Choose AionLabs: Aion-1.0 if…
- you need reasoning / thinking mode — to spend extra tokens thinking before answering hard problems; Mistral: Mistral Large 3 2512 (batch) does not advertise it
AionLabs: Aion-1.0 vs Mistral: Mistral Large 3 2512 (batch)
Neither wins outright: AionLabs: Aion-1.0 is the pick when you need reasoning / thinking mode, Mistral: Mistral Large 3 2512 (batch) when cost matters at scale.
Key numbers
| Spec | AionLabs: Aion-1.0 | Mistral: Mistral Large 3 2512 (batch) |
|---|---|---|
| Provider | Aion Labs | Mistral AI |
| Input price (per 1M tokens) | $4.00 | $0.25 |
| Output price (per 1M tokens) | $8.00 | $0.75 |
| Blended price (3:1 input/output) | $5.00 | $0.38 |
| Cheaper than … of all models we track | 10% | 59% |
| Context window | 131K tokens (~197 pages) | 262K tokens (~393 pages) |
| Larger context than … of all models | 23% | 48% |
| Max output per response | 33K tokens (~24,600 words) | 210K tokens (~157,300 words) |
| Input types | text | text, image, file |
| Output types | text | text |
| Free variant | No | No |
| Listed since | 2025-02-04 | 2025-12-01 |
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What it costs for real workloads
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-1.0 | Mistral: Mistral Large 3 2512 (batch) | Difference |
|---|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens) | $460 | $33.75 | Mistral: Mistral Large 3 2512 (batch) saves $426 |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens) | $560 | $37.50 | Mistral: Mistral Large 3 2512 (batch) saves $523 |
| 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) | $576 | $39.00 | Mistral: Mistral Large 3 2512 (batch) saves $537 |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens) | $368 | $24.50 | Mistral: Mistral Large 3 2512 (batch) saves $344 |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens) | $208 | $13.25 | Mistral: Mistral Large 3 2512 (batch) saves $195 |
Capabilities side by side
| Capability | AionLabs: Aion-1.0 | Mistral: Mistral Large 3 2512 (batch) | What it lets you do |
|---|---|---|---|
| Tool / function calling | — | ✓ Yes | call your APIs and run agent loops |
| Structured output (JSON schema) | — | ✓ 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-1.0: price unchanged since we started tracking it on 2026-03-10.
- Mistral: Mistral Large 3 2512 (batch): input price cut 50% ($0.50 → $0.25/1M), output price cut 50% ($1.50 → $0.75/1M) on 2026-09-10.
| Date | Model | Input / 1M | Output / 1M |
|---|---|---|---|
| 2026-09-10 | Mistral: Mistral Large 3 2512 (batch) | $0.25 | $0.75 |
Which should you choose?
Choose Mistral: Mistral Large 3 2512 (batch) if…
- cost matters at scale — it is 93% cheaper on a typical 3:1 input/output mix ($33.75 vs $460 a month for 50,000 support chats)
- you need to fit long inputs in one request — 262K tokens is roughly 393 pages, against 197
- you need tool / function calling — to call your APIs and run agent loops; AionLabs: Aion-1.0 does not advertise it
- you need structured output (JSON schema) — to return JSON that validates against your schema; AionLabs: Aion-1.0 does not advertise it
- you need image input — to read screenshots, charts and scanned pages; AionLabs: Aion-1.0 does not advertise it
- you need file / PDF input — to accept documents without your own parsing step; AionLabs: Aion-1.0 does not advertise it
- you need seed (reproducible sampling) — to repeat a generation for tests and evals; AionLabs: Aion-1.0 does not advertise it
- you generate long outputs in one go — up to 210K tokens (about 157,300 words) per response
- you want the newer model — released 2025-12-01, 10 months after the other
Frequently asked questions
Is AionLabs: Aion-1.0 better than Mistral: Mistral Large 3 2512 (batch)?
Neither wins outright: AionLabs: Aion-1.0 is the pick when you need reasoning / thinking mode, Mistral: Mistral Large 3 2512 (batch) when cost matters at scale. In short: AionLabs: Aion-1.0 when you need reasoning / thinking mode; Mistral: Mistral Large 3 2512 (batch) when cost matters at scale, you need to fit long inputs in one request, you need tool / function calling, you need structured output (JSON schema), you need image input, you need file / PDF input, you need seed (reproducible sampling), you generate long outputs in one go, you want the newer model.
Which is cheaper, AionLabs: Aion-1.0 or Mistral: Mistral Large 3 2512 (batch)?
Mistral: Mistral Large 3 2512 (batch) is cheaper: $0.38 vs $5.00 per 1M tokens at a typical 3:1 input/output mix, 93% less. For 50,000 support conversations a month that is $33.75 against $460.
How much do AionLabs: Aion-1.0 and Mistral: Mistral Large 3 2512 (batch) cost per million tokens?
AionLabs: Aion-1.0 costs $4.00 per 1M input tokens and $8.00 per 1M output tokens; Mistral: Mistral Large 3 2512 (batch) costs $0.25 input and $0.75 output. Output tokens are billed separately, so long answers shift the gap.
Which has the bigger context window, AionLabs: Aion-1.0 or Mistral: Mistral Large 3 2512 (batch)?
Mistral: Mistral Large 3 2512 (batch): 262K tokens, about 393 pages, against 131K (about 197 pages) for AionLabs: Aion-1.0.
Do AionLabs: Aion-1.0 and Mistral: Mistral Large 3 2512 (batch) support function calling and JSON output?
Tool calling — AionLabs: Aion-1.0: not advertised, Mistral: Mistral Large 3 2512 (batch): yes. JSON-schema structured output — AionLabs: Aion-1.0: not advertised, Mistral: Mistral Large 3 2512 (batch): yes.
Can AionLabs: Aion-1.0 or Mistral: Mistral Large 3 2512 (batch) read images?
Only Mistral: Mistral Large 3 2512 (batch) accepts image input; AionLabs: Aion-1.0 is text-only for input.
Is AionLabs: Aion-1.0 or Mistral: Mistral Large 3 2512 (batch) free to use?
No free variant is listed for either; both are pay-per-token.
What is the maximum output length of AionLabs: Aion-1.0 and Mistral: Mistral Large 3 2512 (batch)?
AionLabs: Aion-1.0 can write up to 33K tokens (about 24,600 words) per response; Mistral: Mistral Large 3 2512 (batch) up to 210K (about 157,300 words).
When were AionLabs: Aion-1.0 and Mistral: Mistral Large 3 2512 (batch) released?
AionLabs: Aion-1.0 was listed on 2025-02-04; Mistral: Mistral Large 3 2512 (batch) on 2025-12-01.
Has the price of AionLabs: Aion-1.0 or Mistral: Mistral Large 3 2512 (batch) changed?
AionLabs: Aion-1.0: price unchanged since we started tracking it on 2026-03-10. Mistral: Mistral Large 3 2512 (batch): input price cut 50% ($0.50 → $0.25/1M), output price cut 50% ($1.50 → $0.75/1M) on 2026-09-10.
About the two models
AionLabs: Aion-1.0
Aion-1.0 is a multi-model system designed for high performance across various tasks, including reasoning and coding. It is built on DeepSeek-R1, augmented with additional models and techniques such as Tree of Thoughts (ToT) and Mixture of Experts (MoE). It is Aion Lab's most powerful reasoning model.
Full AionLabs: Aion-1.0 specs →Mistral: Mistral Large 3 2512 (batch)
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.
Full Mistral: Mistral Large 3 2512 (batch) specs →