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Claude Haiku 5.5 vs Kimi K2 Instruct

Claude Haiku 5.5 leads the LLM Stats Score 50.0 to 21.8. Claude Haiku 5.5 is 2.5x cheaper per token.

Anthropic · Moonshot AI · Updated for 2026

Which is better?

Claude Haiku 5.5 leads the overall LLM Stats Score 50.0 to 21.8, ranking #19 overall.

In the 1 individual benchmarks reported for both models, Claude Haiku 5.5 wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, Claude Haiku 5.5 is roughly 2.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Claude Haiku 5.5 also accepts a larger context window (1,000,000 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

  • overall performance matters — it scores 50.0 and ranks #19 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • cost matters — it's about 2.5x cheaper per token
  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Oct 2026

Choose Kimi K2 Instruct

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Claude Haiku 5.5
Anthropic
Kimi K2 Instruct
Moonshot AI
Core performance indexes
LLM Stats Score
50.0
#19
21.8
#198
Reasoning
47.2
#27
22.0
#189
Coding
40.2
#13
12.3
#160
Agents
33.3
#28
-1.0
#191
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.10 / M
$0.50 / M
Output price
$0.50 / M
$0.50 / M
Context window
1,000,000
200,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Claude Haiku 5.5
Kimi K2 Instruct
Math
25.7#110
22.2#147
Tool use
20.3#59
6.3#157
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

36 reported for Claude Haiku 5.5 · 38 for Kimi K2 Instruct

1 shared

Claude Haiku 5.5 outperforms in 1 benchmarks (SWE-bench Multilingual), while Kimi K2 Instruct is better at 0 benchmarks.

Claude Haiku 5.5 significantly outperforms across most benchmarks.

Fri Oct 09 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Claude Haiku 5.5 costs less

For input processing, Claude Haiku 5.5 ($0.10/1M tokens) is 5.0x cheaper than Kimi K2 Instruct ($0.50/1M tokens).

For output processing, Claude Haiku 5.5 ($0.50/1M tokens) costs the same as Kimi K2 Instruct ($0.50/1M tokens).

In conclusion, Kimi K2 Instruct is more expensive than Claude Haiku 5.5.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Oct 09 2026 • llm-stats.com
Anthropic
Claude Haiku 5.5
Input tokens$0.10
Output tokens$0.50
Best providerAnthropic
Moonshot AI
Kimi K2 Instruct
Input tokens$0.50
Output tokens$0.50
Best providerFireworks
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Claude Haiku 5.5 accepts 1,000,000 input tokens compared to Kimi K2 Instruct's 200,000 tokens. Kimi K2 Instruct can generate longer responses up to 200,000 tokens, while Claude Haiku 5.5 is limited to 128,000 tokens.

Anthropic
Claude Haiku 5.5
Input1,000,000 tokens
Output128,000 tokens
Moonshot AI
Kimi K2 Instruct
Input200,000 tokens
Output200,000 tokens
Fri Oct 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Claude Haiku 5.5 supports multimodal inputs, whereas Kimi K2 Instruct does not.

Claude Haiku 5.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude Haiku 5.5

Text
Images
Audio
Video

Kimi K2 Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Haiku 5.5 is licensed under a proprietary license, while Kimi K2 Instruct uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Claude Haiku 5.5

Proprietary

Closed source

Kimi K2 Instruct

MIT

Open weights

Release Timeline

When each model was launched

Claude Haiku 5.5 was released on 2026-10-07, while Kimi K2 Instruct was released on 2025-07-11.

Claude Haiku 5.5 is 15 months newer than Kimi K2 Instruct.

Claude Haiku 5.5

Oct 7, 2026

1 days ago

1.2yr newer
Kimi K2 Instruct

Jul 11, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Claude Haiku 5.5 has a documented knowledge cutoff of 2026-06-01, while Kimi K2 Instruct'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 K2 Instruct's cutoff date.

Claude Haiku 5.5

Jun 2026

Kimi K2 Instruct

—

Provider Availability

Claude Haiku 5.5 is available from Anthropic. Kimi K2 Instruct is available from Fireworks, Novita.

Claude Haiku 5.5

anthropic logo
Anthropic
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M

Kimi K2 Instruct

fireworks logo
Fireworks
Input Price:Input: $0.50/1MOutput Price:Output: $0.50/1M
novita logo
Novita
Input Price:Input: $0.57/1MOutput Price:Output: $2.30/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Claude Haiku 5.5 and Kimi K2 Instruct side-by-side, then vote on the output you prefer.

Claude Haiku 5.5
✓ Preferred
Kimi K2 Instruct
Open in Playground

FAQ

Common questions about Claude Haiku 5.5 vs Kimi K2 Instruct.

Which is better, Claude Haiku 5.5 or Kimi K2 Instruct?

Claude Haiku 5.5 leads the LLM Stats Score 50.0 to 21.8. Claude Haiku 5.5 is made by Anthropic and Kimi K2 Instruct is made by Moonshot AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Claude Haiku 5.5 compare to Kimi K2 Instruct in benchmarks?

Claude Haiku 5.5 scores Global-MMLU: 87.8%, MILU: 87.6%, BenchCAD (with Python tool): 87.0%, Chartography: 86.2%, SWE-bench Multilingual: 83.7%. Kimi K2 Instruct scores MATH-500: 97.4%, GSM8k: 97.3%, CBNSL: 95.6%, HumanEval: 93.3%, MMLU-Redux: 92.7%.

Is Claude Haiku 5.5 cheaper than Kimi K2 Instruct?

Claude Haiku 5.5 is 5.0x cheaper for input tokens. Claude Haiku 5.5 costs $0.10/M input and $0.50/M output via anthropic. Kimi K2 Instruct costs $0.50/M input and $0.50/M output via fireworks.

What are the context window sizes for Claude Haiku 5.5 and Kimi K2 Instruct?

Claude Haiku 5.5 supports 1.0M tokens and Kimi K2 Instruct supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Claude Haiku 5.5 and Kimi K2 Instruct?

Key differences include LLM Stats Score (50.0 vs 21.8), context window (1.0M vs 200K), input pricing ($0.10 vs $0.50/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Haiku 5.5 and Kimi K2 Instruct?

Claude Haiku 5.5 is developed by Anthropic and Kimi K2 Instruct is developed by Moonshot AI.

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