AionLabs: Aion 3.5 vs Qwen: Qwen3 235B A22B Instruct 2507
Neither wins outright: AionLabs: Aion 3.5 is the pick when you need reasoning / thinking mode, Qwen: Qwen3 235B A22B Instruct 2507 when cost matters at scale.
Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.
Workload (per month)
AionLabs: Aion 3.5
Qwen: Qwen3 235B A22B Instruct 2507
Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$345
$17.75
Qwen: Qwen3 235B A22B Instruct 2507 saves $327
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$420
$16.30
Qwen: Qwen3 235B A22B Instruct 2507 saves $404
Coding / tool-using agent
2,000 tasks — each a multi-step task with tool calls and file context (60,000 in / 6,000 out tokens)
$432
$17.40
Qwen: Qwen3 235B A22B Instruct 2507 saves $415
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$276
$10.50
Qwen: Qwen3 235B A22B Instruct 2507 saves $266
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$156
$5.05
Qwen: Qwen3 235B A22B Instruct 2507 saves $151
Capabilities side by side
Capability
AionLabs: Aion 3.5
Qwen: Qwen3 235B A22B Instruct 2507
What it lets you do
Tool / function calling
✓ Yes
✓ Yes
call your APIs and run agent loops
Structured output (JSON schema)
✓ Yes
✓ Yes
return JSON that validates against your schema
Reasoning / thinking mode
✓ Yes
—
spend extra tokens thinking before answering hard problems
Image input
—
—
read screenshots, charts and scanned pages
Audio input
—
—
take speech or audio directly
File / PDF input
—
—
accept documents without your own parsing step
Image output
—
—
generate images, not just text
Built-in web search
—
—
answer from live web results
Seed (reproducible sampling)
—
✓ Yes
repeat a generation for tests and evals
Log-probabilities
—
✓ Yes
read token confidence for classification and scoring
From each model's published parameters and input/output types. “—” means not advertised, not proven absent.
Price history
AionLabs: Aion 3.5: price unchanged since we started tracking it on 2026-09-24.
you need reasoning / thinking mode — to spend extra tokens thinking before answering hard problems; Qwen: Qwen3 235B A22B Instruct 2507 does not advertise it
you generate long outputs in one go — up to 33K tokens (about 24,600 words) per response
you want the newer model — released 2026-09-23, 14 months after the other
Choose Qwen: Qwen3 235B A22B Instruct 2507 if…
cost matters at scale — it is 95% cheaper on a typical 3:1 input/output mix ($17.75 vs $345 a month for 50,000 support chats)
you need seed (reproducible sampling) — to repeat a generation for tests and evals; AionLabs: Aion 3.5 does not advertise it
you need log-probabilities — to read token confidence for classification and scoring; AionLabs: Aion 3.5 does not advertise it
Frequently asked questions
Is AionLabs: Aion 3.5 better than Qwen: Qwen3 235B A22B Instruct 2507?
Neither wins outright: AionLabs: Aion 3.5 is the pick when you need reasoning / thinking mode, Qwen: Qwen3 235B A22B Instruct 2507 when cost matters at scale. In short: AionLabs: Aion 3.5 when you need reasoning / thinking mode, you generate long outputs in one go, you want the newer model; Qwen: Qwen3 235B A22B Instruct 2507 when cost matters at scale, you need seed (reproducible sampling), you need log-probabilities.
Which is cheaper, AionLabs: Aion 3.5 or Qwen: Qwen3 235B A22B Instruct 2507?
Qwen: Qwen3 235B A22B Instruct 2507 is cheaper: $0.21 vs $3.75 per 1M tokens at a typical 3:1 input/output mix, 95% less. For 50,000 support conversations a month that is $17.75 against $345.
How much do AionLabs: Aion 3.5 and Qwen: Qwen3 235B A22B Instruct 2507 cost per million tokens?
AionLabs: Aion 3.5 costs $3.00 per 1M input tokens and $6.00 per 1M output tokens; Qwen: Qwen3 235B A22B Instruct 2507 costs $0.09 input and $0.55 output. Output tokens are billed separately, so long answers shift the gap.
Which has the bigger context window, AionLabs: Aion 3.5 or Qwen: Qwen3 235B A22B Instruct 2507?
Both take 262K tokens per request — roughly 393 pages of text.
Do AionLabs: Aion 3.5 and Qwen: Qwen3 235B A22B Instruct 2507 support function calling and JSON output?
Aion 3.5 is a multi-model roleplaying and storytelling system from AionLabs, built on the GLM family of models. It uses a collaborative generation process in which multiple specialized models each...
Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following,...