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Claude Haiku 5.5 vs Phi-4-multimodal-instruct

Claude Haiku 5.5 leads the LLM Stats Score 50.0 to 2.8. Phi-4-multimodal-instruct is 3.2x cheaper per token.

Anthropic · Microsoft · Updated for 2026

Which is better?

Claude Haiku 5.5 leads the overall LLM Stats Score 50.0 to 2.8, ranking #19 overall.

On price, Phi-4-multimodal-instruct is roughly 3.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Claude Haiku 5.5 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

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 — it leads those capability indexes
  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Oct 2026

Choose Phi-4-multimodal-instruct

  • cost matters — it's about 3.2x cheaper per token
  • 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-4-multimodal-instruct
Microsoft
Core performance indexes
LLM Stats Score
50.0
#19
2.8
#328
Reasoning
47.2
#27
-0.2
#336
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
$0.05 / M
Output price
$0.50 / M
$0.10 / M
Context window
1,000,000
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Claude Haiku 5.5
Phi-4-multimodal-instruct
Vision
30.4#33
1.6#182
Multimodal
31.4#27
3.5#152
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

36 reported for Claude Haiku 5.5 · 15 for Phi-4-multimodal-instruct

No common benchmarks found

Claude Haiku 5.5 and Phi-4-multimodal-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

Pricing Analysis

Price comparison per million tokens

Phi-4-multimodal-instruct costs less

For input processing, Claude Haiku 5.5 ($0.10/1M tokens) is 2.0x more expensive than Phi-4-multimodal-instruct ($0.05/1M tokens).

For output processing, Claude Haiku 5.5 ($0.50/1M tokens) is 5.0x more expensive than Phi-4-multimodal-instruct ($0.10/1M tokens).

In conclusion, Claude Haiku 5.5 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 Oct 08 2026 • llm-stats.com
Anthropic
Claude Haiku 5.5
Input tokens$0.10
Output tokens$0.50
Best providerAnthropic
Microsoft
Phi-4-multimodal-instruct
Input tokens$0.05
Output tokens$0.10
Best providerDeepinfra
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Claude Haiku 5.5 accepts 1,000,000 input tokens compared to Phi-4-multimodal-instruct's 128,000 tokens. Both models can generate responses up to 128,000 tokens.

Anthropic
Claude Haiku 5.5
Input1,000,000 tokens
Output128,000 tokens
Microsoft
Phi-4-multimodal-instruct
Input128,000 tokens
Output128,000 tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Claude Haiku 5.5 and Phi-4-multimodal-instruct support multimodal inputs.

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

Claude Haiku 5.5

Text
Images
Audio
Video

Phi-4-multimodal-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Haiku 5.5 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 Haiku 5.5

Proprietary

Closed source

Phi-4-multimodal-instruct

MIT

Open weights

Release Timeline

When each model was launched

Claude Haiku 5.5 was released on 2026-10-07, while Phi-4-multimodal-instruct was released on 2025-02-01.

Claude Haiku 5.5 is 20 months newer than Phi-4-multimodal-instruct.

Claude Haiku 5.5

Oct 7, 2026

1 days ago

1.7yr newer
Phi-4-multimodal-instruct

Feb 1, 2025

1.7 years ago

Knowledge Cutoff

When training data ends

Claude Haiku 5.5 has a knowledge cutoff of 2026-06-01, while Phi-4-multimodal-instruct has a cutoff of 2024-06-01.

Claude Haiku 5.5 has more recent training data (up to 2026-06-01), making it potentially better informed about events through that date compared to Phi-4-multimodal-instruct (2024-06-01).

Claude Haiku 5.5

Jun 2026

2 yr newer
Phi-4-multimodal-instruct

Jun 2024

Provider Availability

Claude Haiku 5.5 is available from Anthropic. Phi-4-multimodal-instruct is available from DeepInfra.

Claude Haiku 5.5

anthropic logo
Anthropic
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M

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?

Judge for yourself.

Run your own prompts against Claude Haiku 5.5 and Phi-4-multimodal-instruct side-by-side, then vote on the output you prefer.

Claude Haiku 5.5
✓ Preferred
Phi-4-multimodal-instruct
Open in Playground

FAQ

Common questions about Claude Haiku 5.5 vs Phi-4-multimodal-instruct.

Which is better, Claude Haiku 5.5 or Phi-4-multimodal-instruct?

Claude Haiku 5.5 leads the LLM Stats Score 50.0 to 2.8. Claude Haiku 5.5 is made by Anthropic and Phi-4-multimodal-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-4-multimodal-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-4-multimodal-instruct scores ScienceQA Visual: 97.5%, DocVQA: 93.2%, MMBench: 86.7%, POPE: 85.6%, OCRBench: 84.4%.

Is Claude Haiku 5.5 cheaper than Phi-4-multimodal-instruct?

Phi-4-multimodal-instruct is 2.0x cheaper for input tokens. Claude Haiku 5.5 costs $0.10/M input and $0.50/M output via anthropic. Phi-4-multimodal-instruct costs $0.05/M input and $0.10/M output via deepinfra.

What are the context window sizes for Claude Haiku 5.5 and Phi-4-multimodal-instruct?

Claude Haiku 5.5 supports 1.0M 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.

What are the main differences between Claude Haiku 5.5 and Phi-4-multimodal-instruct?

Key differences include LLM Stats Score (50.0 vs 2.8), context window (1.0M vs 128K), input pricing ($0.10 vs $0.05/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Haiku 5.5 and Phi-4-multimodal-instruct?

Claude Haiku 5.5 is developed by Anthropic and Phi-4-multimodal-instruct is developed by Microsoft.

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