Neither wins outright: OpenAI: GPT-5.4 Nano (batch) is the pick when you need to fit long inputs in one request, Recursive: Flint (free) when cost matters at scale.
| Spec | OpenAI: GPT-5.4 Nano (batch) | Recursive: Flint (free) |
|---|---|---|
| Provider | OpenAI | Recursive |
| Input price (per 1M tokens) | $0.10 | $0 |
| Output price (per 1M tokens) | $0.63 | $0 |
| Blended price (3:1 input/output) | $0.23 | $0 |
| Cheaper than … of all models we track | 67% | 90% |
| Context window | 400K tokens (~600 pages) | 262K tokens (~393 pages) |
| Larger context than … of all models | 63% | 47% |
| Max output per response | 128K tokens (~96,000 words) | 236K tokens (~176,900 words) |
| Input types | file, image, text | text |
| Output types | text | text |
| Free variant | No | Yes |
| Listed since | 2026-03-17 | 2026-10-21 |
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) | OpenAI: GPT-5.4 Nano (batch) | Recursive: Flint (free) | Difference |
|---|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens) | $20.00 | $0 | Recursive: Flint (free) saves $20.00 |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens) | $18.25 | $0 | Recursive: Flint (free) saves $18.25 |
| 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) | $19.50 | $0 | Recursive: Flint (free) saves $19.50 |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens) | $11.75 | $0 | Recursive: Flint (free) saves $11.75 |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens) | $5.63 | $0 | Recursive: Flint (free) saves $5.63 |
| Capability | OpenAI: GPT-5.4 Nano (batch) | Recursive: Flint (free) | 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 | ✓ 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 | ✓ Yes | — | answer from live web results |
| Seed (reproducible sampling) | ✓ Yes | ✓ 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.
Neither wins outright: OpenAI: GPT-5.4 Nano (batch) is the pick when you need to fit long inputs in one request, Recursive: Flint (free) when cost matters at scale. In short: OpenAI: GPT-5.4 Nano (batch) when you need to fit long inputs in one request, you need image input, you need file / PDF input, you need built-in web search; Recursive: Flint (free) when cost matters at scale, you need log-probabilities, you generate long outputs in one go, you want to prototype at zero cost, you want the newer model.
Recursive: Flint (free) is cheaper: $0 vs $0.23 per 1M tokens at a typical 3:1 input/output mix, 100% less. For 50,000 support conversations a month that is $0 against $20.00.
OpenAI: GPT-5.4 Nano (batch) costs $0.10 per 1M input tokens and $0.63 per 1M output tokens; Recursive: Flint (free) costs $0 input and $0 output. Output tokens are billed separately, so long answers shift the gap.
OpenAI: GPT-5.4 Nano (batch): 400K tokens, about 600 pages, against 262K (about 393 pages) for Recursive: Flint (free).
Tool calling — OpenAI: GPT-5.4 Nano (batch): yes, Recursive: Flint (free): yes. JSON-schema structured output — OpenAI: GPT-5.4 Nano (batch): yes, Recursive: Flint (free): yes.
Only OpenAI: GPT-5.4 Nano (batch) accepts image input; Recursive: Flint (free) is text-only for input.
Recursive: Flint (free) has a free variant (recursive/flint-v1.0:free). Free variants usually carry tighter rate limits.
OpenAI: GPT-5.4 Nano (batch) can write up to 128K tokens (about 96,000 words) per response; Recursive: Flint (free) up to 236K (about 176,900 words).
OpenAI: GPT-5.4 Nano (batch) was listed on 2026-03-17; Recursive: Flint (free) on 2026-10-21.
GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is designed for low-latency...
Full OpenAI: GPT-5.4 Nano (batch) specs →Flint is an open-weight mixture-of-experts model from Recursive, with about 2.5B active parameters out of 40B total, built by Recursive's autoresearch system Eureka Machine for coding agents. It is suited...
Full Recursive: Flint (free) specs →