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Claude Haiku 5.5 vs Kimi K2.7 Code

Claude Haiku 5.5 leads the LLM Stats Score 49.9 to 38.7. Claude Haiku 5.5 is 6.8x cheaper per token.

Anthropic · Moonshot AI · Updated for 2026

Which is better?

Claude Haiku 5.5 leads the overall LLM Stats Score 49.9 to 38.7, ranking #20 overall.

In the 2 individual benchmarks reported for both models, Claude Haiku 5.5 wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, Claude Haiku 5.5 is roughly 6.8x 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 49.9 and ranks #20 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • cost matters — it's about 6.8x 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 K2.7 Code

  • 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 K2.7 Code
Moonshot AI
Core performance indexes
LLM Stats Score
49.9
#20
38.7
#79
Reasoning
47.5
#25
33.8
#112
Coding
39.2
#15
28.7
#70
Agents
33.8
#33
25.9
#66
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$0.10 / M
$0.68 / M
Output price
$0.50 / M
$3.40 / M
Context window
1,000,000
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Claude Haiku 5.5
Kimi K2.7 Code
Tool use
20.3#66
23.0#50
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

36 reported for Claude Haiku 5.5 · 9 for Kimi K2.7 Code

2 shared

Claude Haiku 5.5 outperforms in 2 benchmarks (FrontierCode 1.1, Program Bench), while Kimi K2.7 Code is better at 0 benchmarks.

Claude Haiku 5.5 significantly outperforms across most benchmarks.

Thu Oct 22 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 6.8x cheaper than Kimi K2.7 Code ($0.68/1M tokens).

For output processing, Claude Haiku 5.5 ($0.50/1M tokens) is 6.8x cheaper than Kimi K2.7 Code ($3.40/1M tokens).

In conclusion, Kimi K2.7 Code is more expensive than Claude Haiku 5.5.*

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

Lowest available price from all providers
Thu Oct 22 2026 • llm-stats.com
Anthropic
Claude Haiku 5.5
Input tokens$0.10
Output tokens$0.50
Best providerAnthropic
Moonshot AI
Kimi K2.7 Code
Input tokens$0.68
Output tokens$3.40
Best providerDeepinfra
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 K2.7 Code's 262,144 tokens. Kimi K2.7 Code can generate longer responses up to 262,144 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 K2.7 Code
Input262,144 tokens
Output262,144 tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Claude Haiku 5.5 and Kimi K2.7 Code support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Claude Haiku 5.5

Text
Images
Audio
Video

Kimi K2.7 Code

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Haiku 5.5 is licensed under a proprietary license, while Kimi K2.7 Code uses Modified MIT License.

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

Claude Haiku 5.5

Proprietary

Closed source

Kimi K2.7 Code

Modified MIT License

Open weights

Release Timeline

When each model was launched

Claude Haiku 5.5 was released on 2026-10-07, while Kimi K2.7 Code was released on 2026-06-12.

Claude Haiku 5.5 is 4 months newer than Kimi K2.7 Code.

Claude Haiku 5.5

Oct 7, 2026

1 weeks ago

3mo newer
Kimi K2.7 Code

Jun 12, 2026

4 months ago

Knowledge Cutoff

When training data ends

Claude Haiku 5.5 has a documented knowledge cutoff of 2026-06-01, while Kimi K2.7 Code'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 K2.7 Code's cutoff date.

Claude Haiku 5.5

Jun 2026

Kimi K2.7 Code

—

Provider Availability

Claude Haiku 5.5 is available from Anthropic. Kimi K2.7 Code is available from DeepInfra, Fireworks, Moonshot AI, Novita, Together.

Claude Haiku 5.5

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

Kimi K2.7 Code

deepinfra logo
Deepinfra
Input Price:Input: $0.68/1MOutput Price:Output: $3.40/1M
fireworks logo
Fireworks
Input Price:Input: $0.95/1MOutput Price:Output: $4.00/1M
moonshot logo
Unknown Organization
Input Price:Input: $0.95/1MOutput Price:Output: $4.00/1M
novita logo
Novita
Input Price:Input: $0.95/1MOutput Price:Output: $4.00/1M
together logo
Together
Input Price:Input: $0.95/1MOutput Price:Output: $4.00/1M
* 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 K2.7 Code side-by-side, then vote on the output you prefer.

Claude Haiku 5.5
✓ Preferred
Kimi K2.7 Code
Open in Playground

FAQ

Common questions about Claude Haiku 5.5 vs Kimi K2.7 Code.

Which is better, Claude Haiku 5.5 or Kimi K2.7 Code?

Claude Haiku 5.5 leads the LLM Stats Score 49.9 to 38.7. Claude Haiku 5.5 is made by Anthropic and Kimi K2.7 Code 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 K2.7 Code 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 K2.7 Code scores MCP-Mark: 81.1%, MCP Atlas: 76.0%, LiveBench: 71.9%, Kimi Code Bench v2: 62.0%, Program Bench: 53.6%.

Is Claude Haiku 5.5 cheaper than Kimi K2.7 Code?

Claude Haiku 5.5 is 6.8x cheaper for input tokens. Claude Haiku 5.5 costs $0.10/M input and $0.50/M output via anthropic. Kimi K2.7 Code costs $0.68/M input and $3.40/M output via deepinfra.

What are the context window sizes for Claude Haiku 5.5 and Kimi K2.7 Code?

Claude Haiku 5.5 supports 1.0M tokens and Kimi K2.7 Code supports 262K 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 K2.7 Code?

Key differences include LLM Stats Score (49.9 vs 38.7), context window (1.0M vs 262K), input pricing ($0.10 vs $0.68/M), licensing (Proprietary vs Modified MIT License). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Haiku 5.5 and Kimi K2.7 Code?

Claude Haiku 5.5 is developed by Anthropic and Kimi K2.7 Code is developed by Moonshot AI.

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