Model Comparison

Gemini 3.5 Flash-Lite vs Phi-4-multimodal-instructWhich is better in 2026?

Comparing Gemini 3.5 Flash-Lite and Phi-4-multimodal-instruct across benchmarks, pricing, and capabilities.

Verdict: Gemini 3.5 Flash-Lite vs Phi-4-multimodal-instruct — which is better?

Gemini 3.5 Flash-Lite (by Google) 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 13.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.5 Flash-Lite also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 3.5 Flash-Lite if…

  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Jul 2026

Choose Phi-4-multimodal-instruct if…

  • cost matters — it's about 13.6x cheaper per token
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.5 Flash-Lite 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, Gemini 3.5 Flash-Lite ($0.30/1M tokens) is 6.0x more expensive than Phi-4-multimodal-instruct ($0.05/1M tokens).

For output processing, Gemini 3.5 Flash-Lite ($2.50/1M tokens) is 25.0x more expensive than Phi-4-multimodal-instruct ($0.10/1M tokens).

In conclusion, Gemini 3.5 Flash-Lite is more expensive than Phi-4-multimodal-instruct.*

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

Lowest available price from all providers
Wed Jul 22 2026 • llm-stats.com
Google
Gemini 3.5 Flash-Lite
Input tokens$0.30
Output tokens$2.50
Best providerGoogle
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

Gemini 3.5 Flash-Lite accepts 1,048,576 input tokens compared to Phi-4-multimodal-instruct's 128,000 tokens. Phi-4-multimodal-instruct can generate longer responses up to 128,000 tokens, while Gemini 3.5 Flash-Lite is limited to 65,536 tokens.

Google
Gemini 3.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
Microsoft
Phi-4-multimodal-instruct
Input128,000 tokens
Output128,000 tokens
Wed Jul 22 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.5 Flash-Lite and Phi-4-multimodal-instruct support multimodal inputs.

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

Gemini 3.5 Flash-Lite

Text
Images
Audio
Video

Phi-4-multimodal-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.5 Flash-Lite 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.

Gemini 3.5 Flash-Lite

Proprietary

Closed source

Phi-4-multimodal-instruct

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3.5 Flash-Lite was released on 2026-07-21, while Phi-4-multimodal-instruct was released on 2025-02-01.

Gemini 3.5 Flash-Lite is 18 months newer than Phi-4-multimodal-instruct.

Gemini 3.5 Flash-Lite

Jul 21, 2026

0 days ago

1.5yr newer
Phi-4-multimodal-instruct

Feb 1, 2025

1.5 years ago

Knowledge Cutoff

When training data ends

Gemini 3.5 Flash-Lite has a knowledge cutoff of 2026-03-31, while Phi-4-multimodal-instruct has a cutoff of 2024-06-01.

Gemini 3.5 Flash-Lite has more recent training data (up to 2026-03-31), making it potentially better informed about events through that date compared to Phi-4-multimodal-instruct (2024-06-01).

Gemini 3.5 Flash-Lite

Mar 2026

1.8 yr newer
Phi-4-multimodal-instruct

Jun 2024

Provider Availability

Gemini 3.5 Flash-Lite is available from Google. Phi-4-multimodal-instruct is available from DeepInfra.

Gemini 3.5 Flash-Lite

google logo
Google
Input Price:Input: $0.30/1MOutput Price:Output: $2.50/1M

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?Start an Issue discussion→

Key Takeaways

Google
Larger context window (1,048,576 tokens)
Microsoft
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 3.5 Flash-Lite and Phi-4-multimodal-instruct side-by-side, then vote on the output you prefer.

Gemini 3.5 Flash-Lite
✓ Preferred
Phi-4-multimodal-instruct
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 3.5 Flash-Lite
Microsoft
Phi-4-multimodal-instruct

FAQ

Common questions about Gemini 3.5 Flash-Lite vs Phi-4-multimodal-instruct.

Which is better, Gemini 3.5 Flash-Lite or Phi-4-multimodal-instruct?

Gemini 3.5 Flash-Lite (Google) 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 Gemini 3.5 Flash-Lite compare to Phi-4-multimodal-instruct in benchmarks?

Gemini 3.5 Flash-Lite scores CharXiv-R: 76.5%, OSWorld-Verified: 74.0%, SWE-Bench Pro: 54.2%, Terminal-Bench 2.1: 54.0%, MLE-Bench: 39.2%. Phi-4-multimodal-instruct scores ScienceQA Visual: 97.5%, DocVQA: 93.2%, MMBench: 86.7%, POPE: 85.6%, OCRBench: 84.4%.

Is Gemini 3.5 Flash-Lite cheaper than Phi-4-multimodal-instruct?

Phi-4-multimodal-instruct is 6.0x cheaper for input tokens. Gemini 3.5 Flash-Lite costs $0.30/M input and $2.50/M output via google. Phi-4-multimodal-instruct costs $0.05/M input and $0.10/M output via deepinfra.

What are the context window sizes for Gemini 3.5 Flash-Lite and Phi-4-multimodal-instruct?

Gemini 3.5 Flash-Lite 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 Gemini 3.5 Flash-Lite and Phi-4-multimodal-instruct?

Key differences include context window (1.0M vs 128K), input pricing ($0.30 vs $0.05/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.5 Flash-Lite and Phi-4-multimodal-instruct?

Gemini 3.5 Flash-Lite is developed by Google and Phi-4-multimodal-instruct is developed by Microsoft.

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