 FlashGLM-5.2 (max): $0.37$0.37?GLM-5.2 (max)Kimi K2.6: $0.35$0.35KKimi K2.6Nemotron 3 Ultra: $0.24$0.24NNemotron 3 UltraGrok 4.3 (high): $0.14$0.14xGrok 4.3 (high)MiniMax-M3: $0.12$0.12?MiniMax-M3gpt-oss-120b (high): $0.06$0.06AIgpt-oss-120b (high)DeepSeek V4 Pro (max): $0.04$0.04DDeepSeek V4 Pro (max)

Cost to Run Artificial Analysis Intelligence Index

Cost (USD) to run all evaluations in the Artificial Analysis Intelligence Index · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

050100150200Qwen3.6 35B A3B: 165165QQwen3.6 35B A3BGPT-5.5 (xhigh): 132132AIGPT-5.5 (xhigh)Gemini 3.5 Flash: 114114GGemini 3.5 FlashQwen3.6 27B: 8888QQwen3.6 27BNemotron 3 Ultra: 3434NNemotron 3 UltraGLM-5.2 (max): 3333?GLM-5.2 (max)Qwen3.6 27B: 2828QQwen3.6 27BKimi K2.6: 2525KKimi K2.6MiniMax-M3: 1515?MiniMax-M3Grok 4.3 (high): 1313xGrok 4.3 (high)

Pricing: Cache Hit, Input, and Output

Price (USD per M Tokens) · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0250k500k750k1MQwen3 32B: 9.19.1QQwen3 32BGLM-5.2 (max): 6.16.1?GLM-5.2 (max)Kimi K2.6: 5.15.1KKimi K2.6Qwen3.6 27B: 4.24.2QQwen3.6 27BQwen3.6 27B: 4.24.2QQwen3.6 27BGrok 4.3 (high): 44xGrok 4.3 (high)Nemotron 3 Ultra: 3.63.6NNemotron 3 UltraQwen3 30B A3B 2507: 2.62.6QQwen3 30B A3B 2507Qwen3.5 35B A3B: 2.32.3QQwen3.5 35B A3BMagistral Small 1.2: 22?Magistral Small 1.2inputoutputcache Hit

Time per Intelligence Index Task

Weighted average decode time (minutes) per task; excludes TTFT and overhead time · Lower is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

02468DeepSeek V4 Pro (max): 6.86.8DDeepSeek V4 Pro (max)Qwen3.6 27B: 6.56.5QQwen3.6 27BGemma 4 31B: 5.55.5?Gemma 4 31BClaude Fable 5 (with fallback): 4.84.8AClaude Fable 5 (with fal…MiniMax-M3: 3.93.9?MiniMax-M3NVIDIA Nemotron 3 Nano: 3.23.2NNVIDIA Nemotron 3 NanoGPT-5.5 (xhigh): 33AIGPT-5.5 (xhigh)Qwen3.6 27B: 33QQwen3.6 27BGLM-5.2 (max): 2.82.8?GLM-5.2 (max)Qwen3.6 35B A3B: 2.62.6QQwen3.6 35B A3B

Architecture & Scale

Model size, parameters, and architectural details.

Model Size: Total and Active Parameters

Comparison between total model parameters and parameters active during inference · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0250k500k750k1MDeepSeek V4 Pro (max): 1.6k1.6kDDeepSeek V4 Pro (max)Kimi K2.6: 1k1kKKimi K2.6GLM-5.2 (max): 753753?GLM-5.2 (max)Nemotron 3 Ultra: 550550NNemotron 3 UltraMiniMax-M3: 428428?MiniMax-M3gpt-oss-120b (high): 117117AIgpt-oss-120b (high)Qwen3.5 35B A3B: 3636QQwen3.5 35B A3BQwen3.6 35B A3B: 3636QQwen3.6 35B A3BQwen3 32B: 3333QQwen3 32BNVIDIA Nemotron 3 Nano: 3232NNVIDIA Nemotron 3 Nanopassive Paramsactive Params

Specifications

Technical Specifications

Qwen3.5 35B A3B (Reasoning) scores 29 (estimated) on the Artificial Analysis Intelligence Index, placing it well above average among other open weight models of similar size (median: 9). Qwen3.5 35B A3B (Reasoning) generates output at 165.8 tokens per second (based on Alibaba's API), which is well above average compared to other open weight models of similar size (median: 101.0 t/s). Qwen3.5 35B A3B (Reasoning) costs $0.25 per 1M input tokens (somewhat higher than average, median: $0.18) and $2.00 per 1M output tokens (at the higher end, median: $0.40), based on Alibaba's API.

Qwen3.5 35B A3B

Model type
Open weights
Reasoning
Yes
Input modalities
Qwen3.5 35B A3B (Reasoning) supports text and image input.
Output modalities
Qwen3.5 35B A3B (Reasoning) supports text output.
Context window
260k tokens
Open weights / source
Yes, Qwen3.5 35B A3B (Reasoning) is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Parameters
Qwen3.5 35B A3B (Reasoning) has 36 billion parameters (3 billion active).
Active parameters
Qwen3.5 35B A3B (Reasoning) is a Mixture of Experts (MoE) model with 36 billion total parameters, but only 3 billion active parameters are used during inference.
License
Qwen3.5 35B A3B (Reasoning) is released under the Apache 2.0 license. This license allows commercial use.
API availability
Yes, Qwen3.5 35B A3B (Reasoning) is available via API through 5 providers.

Methodology & Provenance

This page is rendered from the normalized profile and page JSON for Qwen3.5 35B A3B.

Benchmark values are preserved as normalized; only layout, disclosure ordering, and typography are adjusted for readability.

Frequently Asked Questions