Model comparison

Claude Fable 5.1 vs Kimi K2.6

Pricing, context window and real answers (September 2026)

Claude Fable 5.1 (Anthropic) and Kimi K2.6 (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 Fable 5.1moonshotai logoKimi K2.6
ProviderAnthropicMoonshot
Input (per 1M tokens)¥1,787¥169.77
Output (per 1M tokens)¥8,935¥714.8
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥6,255¥527
Context window1,000,000 tokens262,144 tokens
Release date9/1/20264/20/2026
Input modalitiestext, image, filetext, image
Arena · overall#3 · ELO 1,504#50 · ELO 1,461
Arena · JapaneseUnranked#37 · ELO 1,444
Arena · coding#34 · ELO 1,517#36 · ELO 1,514

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

Which should you pick?

  • On price, Kimi K2.6: ¥714.8 per 1M output tokens, 92% less than Claude Fable 5.1.
  • On the Overall arena board, Claude Fable 5.1 ranks higher (#3; Kimi K2.6 is #50).
  • On the Coding arena board, Claude Fable 5.1 ranks higher (#34; Kimi K2.6 is #36).
  • For long documents, Claude Fable 5.1: a 1,000,000-token context window against 262,144 for Kimi K2.6.
  • 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 Fable 5.1

**Step 1: Write out the word letter by letter.** s - t - r - a - w - b - e - r - r - y **Step 2: Number each position.** 1. s 2. t 3. **r** 4. a 5. w 6. b 7. e 8. **r** 9. **r** 10. y **Step 3: Identify which positions contain 'r'.** - Position 3: r (in "str-") - Position 8: r (in "-ber-") - Position 9: r (in "-rry") **Step 4: Count them.** 3 + 1 + 1 = **3** **Answer: There are 3 'r's in "strawberry."** A helpful way to check: split the word into its parts — "straw" (1 r) + "berry" (2 r's) = 3 r's total.
7.9s259 output tokens

Kimi K2.6

Here is the step-by-step count: **Step 1:** Write out the word and number each letter. 1. s 2. t 3. **r** ← 1st 'r' 4. a 5. w 6. b 7. e 8. **r** ← 2nd 'r' 9. **r** ← 3rd 'r' 10. y **Step 2:** Identify the positions containing the letter 'r'. - The 3rd letter is **r** - The 8th letter is **r** - The 9th letter is **r** **Step 3:** Tally the total. There are **3** letter 'r's in "strawberry".
4.5s352 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 Fable 5.1

The error means that when `UserList` rendered, the `users` prop was `undefined`, so calling `.map()` on it failed. This typically happens because: 1. **The parent isn't passing the prop** (or misspelled it, e.g. `<UserList user={...} />`), or 2. **The data hasn't loaded yet.** A common pattern is fetching users in a `useEffect` and storing them in state whose initial value is `undefined` (e.g. `useState()`), so the first render happens before the data arrives. **Fixes** Give the prop a default value so the component is safe to render with no data: ```jsx function UserList({ users = [] }) { return ( <ul> {users.map(user => <li key={user.id}>{user.name}</li>)} </ul> ); }…
10.8s564 output tokens

Kimi K2.6

The error occurs because `users` is `undefined` when your component renders. The `.map()` method only works on arrays, so calling it on `undefined` throws this error. This usually happens when: - The parent component hasn't finished fetching data yet - The `users` prop isn't being passed at all - The prop is misspelled in the parent component ## Quick Fix Set a **default value** for the `users` prop: ```jsx function UserList({ users = [] }) { return ( <ul> {users.map(user => <li key={user.id}>{user.name}</li>)} </ul> ); } ``` ## Alternative Fixes **Optional chaining** (renders nothing if undefined): ```jsx {users?.map(user => <li key={user.id}>{user.name}</li>)} ```…
71.8s864 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 Fable 5.1

Here's a review of the function organized by category, followed by a refactored version. ## Issues ### Correctness / robustness 1. **Bare `except:`** — This catches *everything*, including `KeyboardInterrupt`, `SystemExit`, and bugs like `KeyError` from `item["active"]`. A malformed response would be silently retried three times and then swallowed. Catch `requests.RequestException` (and `ValueError` for bad JSON) specifically. 2. **Retrying non-retryable errors** — A 404 or 400 will never succeed on retry. Only retry on transient failures (timeouts, connection errors, 5xx, 429). 3. **Silent failure** — Returning `[]` after exhausting retries is indistinguishable from "the endpoint legitima…
27.7s2028 output tokens

Kimi K2.6

Here is a refactored version followed by a breakdown of the improvements. ### Refactored Function ```python import logging import time from typing import Any import requests logger = logging.getLogger(__name__) def fetch_active_items( url: str, *, retries: int = 3, timeout: float = 10.0, backoff: float = 2.0, ) -> list[dict[str, Any]]: """Fetch active items from an API endpoint with retry logic. Args: url: The API endpoint URL. retries: Number of retry attempts for transient failures. timeout: HTTP request timeout in seconds. backoff: Base delay in seconds between retries (linear backoff). Returns: A list of activ…
17.9s4061 output tokens

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Frequently asked questions

Which is cheaper, Claude Fable 5.1 or Kimi K2.6?
Per 1M output tokens, Claude Fable 5.1 is ¥8,935 and Kimi K2.6 is ¥714.8 on FastMetal (yen, before tax), so Kimi K2.6 is cheaper.
How do the context windows of Claude Fable 5.1 and Kimi K2.6 compare?
Claude Fable 5.1 takes 1,000,000 tokens; Kimi K2.6 takes 262,144.
Which ranks higher, Claude Fable 5.1 or Kimi K2.6?
Claude Fable 5.1 ranks higher on the public arena (Claude Fable 5.1 #3, Kimi K2.6 #37). Ranks move as the leaderboard updates.
Can I use Claude Fable 5.1 and Kimi K2.6 with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "anthropic-claude-fable-5-1" or "kimi-k2.6" 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 Fable 5.1 and Kimi K2.6 from the browser chat and the API. No monthly fee.

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