Model comparison

Llama 3.3 70B Instruct vs MiMo-V2.5-Pro

Pricing, context window and real answers (September 2026)

Llama 3.3 70B Instruct (Meta) and MiMo-V2.5-Pro (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

meta-llama logoLlama 3.3 70B InstructMiMo-V2.5-Pro
ProviderMetaXiaomi
Input (per 1M tokens)¥17.87¥77.73
Output (per 1M tokens)¥57.18¥155.47
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥46¥155
Context window131,072 tokens1,050,000 tokens
Release date12/6/20244/22/2026
Input modalitiestexttext
Throughput (p50)
Arena · overall#250 · ELO 1,318#44 · ELO 1,467
Arena · Japanese#210 · ELO 1,212#52 · ELO 1,426
Arena · coding#263 · ELO 1,346#25 · 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, Llama 3.3 70B Instruct: ¥57.18 per 1M output tokens, 63% less than MiMo-V2.5-Pro.
  • On the Overall arena board, MiMo-V2.5-Pro ranks higher (#44; Llama 3.3 70B Instruct is #250).
  • On the Japanese arena board, MiMo-V2.5-Pro ranks higher (#52; Llama 3.3 70B Instruct is #210).
  • On the Coding arena board, MiMo-V2.5-Pro ranks higher (#25; Llama 3.3 70B Instruct is #263).
  • For long documents, MiMo-V2.5-Pro: a 1,050,000-token context window against 131,072 for Llama 3.3 70B Instruct.
  • 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.

Llama 3.3 70B Instruct

To count the number of 'r's in 'strawberry', I'll break down the word into its individual letters and then examine each one to identify the 'r's. Here are the steps: 1. **Write down the word 'strawberry' with its individual letters separated**: s-t-r-a-w-b-e-r-r-y 2. **Examine each letter to find the 'r's**: Going through the word letter by letter, I identify the 'r's. - The first 'r' appears after 't', so that's one 'r'. - Continuing through the word, I find another 'r' after 'e', which gives me a second 'r'. - Then, immediately after this second 'r', I find a third 'r'. 3. **Count the total number of 'r's identified**: From the step above, I've identified a total of 3 'r's in th…
12.6s217 output tokens

MiMo-V2.5-Pro

## Counting the r's in "strawberry" Let me go through each letter one by one: | Position | Letter | Is it 'r'? | |----------|--------|------------| | 1 | s | No | | 2 | t | No | | 3 | **r** | ✅ Yes (#1) | | 4 | a | No | | 5 | w | No | | 6 | b | No | | 7 | e | No | | 8 | **r** | ✅ Yes (#2) | | 9 | **r** | ✅ Yes (#3) | | 10 | y | No | **There are 3 r's in "strawberry."** The word breaks down as **straw·ber·ry**, and the r's appear at the end of "staw" and then twice in the double-r of "rry."
8.3s313 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…

Llama 3.3 70B Instruct

# Step-by-step analysis of the problem: 1. **The error is occurring because the `map()` function is being called on `undefined`**: This means that the `users` prop is not being passed to the `UserList` component, or its value is `undefined`. 2. **The `map()` function is a method of arrays**: It is used to iterate over the elements of an array and apply a transformation to each element. If `users` is not an array (i.e., it's `undefined`), this method will not be available, hence the error. 3. **To fix this error, you need to ensure that `users` is always an array**: You can achieve this by adding a conditional statement to check if `users` is an array before calling `map()` on it. # Fixed so…
28.4s560 output tokens

MiMo-V2.5-Pro

# Fixing `Cannot read properties of undefined (reading 'map')` ## The Problem The error means `users` is `undefined` when the component first renders. This typically happens when: 1. **The parent component hasn't passed the `users` prop** 2. **The data is being fetched asynchronously and isn't available yet** 3. **The prop name is misspelled in the parent** For example, the parent might be rendering it like this: ```jsx // ❌ No users prop passed — `users` will be undefined <UserList /> ``` ## Solutions ### 1. Add a Default Prop Value (Simple Fix) ```jsx function UserList({ users = [] }) { return ( <ul> {users.map(user => <li key={user.id}>{user.name}</li>)} </ul> ); }…
14.4s680 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):…

Llama 3.3 70B Instruct

### Review and Suggestions The provided Python function `get_data` appears to be designed to fetch data from a given URL, filter active items, and return the filtered results. Here's a review of the function focusing on readability, performance, and best practices, along with suggestions for improvement. #### Issues and Improvements: 1. **Import Statements**: Import statements should be placed at the top of the file, not inside the function. This adheres to PEP 8, the official Python style guide. 2. **Exception Handling**: The `except` block is too broad. It's better to catch specific exceptions that you anticipate might occur. For example, `requests.get` might raise `requests.RequestExc…
40.3s815 output tokens

MiMo-V2.5-Pro

# Code Review: `get_data` Function ## Issues Identified ``` ┌──────────────────────────────────────────────────────────────┐ │ ISSUE SEVERITY MAP │ ├──────────────────┬────────────┬──────────────────────────────┤ │ Issue │ Severity │ Category │ ├──────────────────┼────────────┼──────────────────────────────┤ │ Bare except │ 🔴 High │ Error Handling / Best Prac. │ │ Silent failures │ 🔴 High │ Debuggability │ │ == True check │ 🟡 Medium │ Readability / PEP 8 │ │ Inline imports │ 🟡 Medium │ Best Practice │ │ No type hints │ 🟡 Medium │ Best Practice…
10.4s1572 output tokens

Compare on more prompts →

Frequently asked questions

Which is cheaper, Llama 3.3 70B Instruct or MiMo-V2.5-Pro?
Per 1M output tokens, Llama 3.3 70B Instruct is ¥57.18 and MiMo-V2.5-Pro is ¥155.47 on FastMetal (yen, before tax), so Llama 3.3 70B Instruct is cheaper.
How do the context windows of Llama 3.3 70B Instruct and MiMo-V2.5-Pro compare?
Llama 3.3 70B Instruct takes 131,072 tokens; MiMo-V2.5-Pro takes 1,050,000.
Which ranks higher, Llama 3.3 70B Instruct or MiMo-V2.5-Pro?
MiMo-V2.5-Pro ranks higher on the public arena (Llama 3.3 70B Instruct #210, MiMo-V2.5-Pro #52). Ranks move as the leaderboard updates.
Can I use Llama 3.3 70B Instruct and MiMo-V2.5-Pro with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "llama-3.3-70b-instruct" or "mimo-v2.5-pro" 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 Llama 3.3 70B Instruct and MiMo-V2.5-Pro from the browser chat and the API. No monthly fee.

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