Claude Haiku 5.5 vs Kimi K3
Claude Haiku 5.5 and Kimi K3 are closely matched at 50.0 and 52.1 on the LLM Stats Score. Claude Haiku 5.5 is 28.5x cheaper per token.
Anthropic · Moonshot AI · Updated for 2026
Which is better?
Claude Haiku 5.5 and Kimi K3 are closely matched on the overall LLM Stats Score at 50.0 and 52.1.
The models split the 2 individual benchmarks reported for both models evenly.
On price, Claude Haiku 5.5 is roughly 28.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Kimi K3 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude Haiku 5.5
- cost matters — it's about 28.5x cheaper per token
- you want the most recent training data — it shipped Oct 2026
Choose Kimi K3
- you process long inputs — it offers a 1,048,576 token context window
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
36 reported for Claude Haiku 5.5 · 31 for Kimi K3
Claude Haiku 5.5 outperforms in 1 benchmarks (Program Bench), while Kimi K3 is better at 1 benchmark (OfficeQA Pro).
Both models are evenly matched across the benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Haiku 5.5 ($0.10/1M tokens) is 28.5x cheaper than Kimi K3 ($2.85/1M tokens).
For output processing, Claude Haiku 5.5 ($0.50/1M tokens) is 28.5x cheaper than Kimi K3 ($14.25/1M tokens).
In conclusion, Kimi K3 is more expensive than Claude Haiku 5.5.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Kimi K3 accepts 1,048,576 input tokens compared to Claude Haiku 5.5's 1,000,000 tokens. Kimi K3 can generate longer responses up to 1,048,576 tokens, while Claude Haiku 5.5 is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Claude Haiku 5.5 and Kimi K3 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude Haiku 5.5
Kimi K3
License
Usage and distribution terms
Claude Haiku 5.5 is licensed under a proprietary license, while Kimi K3 uses Kimi K3 License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Kimi K3 License
Open weights
Release Timeline
When each model was launched
Claude Haiku 5.5 was released on 2026-10-07, while Kimi K3 was released on 2026-07-16.
Claude Haiku 5.5 is 3 months newer than Kimi K3.
Oct 7, 2026
5 days ago
2mo newerJul 16, 2026
2 months ago
Knowledge Cutoff
When training data ends
Claude Haiku 5.5 has a documented knowledge cutoff of 2026-06-01, while Kimi K3's cutoff date is not specified.
We can confirm Claude Haiku 5.5's training data extends to 2026-06-01, but cannot make a direct comparison without Kimi K3's cutoff date.
Jun 2026
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Provider Availability
Claude Haiku 5.5 is available from Anthropic. Kimi K3 is available from DeepInfra, Fireworks, Moonshot AI, Novita, Together.
Claude Haiku 5.5
Kimi K3
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Haiku 5.5 and Kimi K3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Haiku 5.5 vs Kimi K3.