Gemini 3.7 Flash vs GPT-5.6 Terra
Pricing, context window and real answers (August 2026)
Gemini 3.7 Flash (Google) and GPT-5.6 Terra (OpenAI), compared as you can actually call them on FastMetal. Both are served from the same OpenAI-compatible endpoint and API key; switching is a change to the model string.
Specs and pricing
 Gemini 3.7 Flash |  GPT-5.6 Terra | |
|---|---|---|
| Provider | OpenAI | |
| Input (per 1M tokens) | ¥134.03 | ¥357.4 |
| Output (per 1M tokens) | ¥670.13 | ¥2,144.4 |
| Typical cost (1,000 in + 500 out tokens × 1,000 calls) | ¥469 | ¥1,430 |
| Context window | 1,048,576 tokens | 1,050,000 tokens |
| Release date | 8/13/2026 | 7/9/2026 |
| Input modalities | text, image, video, file, audio | file, image, text |
| Arena · overall | Unranked | #34 · ELO 1,468 |
| Arena · Japanese | Unranked | Unranked |
| Arena · coding | Unranked | #22 · ELO 1,521 |
Prices are FastMetal's yen rates before tax. Arena ranks are as of the latest leaderboard scrape.
Which should you pick?
- On price, Gemini 3.7 Flash: ¥670.13 per 1M output tokens, 69% less than GPT-5.6 Terra.
- For long documents, GPT-5.6 Terra: a 1,050,000-token context window against 1,048,576 for Gemini 3.7 Flash.
- If in doubt, try both on the same key. Switching is a change to the model string, and each is billed at its own rate.
Real answers to the same prompts
Exactly what the FastMetal gateway returned, side by side. Not benchmark scores: actual output.
Count the number of 'r's in 'strawberry'
Count the number of 'r's in 'strawberry'. Explain your reasoning step by step.
Gemini 3.7 Flash
There are **3** 'r's in the word "strawberry".
### Step-by-step reasoning:
1. **Break down the word into individual letters:**
* 1st letter: **s**
* 2nd letter: **t**
* 3rd letter: **r** *(1st 'r')*
* 4th letter: **a**
* 5th letter: **w**
* 6th letter: **b**
* 7th letter: **e**
* 8th letter: **r** *(2nd 'r')*
* 9th letter: **r** *(3rd 'r')*
* 10th letter: **y**
2. **Identify the positions of 'r':**
* The 3rd letter is an **r** (in "st**r**aw").
* The 8th letter is an **r** (in "be**r**ry").
* The 9th letter is an **r** (in "ber**r**y").
3. **Total count:** 1 + 1 + 1 = **3**.
4.5s530 output tokens
GPT-5.6 Terra
“strawberry” is spelled:
s t **r** a w b e **r** **r** y
There are **3** occurrences of the letter **r**.
3.6s71 output tokens
Debug This Error
I'm getting the following error in my Node.js application: TypeError: Cannot read properties of undefined (reading 'map') at UserList (/app/components/UserList.js:12:25) at renderWithHooks (/app/node_modules/rea…
Gemini 3.7 Flash
### Why This Error Happens
This error occurs because the `users` prop is `undefined` when the component renders. Since `map` is an Array method, calling `undefined.map()` causes JavaScript to throw a `TypeError`.
This usually happens when:
1. Data is being fetched asynchronously (e.g., via `fetch` or `axios`), and the component renders **before** the data has arrived.
2. The parent component forgot to pass the `users` prop (`<UserList />`).
3. The initial state in the parent component was initialized as `undefined` (e.g., `const [users, setUsers] = useState()`).
---
### How to Fix It
Here are the best ways to fix it, depending on your use case:
#### Solution 1: Default Parameter (Recom…
9.9s1355 output tokens
GPT-5.6 Terra
The error means `users` is `undefined` when `UserList` renders, so React tries to evaluate:
```js
users.map(...)
```
But `.map()` only exists on arrays.
Common causes:
- The parent component does not pass a `users` prop.
- The user data is loaded asynchronously and has not arrived on the first render.
- The API response shape differs from what you expect, e.g. data is in `response.data.users` rather than `response.data`.
- The parent initializes its user state as `undefined` or `null`.
## Fix options
### 1. Initialize users as an empty array
In the parent component:
```jsx
const [users, setUsers] = useState([]);
```
Then pass it normally:
```jsx
<UserList users={users} />
```
An e…
5.8s559 output tokens
Code Review
Please review the following Python function and suggest improvements for readability, performance, and best practices: def get_data(url, retries=3): import requests import time for i in range(retries):…
Gemini 3.7 Flash
Here is a detailed review of your function, followed by refactored versions.
---
### Key Issues & Areas for Improvement
1. **Imports inside the function (PEP 8):**
Imports should be placed at the top of the file, not inside a function, to avoid repeated import overhead and improve readability.
2. **Bare `except:` clause (Anti-pattern):**
Catching everything with `except:` intercepts `KeyboardInterrupt`, `SystemExit`, and memory errors, making debugging difficult. Catch specific exceptions like `requests.RequestException` and `ValueError` (for JSON decoding).
3. **Retrying on non-retryable errors:**
A status code like `404 Not Found` or `401 Unauthorized` will never succeed on a…
13.2s2117 output tokens
GPT-5.6 Terra
Here are the main areas to improve:
### Issues in the original code
- **Imports inside the function**: Move `requests` and `time` imports to module scope.
- **Bare `except:`**: This catches everything, including `KeyboardInterrupt` and programming errors. Catch `requests.RequestException` (and possibly JSON decoding errors) instead.
- **Status code check**: Prefer `response.raise_for_status()` or `response.ok` over manually checking only for `200`. Successful responses can include other 2xx status codes.
- **`== True`**: Use `if item.get("active"):` instead.
- **Potential `KeyError`**: `item["name"]`, `item["id"]`, and `item["active"]` can fail if the API response is incomplete. Use `.get(…
10.6s939 output tokens
Frequently asked questions
- Which is cheaper, Gemini 3.7 Flash or GPT-5.6 Terra?
- Per 1M output tokens, Gemini 3.7 Flash is ¥670.13 and GPT-5.6 Terra is ¥2,144.4 on FastMetal (yen, before tax), so Gemini 3.7 Flash is cheaper.
- How do the context windows of Gemini 3.7 Flash and GPT-5.6 Terra compare?
- Gemini 3.7 Flash takes 1,048,576 tokens; GPT-5.6 Terra takes 1,050,000.
- Can I use Gemini 3.7 Flash and GPT-5.6 Terra with the same API key?
- Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "gemini-3.7-flash" or "gpt-5.6-terra" as the model. Each is billed at its own rate from the same prepaid balance.
Try both on one API key
Create an account and add credit to call Gemini 3.7 Flash and GPT-5.6 Terra from the browser chat and the API. No monthly fee.