Model comparison

Claude Haiku 5.5 vs Kimi K3

Pricing, context window and real answers (October 2026)

Claude Haiku 5.5 (Anthropic) and Kimi K3 (Moonshot), 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 5.5moonshotai logoKimi K3
ProviderAnthropicMoonshot
Input (per 1M tokens)$0.1055$3.17
Output (per 1M tokens)$0.5275$15.83
Typical cost (1,000 in + 500 out tokens × 1,000 calls)$0.3693$11.08
Context window1,000,000 tokens1,048,576 tokens
Release date10/7/20267/16/2026
Input modalitiestext, image, filetext, image
Throughput (p50)——
Arena · overallUnranked#16 · ELO 1,488
Arena · JapaneseUnranked#8 · ELO 1,502
Arena · codingUnranked#9 · ELO 1,541

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, Claude Haiku 5.5: $0.5275 per 1M output tokens, 97% less than Kimi K3.
  • For long documents, Kimi K3: 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

Kimi K3

# Counting the 'r's in "strawberry" **Step 1: Write out each letter with its position** | Position | Letter | |----------|--------| | 1 | s | | 2 | t | | 3 | **r** ✓ | | 4 | a | | 5 | w | | 6 | b | | 7 | e | | 8 | **r** ✓ | | 9 | **r** ✓ | | 10 | y | **Step 2: Identify each 'r'** - Position 3: the 'r' in "st**r**" - Position 8: the first 'r' in "be**r**ry" - Position 9: the second 'r' in "ber**r**y" **Step 3: Verify by splitting the word** "Strawberry" = "straw" + "berry" - "straw" contains **1** r - "berry" contains **2** r's **Answer: There are 3 r's in "strawberry."** 🍓
12.2s594 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

Kimi K3

## What's causing it The error means `users` is `undefined` when the component renders — `.map()` only exists on arrays, so calling it on `undefined` throws. Your component code is fine; the problem is **upstream**: whatever renders `<UserList />` isn't passing a valid array. The most common culprit is **async data fetching with uninitialized state** in the parent: ```jsx function App() { const [users, setUsers] = useState(); // ← undefined! useEffect(() => { fetch('/api/users') .then(res => res.json()) .then(setUsers); }, []); return <UserList users={users} />; // undefined on first render } ``` The component renders *before* the fetch resolves, so `users` is `…
47.5s1756 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

Kimi K3

This works, but there are several issues worth addressing. Here's a breakdown, followed by an improved version. ## Issues ### Correctness & best practices 1. **Bare `except:`** — catches *everything*, including `KeyboardInterrupt` and programming bugs like `KeyError` on a malformed item (which then get pointlessly retried). Catch `requests.RequestException` specifically. 2. **Silent failures** — errors are swallowed with no logging, and returning `[]` makes "API is down" indistinguishable from "no active items." At minimum, log; ideally, raise after the final attempt. 3. **Retrying non-retryable errors** — a 400/401/404 will never succeed on retry, but the code sleeps and retries anyway. O…
57.6s8060 output tokens

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Frequently asked questions

Which is cheaper, Claude Haiku 5.5 or Kimi K3?
Per 1M output tokens, Claude Haiku 5.5 is $0.5275 and Kimi K3 is $15.83 on FastMetal (US dollars, before tax), so Claude Haiku 5.5 is cheaper.
How do the context windows of Claude Haiku 5.5 and Kimi K3 compare?
Claude Haiku 5.5 takes 1,000,000 tokens; Kimi K3 takes 1,048,576.
Can I use Claude Haiku 5.5 and Kimi K3 with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "anthropic-claude-haiku-5-5" or "kimi-k3" 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 Kimi K3 from the browser chat and the API. No monthly fee.

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