Claude Haiku 4.5 vs Phi-3.5-mini-instruct
Claude Haiku 4.5 significantly outperforms across most benchmarks. Phi-3.5-mini-instruct is 20.0x cheaper per token.
Anthropic · Microsoft · Updated for 2026
Which is better?
Claude Haiku 4.5 outperforms in 2 benchmarks (GPQA, MMMLU), while Phi-3.5-mini-instruct is better at 0 benchmarks. Claude Haiku 4.5 significantly outperforms across most benchmarks.
On price, Phi-3.5-mini-instruct is roughly 20.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude Haiku 4.5 also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose Claude Haiku 4.5
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- you process long inputs — it offers a 200,000 token context window
- you want the most recent training data — it shipped Oct 2025
Choose Phi-3.5-mini-instruct
- cost matters — it's about 20.0x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Claude Haiku 4.5 outperforms in 2 benchmarks (GPQA, MMMLU), while Phi-3.5-mini-instruct is better at 0 benchmarks.
Claude Haiku 4.5 significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Haiku 4.5 ($1.00/1M tokens) is 10.0x more expensive than Phi-3.5-mini-instruct ($0.10/1M tokens).
For output processing, Claude Haiku 4.5 ($5.00/1M tokens) is 50.0x more expensive than Phi-3.5-mini-instruct ($0.10/1M tokens).
In conclusion, Claude Haiku 4.5 is more expensive than Phi-3.5-mini-instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude Haiku 4.5 accepts 200,000 input tokens compared to Phi-3.5-mini-instruct's 128,000 tokens. Phi-3.5-mini-instruct can generate longer responses up to 128,000 tokens, while Claude Haiku 4.5 is limited to 64,000 tokens.
Input Capabilities
Supported data types and modalities
Claude Haiku 4.5 supports multimodal inputs, whereas Phi-3.5-mini-instruct does not.
Claude Haiku 4.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Haiku 4.5
Phi-3.5-mini-instruct
License
Usage and distribution terms
Claude Haiku 4.5 is licensed under a proprietary license, while Phi-3.5-mini-instruct uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Claude Haiku 4.5 was released on 2025-10-15, while Phi-3.5-mini-instruct was released on 2024-08-23.
Claude Haiku 4.5 is 14 months newer than Phi-3.5-mini-instruct.
Oct 15, 2025
10 months ago
1.1yr newerAug 23, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
Claude Haiku 4.5 has a documented knowledge cutoff of 2025-02-01, while Phi-3.5-mini-instruct's cutoff date is not specified.
We can confirm Claude Haiku 4.5's training data extends to 2025-02-01, but cannot make a direct comparison without Phi-3.5-mini-instruct's cutoff date.
Feb 2025
—
Provider Availability
Claude Haiku 4.5 is available from Anthropic, Vertex AI. Phi-3.5-mini-instruct is available from Azure.
Claude Haiku 4.5
Phi-3.5-mini-instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Haiku 4.5 and Phi-3.5-mini-instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Haiku 4.5 vs Phi-3.5-mini-instruct.