Models

Claude Fable 5.1 vs Kimi K3

Compare Claude Fable 5.1 from Anthropic and Kimi K3 from Moonshot AI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.

AnthropicClaude Fable 5.1Moonshot AIKimi K3
Anthropic logo
Claude Fable 5.1
Anthropic · text, image → text

Claude-fable-5-1 is Anthropic's most capable newly released model, suitable for the most demanding reasoning and long-running agent work. Claude Fable 5.1, while keeping input and output prices the same as Claude Fable 5, reduces cache read prices to one quarter of the original and is more capable for long-running agent programming, multi-step research, and document, spreadsheet, and slide processing. (The model is extremely expensive and not recommended for casual use.)

Input$11 /M
Output$55 /M
Cache read$0.275 /M
10% off
Moonshot AI logo
Kimi K3
Moonshot AI · text, image, video → text

Kimi K3 is Kimi’s flagship model for long-horizon coding and end-to-end knowledge work, with a 1M-token context window and industry-leading intelligence.

Input$3$2.7 /M
Output$15$13.5 /M
Cache read$0.3$0.27 /M

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

Claude Fable 5.1
Kimi K3
Input /M
$11
$3$2.710%
Output /M
$55
$15$13.510%
Cache read /M
$0.275
$0.3$0.2710%
Context length
1,000,000
1,048,576
Max output
128,000
1,048,576
Time to First Token
5.7 s
0.9 s
Throughput
47.6 tok/s
73.1 tok/s
Modalities
textimage
textimagevideo
Supported Parameters
thinkingtoolsfunction callingstructured outputs
thinkingfunction callingstructured outputs
API Formats
chat_completions · claude_api
Released
September 2, 2026
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Promotional prices show the discounted rate; see each model page for promotion windows.

Activity Past 30 Days

Daily traffic served through AIHubMix — how demand for each model is trending.

claude-fable-5-1kimi-k3

Tokens / day

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Requests / day

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Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

claude-fable-5-1kimi-k3

Throughput (tok/s)

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TTFT (s)

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Uptime (%)

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LMArena Benchmarks

LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.

Text
claude-fable-5-1kimi-k3
1440148015201560
Overall
14861504
Coding
15171531
Hard prompts
15051522
Instruction following
14791489
Multi-turn
14801499
Creative writing
14701487
Longer query
15021515
Chinese
15271527
English
14911509

Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.

Cost calculator

Estimate your monthly bill for the same workload on each model.

Kimi K3
$405$365 /mo
Claude Fable 5.1
$1,485 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

Which is cheaper: Claude Fable 5.1, Kimi K3?

Kimi K3: $13.5/M output tokens; Claude Fable 5.1: $55/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

Kimi K3: 1531; Claude Fable 5.1: 1517 (LMArena coding leaderboard).

Which responds faster?

Kimi K3: 0.9s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.

How large is each context window?

Claude Fable 5.1 accepts 1,000,000 and Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 128,000 tokens on Claude Fable 5.1 and 1,048,576 tokens on Kimi K3.

Which one generates tokens faster?

Kimi K3 at 73.1 tok/s and Claude Fable 5.1 at 47.6 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

Claude Fable 5.1 accepts text and image input and supports thinking, tool calling, function calling and structured outputs; Kimi K3 accepts text, image and video input and supports thinking, function calling and structured outputs.

Can I call Claude Fable 5.1 and Kimi K3 with the same API key?

Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.

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