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Claude Haiku 5.5 vs Phi-3.5-MoE-instruct

Claude Haiku 5.5 leads the LLM Stats Score 50.0 to 1.9.

Anthropic · Microsoft · Updated for 2026

Which is better?

Claude Haiku 5.5 leads the overall LLM Stats Score 50.0 to 1.9, ranking #19 overall.

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 want the most recent training data — it shipped Oct 2026

Choose Phi-3.5-MoE-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
Phi-3.5-MoE-instruct
Microsoft
Core performance indexes
LLM Stats Score
50.0
#19
1.9
#334
Reasoning
47.2
#27
1.4
#327
Coding
40.2
#13
-3.9
#269
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
— / M
Output price
$0.50 / M
— / M
Context window
1,000,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Claude Haiku 5.5
Phi-3.5-MoE-instruct
Math
25.7#110
4.3#290
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

36 reported for Claude Haiku 5.5 · 31 for Phi-3.5-MoE-instruct

No common benchmarks found

Claude Haiku 5.5 and Phi-3.5-MoE-instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Claude Haiku 5.5 specifies input context (1,000,000 tokens). Only Claude Haiku 5.5 specifies output context (128,000 tokens).

Anthropic
Claude Haiku 5.5
Input1,000,000 tokens
Output128,000 tokens
Microsoft
Phi-3.5-MoE-instruct
Input- tokens
Output- tokens
Fri Oct 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Claude Haiku 5.5 supports multimodal inputs, whereas Phi-3.5-MoE-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

Phi-3.5-MoE-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Haiku 5.5 is licensed under a proprietary license, while Phi-3.5-MoE-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

Phi-3.5-MoE-instruct

MIT

Open weights

Release Timeline

When each model was launched

Claude Haiku 5.5 was released on 2026-10-07, while Phi-3.5-MoE-instruct was released on 2024-08-23.

Claude Haiku 5.5 is 26 months newer than Phi-3.5-MoE-instruct.

Claude Haiku 5.5

Oct 7, 2026

2 days ago

2.1yr newer
Phi-3.5-MoE-instruct

Aug 23, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

Claude Haiku 5.5 has a documented knowledge cutoff of 2026-06-01, while Phi-3.5-MoE-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 Phi-3.5-MoE-instruct's cutoff date.

Claude Haiku 5.5

Jun 2026

Phi-3.5-MoE-instruct

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Claude Haiku 5.5 and Phi-3.5-MoE-instruct side-by-side, then vote on the output you prefer.

Claude Haiku 5.5
✓ Preferred
Phi-3.5-MoE-instruct
Open in Playground

FAQ

Common questions about Claude Haiku 5.5 vs Phi-3.5-MoE-instruct.

Which is better, Claude Haiku 5.5 or Phi-3.5-MoE-instruct?

Claude Haiku 5.5 leads the LLM Stats Score 50.0 to 1.9. Claude Haiku 5.5 is made by Anthropic and Phi-3.5-MoE-instruct is made by Microsoft. 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 Phi-3.5-MoE-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%. Phi-3.5-MoE-instruct scores ARC-C: 91.0%, OpenBookQA: 89.6%, GSM8k: 88.7%, PIQA: 88.6%, RULER: 87.1%.

What are the context window sizes for Claude Haiku 5.5 and Phi-3.5-MoE-instruct?

Claude Haiku 5.5 supports 1.0M tokens and Phi-3.5-MoE-instruct supports an unknown number of 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 Phi-3.5-MoE-instruct?

Key differences include LLM Stats Score (50.0 vs 1.9), 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 Phi-3.5-MoE-instruct?

Claude Haiku 5.5 is developed by Anthropic and Phi-3.5-MoE-instruct is developed by Microsoft.

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