Model comparison

Gemini 3.7 Flash vs MiMo-V2.5

Pricing, context window and real answers (August 2026)

Gemini 3.7 Flash (Google) and MiMo-V2.5 (Xiaomi), 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

google logoGemini 3.7 FlashMiMo-V2.5
ProviderGoogleXiaomi
Input (per 1M tokens)¥134.03¥25.02
Output (per 1M tokens)¥670.13¥50.04
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥469¥50
Context window1,048,576 tokens1,050,000 tokens
Release date8/13/20264/22/2026
Input modalitiestext, image, video, file, audiotext, audio, image, video
Arena · overall#9 · ELO 1,490#92 · ELO 1,434
Arena · JapaneseUnranked#137 · ELO 1,322
Arena · coding#24 · ELO 1,521#76 · ELO 1,491

Prices are FastMetal's yen rates before tax. Arena ranks are as of the latest leaderboard scrape.

Which should you pick?

  • On price, MiMo-V2.5: ¥50.04 per 1M output tokens, 93% less than Gemini 3.7 Flash.
  • On the Overall arena board, Gemini 3.7 Flash ranks higher (#9; MiMo-V2.5 is #92).
  • On the Coding arena board, Gemini 3.7 Flash ranks higher (#24; MiMo-V2.5 is #76).
  • For long documents, MiMo-V2.5: 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

MiMo-V2.5

# Counting the 'r's in 'strawberry' Let me spell the word out letter by letter: | Position | Letter | Is it 'r'? | |----------|--------|------------| | 1 | **s** | ❌ | | 2 | **t** | ❌ | | 3 | **r** | ✅ (1) | | 4 | **a** | ❌ | | 5 | **w** | ❌ | | 6 | **b** | ❌ | | 7 | **e** | ❌ | | 8 | **r** | ✅ (2) | | 9 | **r** | ✅ (3) | | 10 | **y** | ❌ | ## Answer: **3** 'r's The three r's are found at positions **3**, **8**, and **9** in the word.
14.9s313 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

MiMo-V2.5

This error occurs because your `users` prop is `undefined` when the component tries to call `.map()` on it. This usually happens when: 1. The parent component doesn't pass a `users` prop 2. The `users` data is still loading (asynchronous operation) 3. There's a typo in the prop name when passing from parent ## How to Fix It ### 1. Add Default Props or Prop Validation Add a default value for the `users` prop: ```jsx function UserList({ users = [] }) { return ( <ul> {users.map(user => <li key={user.id}>{user.name}</li>)} </ul> ); } // Or with PropTypes import PropTypes from 'prop-types'; function UserList({ users }) { return ( <ul> {users.map(user => <li key…
11.2s808 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

MiMo-V2.5

# Code Review: `get_data` Function ## Issues Identified | Category | Issue | Severity | |----------|-------|----------| | Style | Imports inside function body | Medium | | Reliability | Bare `except` catches `KeyboardInterrupt`/`SystemExit` | High | | Reliability | Silent failures — no logging | Medium | | Readability | `== True` comparison (redundant) | Low | | Readability | No docstring or type hints | Medium | | Performance | Could use list comprehension | Low | | Robustness | No exponential backoff on retries | Medium | | Robustness | `r.json()` can fail silently under bare except | High | | Style | Uninformative variable names (`r`, `i`) | Low | | Config | Magic numbers hardcoded (`ti…
33.6s1854 output tokens

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Frequently asked questions

Which is cheaper, Gemini 3.7 Flash or MiMo-V2.5?
Per 1M output tokens, Gemini 3.7 Flash is ¥670.13 and MiMo-V2.5 is ¥50.04 on FastMetal (yen, before tax), so MiMo-V2.5 is cheaper.
How do the context windows of Gemini 3.7 Flash and MiMo-V2.5 compare?
Gemini 3.7 Flash takes 1,048,576 tokens; MiMo-V2.5 takes 1,050,000.
Which ranks higher, Gemini 3.7 Flash or MiMo-V2.5?
Gemini 3.7 Flash ranks higher on the public arena (Gemini 3.7 Flash #9, MiMo-V2.5 #137). Ranks move as the leaderboard updates.
Can I use Gemini 3.7 Flash and MiMo-V2.5 with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "gemini-3.7-flash" or "mimo-v2.5" 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 MiMo-V2.5 from the browser chat and the API. No monthly fee.

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