Claude 3.5 Haiku vs Phi-4-multimodal-instruct Comparison

Comparing Claude 3.5 Haiku and Phi-4-multimodal-instruct across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Claude 3.5 Haiku and Phi-4-multimodal-instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Phi-4-multimodal-instruct costs less

For input processing, Claude 3.5 Haiku ($0.80/1M tokens) is 16.0x more expensive than Phi-4-multimodal-instruct ($0.05/1M tokens).

For output processing, Claude 3.5 Haiku ($4.00/1M tokens) is 40.0x more expensive than Phi-4-multimodal-instruct ($0.10/1M tokens).

In conclusion, Claude 3.5 Haiku is more expensive than Phi-4-multimodal-instruct.*

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

Lowest available price from all providers

Mon Mar 23 2026 • llm-stats.com

Claude 3.5 Haiku

Input tokens$0.80

Output tokens$4.00

Best providerAWS Bedrock

Phi-4-multimodal-instruct

Input tokens$0.05

Output tokens$0.10

Best providerDeepinfra

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Context Window

Maximum input and output token capacity

Claude 3.5 Haiku accepts 200,000 input tokens compared to Phi-4-multimodal-instruct's 128,000 tokens. Claude 3.5 Haiku can generate longer responses up to 200,000 tokens, while Phi-4-multimodal-instruct is limited to 128,000 tokens.

Claude 3.5 Haiku

Input200,000 tokens

Output200,000 tokens

Phi-4-multimodal-instruct

Input128,000 tokens

Output128,000 tokens

Mon Mar 23 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Phi-4-multimodal-instruct supports multimodal inputs, whereas Claude 3.5 Haiku does not.

Phi-4-multimodal-instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude 3.5 Haiku

Text

Images

Audio

Video

Phi-4-multimodal-instruct

Text

Images

Audio

Video

License

Usage and distribution terms

Claude 3.5 Haiku is licensed under a proprietary license, while Phi-4-multimodal-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-4-multimodal-instruct

MIT

Open weights

Release Timeline

When each model was launched

Claude 3.5 Haiku was released on 2024-10-22, while Phi-4-multimodal-instruct was released on 2025-02-01.

Phi-4-multimodal-instruct is 3 months newer than Claude 3.5 Haiku.

Claude 3.5 Haiku

Oct 22, 2024

1.4 years ago

Phi-4-multimodal-instruct

Feb 1, 2025

1.1 years ago

3mo newer

Knowledge Cutoff

When training data ends

Phi-4-multimodal-instruct has a documented knowledge cutoff of 2024-06-01, while Claude 3.5 Haiku's cutoff date is not specified.

We can confirm Phi-4-multimodal-instruct's training data extends to 2024-06-01, but cannot make a direct comparison without Claude 3.5 Haiku's cutoff date.

Claude 3.5 Haiku

—

Phi-4-multimodal-instruct

Jun 2024

Provider Availability

Claude 3.5 Haiku is available from Bedrock, Google, Anthropic. Phi-4-multimodal-instruct is available from DeepInfra. The availability of providers can affect quality of the model and reliability.