Model profile
Alibaba
New in 2026

Qwen3.5 9B (Reasoning)

Qwen3.5 9B (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
32.4

Benchmark blend

Coding
25.3

Dev workflow signal

Context
N/A

N/A

Input Price
$0.07

Budget tier

Decision snapshot
55

Qwen3.5 9B (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
32.4
32

General reasoning and benchmark headroom.

Limited
Speed
172 tok/s
98

TTFT 0.52s

Above average
Context
N/A
N/A

How much prompt and task state can stay in view.

Unavailable
Price
$0.07
86

$0.17 output / 1M

Efficient

Editorial Profile

Qwen3.5 9B (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 25Math score N/A

The Qwen3.5 9B (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.

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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
32.4
GPQA
80.6%
HLE
13.3%
Coding

Software implementation, debugging quality, and coding benchmark signal.

Coding Index
25.3
SciCode
27.5%
Agent / tool use

Long-horizon execution quality and interactive benchmark evidence.

IFBench
66.7%
TAU2
86.8%
TerminalBench Hard
24.2%
LCR
59.0%

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
$0.07
Output
per 1M output tokens
$0.17
Blended
AA 3:1 mix
$0.10

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.