Model comparison

GPT-5.6 Sol vs MiMo-V2.5-Pro

Pricing, context window and real answers (October 2026)

GPT-5.6 Sol (OpenAI) 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

openai logoGPT-5.6 SolMiMo-V2.5-Pro
ProviderOpenAIXiaomi
Input (per 1M tokens)$2.20$0.459
Output (per 1M tokens)$11.00$0.9179
Typical cost (1,000 in + 500 out tokens × 1,000 calls)$7.70$0.9179
Context window1,050,000 tokens1,050,000 tokens
Release date7/9/20264/22/2026
Input modalitiesfile, image, texttext
Throughput (p50)215 tokens/s (n=26)96 tokens/s (n=25)
Arena · overall#20 · ELO 1,485#48 · ELO 1,468
Arena · Japanese#12 · ELO 1,495#67 · ELO 1,422
Arena · coding#13 · ELO 1,535#31 · ELO 1,522

Prices are FastMetal's rates, before tax.

Rankings: LMArena leaderboard dataset (lmarena-ai/leaderboard-dataset), CC BY 4.0, snapshot 2026-10-08; category names mapped and ratings rounded by FastMetal.

Which should you pick?

  • On price, MiMo-V2.5-Pro: $0.9179 per 1M output tokens, 92% less than GPT-5.6 Sol.
  • On the Overall arena board, GPT-5.6 Sol ranks higher (#20; MiMo-V2.5-Pro is #48).
  • On the Japanese arena board, GPT-5.6 Sol ranks higher (#12; MiMo-V2.5-Pro is #67).
  • On the Coding arena board, GPT-5.6 Sol ranks higher (#13; MiMo-V2.5-Pro is #31).
  • 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.

GPT-5.6 Sol

“strawberry” can be split into letters: s, t, **r**, a, w, b, e, **r**, **r**, y The letter **r** appears **3 times**.
3.0s78 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…

GPT-5.6 Sol

The error occurs because `users` is `undefined` when `UserList` renders, so JavaScript cannot call `.map()` on it. This often happens when data is loaded asynchronously or the parent does not pass the prop. ### Fix options **1. Give `users` a default value:** ```jsx function UserList({ users = [] }) { return ( <ul> {users.map(user => ( <li key={user.id}>{user.name}</li> ))} </ul> ); } ``` Note that this handles `undefined`, but not an explicitly passed `null`. **2. Handle missing or invalid data explicitly:** ```jsx function UserList({ users }) { if (!Array.isArray(users)) { return <p>No users available.</p>; } return ( <ul> {users.m…
7.1s395 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):…

GPT-5.6 Sol

### Issues and suggested improvements - Move imports to module scope. - Avoid bare `except:`; it catches programming errors and interrupts such as `KeyboardInterrupt`. - Use `response.raise_for_status()` instead of manually checking only for `200`; other 2xx responses may also be valid. - Retry only transient failures, such as timeouts, connection errors, `429`, and selected `5xx` responses. Retrying most `4xx` errors is not useful. - Use exponential backoff rather than a fixed delay. - Avoid sleeping after the final failed attempt. - Replace `item["active"] == True` with `item.get("active") is True`. - Use a list comprehension for the transformation. - Add type hints and validate arguments…
33.1s1646 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, GPT-5.6 Sol or MiMo-V2.5-Pro?
Per 1M output tokens, GPT-5.6 Sol is $11.00 and MiMo-V2.5-Pro is $0.9179 on FastMetal (US dollars, before tax), so MiMo-V2.5-Pro is cheaper.
How do the context windows of GPT-5.6 Sol and MiMo-V2.5-Pro compare?
GPT-5.6 Sol takes 1,050,000 tokens; MiMo-V2.5-Pro takes 1,050,000.
Which ranks higher, GPT-5.6 Sol or MiMo-V2.5-Pro?
GPT-5.6 Sol ranks higher on the public arena (GPT-5.6 Sol #12, MiMo-V2.5-Pro #67). Ranks move as the leaderboard updates.
Can I use GPT-5.6 Sol and MiMo-V2.5-Pro with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "gpt-5.6-sol" 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 GPT-5.6 Sol and MiMo-V2.5-Pro from the browser chat and the API. No monthly fee.

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