Model Comparison

Phi 4 vs Phi-4-multimodal-instructWhich is better in 2026?

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

Verdict: Phi 4 vs Phi-4-multimodal-instruct — which is better?

Phi 4 (by Microsoft) and Phi-4-multimodal-instruct (by Microsoft) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

On price, Phi-4-multimodal-instruct is roughly 1.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Phi-4-multimodal-instruct also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose Phi 4 if…

  • you want predictable pricing at $0.07/M input and $0.14/M output

Choose Phi-4-multimodal-instruct if…

  • cost matters — it's about 1.4x cheaper per token
  • you process long inputs — it offers a 128,000 token context window
  • you want the most recent training data — it shipped Feb 2025

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Phi 4 and Phi-4-multimodal-instructdon'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, Phi 4 ($0.07/1M tokens) is 1.4x more expensive than Phi-4-multimodal-instruct ($0.05/1M tokens).

For output processing, Phi 4 ($0.14/1M tokens) is 1.4x more expensive than Phi-4-multimodal-instruct ($0.10/1M tokens).

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

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

Lowest available price from all providers
Tue Jul 21 2026 • llm-stats.com
Microsoft
Phi 4
Input tokens$0.07
Output tokens$0.14
Best providerDeepinfra
Microsoft
Phi-4-multimodal-instruct
Input tokens$0.05
Output tokens$0.10
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

9.1B diff

Phi 4 has 9.1B more parameters than Phi-4-multimodal-instruct, making it 162.5% larger.

Microsoft
Phi 4
14.7Bparameters
Microsoft
Phi-4-multimodal-instruct
5.6Bparameters
14.7B
Phi 4
5.6B
Phi-4-multimodal-instruct

Context Window

Maximum input and output token capacity

Phi-4-multimodal-instruct accepts 128,000 input tokens compared to Phi 4's 16,000 tokens. Phi-4-multimodal-instruct can generate longer responses up to 128,000 tokens, while Phi 4 is limited to 16,000 tokens.

Microsoft
Phi 4
Input16,000 tokens
Output16,000 tokens
Microsoft
Phi-4-multimodal-instruct
Input128,000 tokens
Output128,000 tokens
Tue Jul 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

Phi 4

Text
Images
Audio
Video

Phi-4-multimodal-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

Phi 4

MIT

Open weights

Phi-4-multimodal-instruct

MIT

Open weights

Release Timeline

When each model was launched

Phi 4 was released on 2024-12-12, while Phi-4-multimodal-instruct was released on 2025-02-01.

Phi-4-multimodal-instruct is 2 months newer than Phi 4.

Phi 4

Dec 12, 2024

1.6 years ago

Phi-4-multimodal-instruct

Feb 1, 2025

1.5 years ago

1mo newer

Knowledge Cutoff

When training data ends

Both models have the same knowledge cutoff date of 2024-06-01.

They should have similar awareness of historical events and information up to this date.

Phi 4

Jun 2024

Phi-4-multimodal-instruct

Jun 2024

Provider Availability

Phi 4 is available from DeepInfra. Phi-4-multimodal-instruct is available from DeepInfra.

Phi 4

deepinfra logo
Deepinfra
Input Price:Input: $0.07/1MOutput Price:Output: $0.14/1M

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

No standout differentiators in the data we have for this pair.

Larger context window (128,000 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

Interactive Arena

Judge for yourself.

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

Phi 4
✓ Preferred
Phi-4-multimodal-instruct
Open in Playground
AI Model Comparison Table
Feature
Microsoft
Phi 4
Microsoft
Phi-4-multimodal-instruct

FAQ

Common questions about Phi 4 vs Phi-4-multimodal-instruct.

Which is better, Phi 4 or Phi-4-multimodal-instruct?

Phi 4 (Microsoft) 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.

How does Phi 4 compare to Phi-4-multimodal-instruct in benchmarks?

Phi 4 scores MMLU: 84.8%, HumanEval+: 82.8%, HumanEval: 82.6%, MGSM: 80.6%, MATH: 80.4%. Phi-4-multimodal-instruct scores ScienceQA Visual: 97.5%, DocVQA: 93.2%, MMBench: 86.7%, POPE: 85.6%, OCRBench: 84.4%.

Is Phi 4 cheaper than Phi-4-multimodal-instruct?

Phi-4-multimodal-instruct is 1.4x cheaper for input tokens. Phi 4 costs $0.07/M input and $0.14/M output via deepinfra. Phi-4-multimodal-instruct costs $0.05/M input and $0.10/M output via deepinfra.

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

Phi 4 supports 16K 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 Phi 4 and Phi-4-multimodal-instruct?

Key differences include context window (16K vs 128K), input pricing ($0.07 vs $0.05/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.