Model Comparison

Claude 3 Haiku vs Phi-4-multimodal-instruct

Comparing Claude 3 Haiku and Phi-4-multimodal-instruct across benchmarks, pricing, and capabilities.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Claude 3 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 Haiku ($0.25/1M tokens) is 5.0x more expensive than Phi-4-multimodal-instruct ($0.05/1M tokens).

For output processing, Claude 3 Haiku ($1.25/1M tokens) is 12.5x more expensive than Phi-4-multimodal-instruct ($0.10/1M tokens).

In conclusion, Claude 3 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
Thu Apr 02 2026 • llm-stats.com
Anthropic
Claude 3 Haiku
Input tokens$0.25
Output tokens$1.25
Best providerAnthropic
Microsoft
Phi-4-multimodal-instruct
Input tokens$0.05
Output tokens$0.10
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Claude 3 Haiku accepts 200,000 input tokens compared to Phi-4-multimodal-instruct's 128,000 tokens. Claude 3 Haiku can generate longer responses up to 200,000 tokens, while Phi-4-multimodal-instruct is limited to 128,000 tokens.

Anthropic
Claude 3 Haiku
Input200,000 tokens
Output200,000 tokens
Microsoft
Phi-4-multimodal-instruct
Input128,000 tokens
Output128,000 tokens
Thu Apr 02 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Claude 3 Haiku and Phi-4-multimodal-instruct support multimodal inputs.

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

Claude 3 Haiku

Text
Images
Audio
Video

Phi-4-multimodal-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Claude 3 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 Haiku

Proprietary

Closed source

Phi-4-multimodal-instruct

MIT

Open weights

Release Timeline

When each model was launched

Claude 3 Haiku was released on 2024-03-13, while Phi-4-multimodal-instruct was released on 2025-02-01.

Phi-4-multimodal-instruct is 11 months newer than Claude 3 Haiku.

Claude 3 Haiku

Mar 13, 2024

2.1 years ago

Phi-4-multimodal-instruct

Feb 1, 2025

1.2 years ago

10mo newer

Knowledge Cutoff

When training data ends

Phi-4-multimodal-instruct has a documented knowledge cutoff of 2024-06-01, while Claude 3 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 Haiku's cutoff date.

Claude 3 Haiku

—

Phi-4-multimodal-instruct

Jun 2024

Provider Availability

Claude 3 Haiku is available from Anthropic, Bedrock, Google. Phi-4-multimodal-instruct is available from DeepInfra.

Claude 3 Haiku

anthropic logo
Anthropic
Input Price:Input: $0.25/1MOutput Price:Output: $1.25/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.25/1MOutput Price:Output: $1.25/1M
google logo
Google
Input Price:Input: $0.25/1MOutput Price:Output: $1.25/1M

Phi-4-multimodal-instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.10/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Anthropic
Larger context window (200,000 tokens)
Microsoft
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude 3 Haiku
Microsoft
Phi-4-multimodal-instruct

FAQ

Common questions about Claude 3 Haiku vs Phi-4-multimodal-instruct

Claude 3 Haiku (Anthropic) and Phi-4-multimodal-instruct (Microsoft) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Claude 3 Haiku scores ARC-C: 89.2%, GSM8k: 88.9%, HellaSwag: 85.9%, DROP: 78.4%, HumanEval: 75.9%. Phi-4-multimodal-instruct scores ScienceQA Visual: 97.5%, DocVQA: 93.2%, MMBench: 86.7%, POPE: 85.6%, OCRBench: 84.4%.
Phi-4-multimodal-instruct is 5.0x cheaper for input tokens. Claude 3 Haiku costs $0.25/M input and $1.25/M output via anthropic. Phi-4-multimodal-instruct costs $0.05/M input and $0.10/M output via deepinfra.
Claude 3 Haiku supports 200K tokens and Phi-4-multimodal-instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (200K vs 128K), input pricing ($0.25 vs $0.05/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
Claude 3 Haiku is developed by Anthropic and Phi-4-multimodal-instruct is developed by Microsoft.