Model profile
Alibaba
New in 2026

Qwen3.5 35B A3B (Reasoning)

Qwen3.5 35B A3B (Reasoning) is a budget-priced text-first model from Alibaba with fast runtime profile, partial context coverage, and the clearest fit around agent workflows / reasoning.

Best for: Agent workflows / ReasoningFast latencyN/A contextBudget pricing
Intelligence
37.1

Benchmark blend

Coding
30.3

Dev workflow signal

Context
N/A

N/A

Input Price
$0.25

Budget tier

Decision snapshot
56

Qwen3.5 35B A3B (Reasoning) currently reads as a budget text-first option with partially published context and a fast runtime profile.

Overall profile
Selective fit
Best for
Agent workflows / Reasoning
Latency tier
Fast
Price tier
Budget
Source coverage
OpenRouterArtificial Analysis

Decision Strip

Decision rail before the raw tables

Core buy-side signals stay in one pass. The rest of the page expands only after intelligence, speed, context, and price are clear.

Intelligence
37.1
37

General reasoning and benchmark headroom.

Limited
Speed
133 tok/s
88

TTFT 1.03s

Above average
Context
N/A
N/A

How much prompt and task state can stay in view.

Unavailable
Price
$0.25
86

$2.00 output / 1M

Efficient

Editorial Profile

Qwen3.5 35B A3B (Reasoning) in one narrative

Positioning, tradeoffs, and fit are consolidated into one read instead of repeating the same story across separate cards.

Selective fitCoding score 30Math score N/A

The Qwen3.5 35B A3B (Reasoning) AI model by Alibaba.

Identity

Alibaba text-first profile

Positioning

Agent workflows / Reasoning with partially published context and fast runtime.

Cost posture

Efficient spend profile. More comfortable for sustained prompt volume if the capability fit is right.

Strengths
  • Latency and throughput look responsive enough for interactive loops.

Tradeoffs
  • Budget-friendly input pricing is a strength, but raw capability may vary by workload.

  • Current metadata points to a text-first profile rather than a broad multimodal one.

  • Context limits are only partially published, so long-session planning needs extra validation.

Best fit
  • Focused chat, retrieval-augmented flows, and narrower production tasks.

Explore Next

Similar profiles worth opening next

Alibaba

Qwen: Qwen3.6 Plus

Intelligence
50.0
Context
1000K Tokens
Input Price
$0.50
Alibaba

Qwen: Qwen3.5 397B A17B

Intelligence
45.0
Context
262K Tokens
Input Price
$0.60
Alibaba

Qwen3.5 27B (Reasoning)

Intelligence
42.1
Context
N/A
Input Price
$0.30

Benchmarks

Grouped by job-to-be-done

Only benchmark categories with actual signal are shown. Secondary values stay as simple definitions instead of nested micro-cards.

General intelligence

Broad reasoning, knowledge depth, and flagship benchmark posture.

Intelligence Index
37.1
GPQA
84.5%
HLE
19.7%
Coding

Software implementation, debugging quality, and coding benchmark signal.

Coding Index
30.3
SciCode
37.7%
Agent / tool use

Long-horizon execution quality and interactive benchmark evidence.

IFBench
72.5%
TAU2
89.2%
TerminalBench Hard
26.5%
LCR
62.7%

Specs & Pricing

Technical snapshot and cost posture

Specs stay neutral, pricing gets emphasis through values rather than extra containers. Raw provider internals remain in metadata at the end.

Technical snapshot
Context Window
N/A
Vision
Text-first
Price architecture
Input
per 1M input tokens
$0.25
Output
per 1M output tokens
$2.00
Blended
AA 3:1 mix
$0.69

This model is relatively efficient on price. It is the easier fit when sustained prompt volume matters.

Metadata

Raw source tables at the end

Verification details remain available, but the page no longer forces them ahead of the editorial read.