Model comparison

Claude Haiku 5.5 vs MiMo-V2.6-Flash

Pricing, context window and real answers (October 2026)

Claude Haiku 5.5 (Anthropic) and MiMo-V2.6-Flash (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

anthropic logoClaude Haiku 5.5MiMo-V2.6-Flash
ProviderAnthropicXiaomi
Input (per 1M tokens)$0.1055$0.1477
Output (per 1M tokens)$0.5275$0.2954
Typical cost (1,000 in + 500 out tokens × 1,000 calls)$0.3693$0.2954
Context window1,000,000 tokens1,048,576 tokens
Release date10/7/20269/21/2026
Input modalitiestext, image, filetext, image, video, audio
Throughput (p50)—131 tokens/s (n=15)
Arena · overallUnranked#77 · ELO 1,452
Arena · JapaneseUnrankedUnranked
Arena · codingUnranked#33 · ELO 1,521

Prices are FastMetal's rates, before tax.

Rankings: LMArena leaderboard dataset (lmarena-ai/leaderboard-dataset), CC BY 4.0, snapshot 2026-10-02; category names mapped and ratings rounded by FastMetal.

Which should you pick?

  • On price, MiMo-V2.6-Flash: $0.2954 per 1M output tokens, 44% less than Claude Haiku 5.5.
  • For long documents, MiMo-V2.6-Flash: a 1,048,576-token context window against 1,000,000 for Claude Haiku 5.5.
  • 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.

Claude Haiku 5.5

There are **3** r's in "strawberry." 1. **Spell out the word:** s, t, r, a, w, b, e, r, r, y 2. **Go through each letter and count the r's:** - Position 3: **r** (count = 1) - Position 8: **r** (count = 2) - Position 9: **r** (count = 3) 3. **Check the rest:** s, t, a, w, b, e, and y are not r's. Total: **3**
2.4s200 output tokens

MiMo-V2.6-Flash

## Counting the 'r's in 'strawberry' **Step 1: Write out each letter of the word individually:** `s - t - r - a - w - b - e - r - r - y` **Step 2: Go through each letter one by one and check if it's an 'r':** | Position | Letter | Is it 'r'? | Running Count | |----------|--------|------------|---------------| | 1 | s | ❌ | 0 | | 2 | t | ❌ | 0 | | 3 | **r** | ✅ | **1** | | 4 | a | ❌ | 1 | | 5 | w | ❌ | 1 | | 6 | b | ❌ | 1 | | 7 | e | ❌ | 1 | | 8 | **r** | ✅ | **2** | | 9 | **r** | ✅ | **3** | | 10 | y | ❌ | 3 | **Answer: There are 3 'r's in 'strawberry'.** 🍓 The first 'r' appears at position 3 (after "st"), and the remaining two are the double 'rr' near the end of the word.
6.5s379 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…

Claude Haiku 5.5

The error means `users` is `undefined` when `UserList` renders, so `.map` is called on nothing. The component destructures the `users` prop, but the parent didn't pass it, or passed `undefined`. ## Common causes **1. The parent doesn't pass the prop, or uses a different name** ```jsx <UserList /> // users is undefined <UserList user={users} /> // wrong name: "user" instead of "users" ``` **2. The data hasn't loaded yet (most common with fetched data)** ```jsx function App() { const [users, setUsers] = useState(); // undefined initially useEffect(() => { fetch('/api/users').then(r => r.json()).then(setUsers); }, []); return <UserList users={users} />;…
5.1s888 output tokens

MiMo-V2.6-Flash

## Cause of the Error The error occurs because the `users` prop is `undefined` when the component first renders. When you try to call `.map()` on `undefined`, it throws: ``` TypeError: Cannot read properties of undefined (reading 'map') ``` This typically happens when: 1. The **parent component** hasn't passed `users` yet (e.g., data is still loading from an API) 2. The prop name **doesn't match** between parent and child 3. The prop is **intentionally optional** but used unconditionally ## Fixes ### 1. Default parameter value (simplest fix) Set a default value for `users` so it's always an array: ```js function UserList({ users = [] }) { return ( <ul> {users.map(user =>…
7.6s547 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):…

Claude Haiku 5.5

## Issues **Correctness and robustness** 1. **Bare `except:`** catches everything, including `KeyboardInterrupt` and `SystemExit`, so Ctrl+C may not stop the program. Catch specific exceptions: `requests.RequestException` for network problems and `ValueError` for invalid JSON. 2. **Retries non-retryable errors.** A 404 or 401 won't succeed on retry, so retrying wastes time. Only retry transient failures such as 429, 5xx, timeouts, and connection errors. 3. **Sleeps after the final attempt.** The loop sleeps even when no retry follows. 4. **Fixed sleep with no backoff.** Exponential backoff is the standard approach for retries. 5. **Silent failure.** Every failure returns `[]` with no loggin…
18.1s4096 output tokens

MiMo-V2.6-Flash

# Code Review: `get_data` ## Issues Identified | Category | Issue | |----------|-------| | **Readability** | Imports inside function, vague names (`i`, `r`), no docstring/type hints | | **Performance** | Manual loop instead of list comprehension, no `requests.Session` (no connection reuse) | | **Best Practices** | Bare `except`, `== True`, silent failures, no backoff, no error propagation | --- ## Improved Version ```python import time import logging import requests from typing import Optional logger = logging.getLogger(__name__) def get_data( url: str, retries: int = 3, timeout: float = 10, backoff_factor: float = 2.0, ) -> Optional[list[dict]]: """ Fetch dat…
18.9s1208 output tokens

Compare on more prompts →

Frequently asked questions

Which is cheaper, Claude Haiku 5.5 or MiMo-V2.6-Flash?
Per 1M output tokens, Claude Haiku 5.5 is $0.5275 and MiMo-V2.6-Flash is $0.2954 on FastMetal (US dollars, before tax), so MiMo-V2.6-Flash is cheaper.
How do the context windows of Claude Haiku 5.5 and MiMo-V2.6-Flash compare?
Claude Haiku 5.5 takes 1,000,000 tokens; MiMo-V2.6-Flash takes 1,048,576.
Can I use Claude Haiku 5.5 and MiMo-V2.6-Flash with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "anthropic-claude-haiku-5-5" or "mimo-v2.6-flash" 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 Claude Haiku 5.5 and MiMo-V2.6-Flash from the browser chat and the API. No monthly fee.

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