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Claude 3.5 Haiku vs Phi-3.5-MoE-instruct

Claude 3.5 Haiku and Phi-3.5-MoE-instruct are closely matched at 5.4 and 2.0 on the LLM Stats Score.

Anthropic · Microsoft · Updated for 2026

Which is better?

Claude 3.5 Haiku and Phi-3.5-MoE-instruct are closely matched on the overall LLM Stats Score at 5.4 and 2.0.

In the 5 individual benchmarks reported for both models, Claude 3.5 Haiku wins 5; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Claude 3.5 Haiku

  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 5 of 5 exact shared results
  • you want the most recent training data — it shipped Oct 2024

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 3.5 Haiku
Anthropic
Phi-3.5-MoE-instruct
Microsoft
Core performance indexes
LLM Stats Score
5.4
#282
2.0
#301
Reasoning
5.6
#279
1.5
#295
Coding
4.4
#198
-3.8
#240
Cost, coverage & limits
Benchmark wins
5 of 5
0 of 5
Input price
$0.80 / M
— / M
Output price
$4.00 / M
— / M
Context window
200,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Claude 3.5 Haiku
Phi-3.5-MoE-instruct
Math
10.8#240
4.7#272
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Claude 3.5 Haiku · 31 for Phi-3.5-MoE-instruct

5 shared

Claude 3.5 Haiku outperforms in 5 benchmarks (GPQA, HumanEval, MATH, MGSM, MMLU-Pro), while Phi-3.5-MoE-instruct is better at 0 benchmarks.

Claude 3.5 Haiku significantly outperforms across most benchmarks.

Mon Aug 31 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Claude 3.5 Haiku specifies input context (200,000 tokens). Only Claude 3.5 Haiku specifies output context (200,000 tokens).

Anthropic
Claude 3.5 Haiku
Input200,000 tokens
Output200,000 tokens
Microsoft
Phi-3.5-MoE-instruct
Input- tokens
Output- tokens
Mon Aug 31 2026 • llm-stats.com

License

Usage and distribution terms

Claude 3.5 Haiku 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 3.5 Haiku

Proprietary

Closed source

Phi-3.5-MoE-instruct

MIT

Open weights

Release Timeline

When each model was launched

Claude 3.5 Haiku was released on 2024-10-22, while Phi-3.5-MoE-instruct was released on 2024-08-23.

Claude 3.5 Haiku is 2 months newer than Phi-3.5-MoE-instruct.

Claude 3.5 Haiku

Oct 22, 2024

1.9 years ago

2mo newer
Phi-3.5-MoE-instruct

Aug 23, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

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

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

FAQ

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

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

Claude 3.5 Haiku and Phi-3.5-MoE-instruct are closely matched on the LLM Stats Score at 5.4 and 2.0. Claude 3.5 Haiku 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 3.5 Haiku compare to Phi-3.5-MoE-instruct in benchmarks?

Claude 3.5 Haiku scores HumanEval: 88.1%, MGSM: 85.6%, DROP: 83.1%, MATH: 69.4%, MMLU-Pro: 65.0%. 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 3.5 Haiku and Phi-3.5-MoE-instruct?

Claude 3.5 Haiku supports 200K 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 3.5 Haiku and Phi-3.5-MoE-instruct?

Key differences include LLM Stats Score (5.4 vs 2.0), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude 3.5 Haiku and Phi-3.5-MoE-instruct?

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

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