AionLabs: Aion 3.5 vs Mistral: Mistral Large 3 2512
Neither wins outright: AionLabs: Aion 3.5 is the pick when you need reasoning / thinking mode, Mistral: Mistral Large 3 2512 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
Mistral: Mistral Large 3 2512
Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$345
$67.50
Mistral: Mistral Large 3 2512 saves $278
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$420
$75.00
Mistral: Mistral Large 3 2512 saves $345
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
$78.00
Mistral: Mistral Large 3 2512 saves $354
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$276
$49.00
Mistral: Mistral Large 3 2512 saves $227
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$156
$26.50
Mistral: Mistral Large 3 2512 saves $130
Capabilities side by side
Capability
AionLabs: Aion 3.5
Mistral: Mistral Large 3 2512
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
—
✓ Yes
read screenshots, charts and scanned pages
Audio input
—
—
take speech or audio directly
File / PDF input
—
✓ Yes
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
—
—
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.
Mistral: Mistral Large 3 2512: price unchanged since we started tracking it on 2026-03-10.
Which should you choose?
Choose AionLabs: Aion 3.5 if…
you need reasoning / thinking mode — to spend extra tokens thinking before answering hard problems; Mistral: Mistral Large 3 2512 does not advertise it
you want the newer model — released 2026-09-23, 10 months after the other
Choose Mistral: Mistral Large 3 2512 if…
cost matters at scale — it is 80% cheaper on a typical 3:1 input/output mix ($67.50 vs $345 a month for 50,000 support chats)
you need image input — to read screenshots, charts and scanned pages; AionLabs: Aion 3.5 does not advertise it
you need file / PDF input — to accept documents without your own parsing step; AionLabs: Aion 3.5 does not advertise it
you need seed (reproducible sampling) — to repeat a generation for tests and evals; AionLabs: Aion 3.5 does not advertise it
you generate long outputs in one go — up to 210K tokens (about 157,300 words) per response
Frequently asked questions
Is AionLabs: Aion 3.5 better than Mistral: Mistral Large 3 2512?
Neither wins outright: AionLabs: Aion 3.5 is the pick when you need reasoning / thinking mode, Mistral: Mistral Large 3 2512 when cost matters at scale. In short: AionLabs: Aion 3.5 when you need reasoning / thinking mode, you want the newer model; Mistral: Mistral Large 3 2512 when cost matters at scale, you need image input, you need file / PDF input, you need seed (reproducible sampling), you generate long outputs in one go.
Which is cheaper, AionLabs: Aion 3.5 or Mistral: Mistral Large 3 2512?
Mistral: Mistral Large 3 2512 is cheaper: $0.75 vs $3.75 per 1M tokens at a typical 3:1 input/output mix, 80% less. For 50,000 support conversations a month that is $67.50 against $345.
How much do AionLabs: Aion 3.5 and Mistral: Mistral Large 3 2512 cost per million tokens?
AionLabs: Aion 3.5 costs $3.00 per 1M input tokens and $6.00 per 1M output tokens; Mistral: Mistral Large 3 2512 costs $0.50 input and $1.50 output. Output tokens are billed separately, so long answers shift the gap.
Which has the bigger context window, AionLabs: Aion 3.5 or Mistral: Mistral Large 3 2512?
Both take 262K tokens per request — roughly 393 pages of text.
Do AionLabs: Aion 3.5 and Mistral: Mistral Large 3 2512 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...
Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.