The AI arena is free today

Open Superagent

Gemini 1.5 Flash 8B vs Phi-4-multimodal-instruct

Gemini 1.5 Flash 8B and Phi-4-multimodal-instruct are closely matched at -0.8 and 2.8 on the LLM Stats Score. Phi-4-multimodal-instruct is 2.0x cheaper per token.

Google · Microsoft · Updated for 2026

Which is better?

Gemini 1.5 Flash 8B and Phi-4-multimodal-instruct are closely matched on the overall LLM Stats Score at -0.8 and 2.8.

In the 3 individual benchmarks reported for both models, Phi-4-multimodal-instruct wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, Phi-4-multimodal-instruct is roughly 2.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 1.5 Flash 8B also accepts a larger context window (1,048,576 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 Gemini 1.5 Flash 8B

  • you process long inputs — it offers a 1,048,576 token context window

Choose Phi-4-multimodal-instruct

  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results
  • cost matters — it's about 2.0x cheaper per token
  • you want the most recent training data — it shipped Feb 2025
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 1.5 Flash 8B
Google
Phi-4-multimodal-instruct
Microsoft
Core performance indexes
LLM Stats Score
-0.8
#339
2.8
#320
Reasoning
-0.4
#330
-0.2
#328
Cost, coverage & limits
Benchmark wins
1 of 3
2 of 3
Input price
$0.07 / M
$0.05 / M
Output price
$0.30 / M
$0.10 / M
Context window
1,048,576
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemini 1.5 Flash 8B
Phi-4-multimodal-instruct
Vision
-2.5#197
1.6#179
Multimodal
0.2#159
3.6#148
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Gemini 1.5 Flash 8B · 15 for Phi-4-multimodal-instruct

3 shared

Gemini 1.5 Flash 8B outperforms in 1 benchmarks (Video-MME), while Phi-4-multimodal-instruct is better at 2 benchmarks (MathVista, MMMU).

Phi-4-multimodal-instruct shows notably better performance in the majority of benchmarks.

Sat Oct 03 2026 • llm-stats.com

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, Gemini 1.5 Flash 8B ($0.07/1M tokens) is 1.4x more expensive than Phi-4-multimodal-instruct ($0.05/1M tokens).

For output processing, Gemini 1.5 Flash 8B ($0.30/1M tokens) is 3.0x more expensive than Phi-4-multimodal-instruct ($0.10/1M tokens).

In conclusion, Gemini 1.5 Flash 8B is more expensive than Phi-4-multimodal-instruct.*

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

Lowest available price from all providers
Sat Oct 03 2026 • llm-stats.com
Google
Gemini 1.5 Flash 8B
Input tokens$0.07
Output tokens$0.30
Best providerGoogle
Microsoft
Phi-4-multimodal-instruct
Input tokens$0.05
Output tokens$0.10
Best providerDeepinfra
Notice missing or incorrect data?

Model Size

Parameter count comparison

2.4B diff

Gemini 1.5 Flash 8B has 2.4B more parameters than Phi-4-multimodal-instruct, making it 42.9% larger.

Google
Gemini 1.5 Flash 8B
8.0Bparameters
Microsoft
Phi-4-multimodal-instruct
5.6Bparameters
8.0B
Gemini 1.5 Flash 8B
5.6B
Phi-4-multimodal-instruct

Context Window

Maximum input and output token capacity

Gemini 1.5 Flash 8B 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 1.5 Flash 8B is limited to 8,192 tokens.

Google
Gemini 1.5 Flash 8B
Input1,048,576 tokens
Output8,192 tokens
Microsoft
Phi-4-multimodal-instruct
Input128,000 tokens
Output128,000 tokens
Sat Oct 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 1.5 Flash 8B and Phi-4-multimodal-instruct support multimodal inputs.

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

Gemini 1.5 Flash 8B

Text
Images
Audio
Video

Phi-4-multimodal-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Flash 8B 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 1.5 Flash 8B

Proprietary

Closed source

Phi-4-multimodal-instruct

MIT

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Flash 8B was released on 2024-03-15, while Phi-4-multimodal-instruct was released on 2025-02-01.

Phi-4-multimodal-instruct is 11 months newer than Gemini 1.5 Flash 8B.

Gemini 1.5 Flash 8B

Mar 15, 2024

2.6 years ago

Phi-4-multimodal-instruct

Feb 1, 2025

1.7 years ago

10mo newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash 8B has a knowledge cutoff of 2024-10-01, while Phi-4-multimodal-instruct has a cutoff of 2024-06-01.

Gemini 1.5 Flash 8B has more recent training data (up to 2024-10-01), making it potentially better informed about events through that date compared to Phi-4-multimodal-instruct (2024-06-01).

Gemini 1.5 Flash 8B

Oct 2024

4 mo newer
Phi-4-multimodal-instruct

Jun 2024

Provider Availability

Gemini 1.5 Flash 8B is available from Google. Phi-4-multimodal-instruct is available from DeepInfra.

Gemini 1.5 Flash 8B

google logo
Google
Input Price:Input: $0.07/1MOutput Price:Output: $0.30/1M

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 Gemini 1.5 Flash 8B and Phi-4-multimodal-instruct side-by-side, then vote on the output you prefer.

Gemini 1.5 Flash 8B
✓ Preferred
Phi-4-multimodal-instruct
Open in Playground

FAQ

Common questions about Gemini 1.5 Flash 8B vs Phi-4-multimodal-instruct.

Which is better, Gemini 1.5 Flash 8B or Phi-4-multimodal-instruct?

Gemini 1.5 Flash 8B and Phi-4-multimodal-instruct are closely matched on the LLM Stats Score at -0.8 and 2.8. Gemini 1.5 Flash 8B is made by Google 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 Gemini 1.5 Flash 8B compare to Phi-4-multimodal-instruct in benchmarks?

Gemini 1.5 Flash 8B scores XSTest: 92.6%, FLEURS: 86.4%, Natural2Code: 75.5%, WMT23: 72.6%, Video-MME: 66.2%. Phi-4-multimodal-instruct scores ScienceQA Visual: 97.5%, DocVQA: 93.2%, MMBench: 86.7%, POPE: 85.6%, OCRBench: 84.4%.

Is Gemini 1.5 Flash 8B cheaper than Phi-4-multimodal-instruct?

Phi-4-multimodal-instruct is 1.4x cheaper for input tokens. Gemini 1.5 Flash 8B costs $0.07/M input and $0.30/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 1.5 Flash 8B and Phi-4-multimodal-instruct?

Gemini 1.5 Flash 8B 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 1.5 Flash 8B and Phi-4-multimodal-instruct?

Key differences include LLM Stats Score (-0.8 vs 2.8), context window (1.0M vs 128K), input pricing ($0.07 vs $0.05/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.5 Flash 8B and Phi-4-multimodal-instruct?

Gemini 1.5 Flash 8B is developed by Google and Phi-4-multimodal-instruct is developed by Microsoft.

Related comparisons