Choose Mistral: Mistral Large 3 2512 (batch) if…
- 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, 4 months after the other
Mistral: Mistral Large 3 2512 (batch) vs OpenAI: GPT-5 Nano
Neither wins outright: Mistral: Mistral Large 3 2512 (batch) is the pick when you generate long outputs in one go, OpenAI: GPT-5 Nano when cost matters at scale.
Key numbers
| Spec | Mistral: Mistral Large 3 2512 (batch) | OpenAI: GPT-5 Nano |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Input price (per 1M tokens) | $0.25 | $0.05 |
| Output price (per 1M tokens) | $0.75 | $0.40 |
| Blended price (3:1 input/output) | $0.38 | $0.14 |
| Cheaper than … of all models we track | 59% | 75% |
| Context window | 262K tokens (~393 pages) | 400K tokens (~600 pages) |
| Larger context than … of all models | 48% | 63% |
| Max output per response | 210K tokens (~157,300 words) | 128K tokens (~96,000 words) |
| Input types | text, image, file | text, image, file |
| Output types | text | text |
| Free variant | No | No |
| Listed since | 2025-12-01 | 2025-08-07 |
Advertisement
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) | Mistral: Mistral Large 3 2512 (batch) | OpenAI: GPT-5 Nano | Difference |
|---|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens) | $33.75 | $11.75 | OpenAI: GPT-5 Nano saves $22.00 |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens) | $37.50 | $10.00 | OpenAI: GPT-5 Nano saves $27.50 |
| 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) | $39.00 | $10.80 | OpenAI: GPT-5 Nano saves $28.20 |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens) | $24.50 | $6.40 | OpenAI: GPT-5 Nano saves $18.10 |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens) | $13.25 | $2.90 | OpenAI: GPT-5 Nano saves $10.35 |
Capabilities side by side
| Capability | Mistral: Mistral Large 3 2512 (batch) | OpenAI: GPT-5 Nano | 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 | ✓ Yes | read screenshots, charts and scanned pages |
| Audio input | — | — | take speech or audio directly |
| File / PDF input | ✓ Yes | ✓ Yes | accept documents without your own parsing step |
| Image output | — | — | generate images, not just text |
| Built-in web search | — | ✓ Yes | answer from live web results |
| Seed (reproducible sampling) | ✓ Yes | ✓ 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
- 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.
- OpenAI: GPT-5 Nano: price unchanged since we started tracking it on 2026-03-10.
| Date | Model | Input / 1M | Output / 1M |
|---|---|---|---|
| 2026-09-10 | Mistral: Mistral Large 3 2512 (batch) | $0.25 | $0.75 |
Which should you choose?
Choose OpenAI: GPT-5 Nano if…
- cost matters at scale — it is 63% cheaper on a typical 3:1 input/output mix ($11.75 vs $33.75 a month for 50,000 support chats)
- you need to fit long inputs in one request — 400K tokens is roughly 600 pages, against 393
- you need reasoning / thinking mode — to spend extra tokens thinking before answering hard problems; Mistral: Mistral Large 3 2512 (batch) does not advertise it
- you need built-in web search — to answer from live web results; Mistral: Mistral Large 3 2512 (batch) does not advertise it
Frequently asked questions
Is Mistral: Mistral Large 3 2512 (batch) better than OpenAI: GPT-5 Nano?
Neither wins outright: Mistral: Mistral Large 3 2512 (batch) is the pick when you generate long outputs in one go, OpenAI: GPT-5 Nano when cost matters at scale. In short: Mistral: Mistral Large 3 2512 (batch) when you generate long outputs in one go, you want the newer model; OpenAI: GPT-5 Nano when cost matters at scale, you need to fit long inputs in one request, you need reasoning / thinking mode, you need built-in web search.
Which is cheaper, Mistral: Mistral Large 3 2512 (batch) or OpenAI: GPT-5 Nano?
OpenAI: GPT-5 Nano is cheaper: $0.14 vs $0.38 per 1M tokens at a typical 3:1 input/output mix, 63% less. For 50,000 support conversations a month that is $11.75 against $33.75.
How much do Mistral: Mistral Large 3 2512 (batch) and OpenAI: GPT-5 Nano cost per million tokens?
Mistral: Mistral Large 3 2512 (batch) costs $0.25 per 1M input tokens and $0.75 per 1M output tokens; OpenAI: GPT-5 Nano costs $0.05 input and $0.40 output. Output tokens are billed separately, so long answers shift the gap.
Which has the bigger context window, Mistral: Mistral Large 3 2512 (batch) or OpenAI: GPT-5 Nano?
OpenAI: GPT-5 Nano: 400K tokens, about 600 pages, against 262K (about 393 pages) for Mistral: Mistral Large 3 2512 (batch).
Do Mistral: Mistral Large 3 2512 (batch) and OpenAI: GPT-5 Nano support function calling and JSON output?
Tool calling — Mistral: Mistral Large 3 2512 (batch): yes, OpenAI: GPT-5 Nano: yes. JSON-schema structured output — Mistral: Mistral Large 3 2512 (batch): yes, OpenAI: GPT-5 Nano: yes.
Can Mistral: Mistral Large 3 2512 (batch) or OpenAI: GPT-5 Nano read images?
Yes, both accept image input.
Is Mistral: Mistral Large 3 2512 (batch) or OpenAI: GPT-5 Nano free to use?
No free variant is listed for either; both are pay-per-token.
What is the maximum output length of Mistral: Mistral Large 3 2512 (batch) and OpenAI: GPT-5 Nano?
Mistral: Mistral Large 3 2512 (batch) can write up to 210K tokens (about 157,300 words) per response; OpenAI: GPT-5 Nano up to 128K (about 96,000 words).
When were Mistral: Mistral Large 3 2512 (batch) and OpenAI: GPT-5 Nano released?
Mistral: Mistral Large 3 2512 (batch) was listed on 2025-12-01; OpenAI: GPT-5 Nano on 2025-08-07.
Has the price of Mistral: Mistral Large 3 2512 (batch) or OpenAI: GPT-5 Nano changed?
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. OpenAI: GPT-5 Nano: price unchanged since we started tracking it on 2026-03-10.
About the two models
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 →OpenAI: GPT-5 Nano
GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger...
Full OpenAI: GPT-5 Nano specs →