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Gemini 1.5 Pro vs Gemma 4 E4B

Gemini 1.5 Pro and Gemma 4 E4B are closely matched at 12.0 and 13.8 on the LLM Stats Score. Gemma 4 E4B is 109.4x cheaper per token.

Google · Google · Updated for 2026

Which is better?

Gemini 1.5 Pro and Gemma 4 E4B are closely matched on the overall LLM Stats Score at 12.0 and 13.8.

In the 2 individual benchmarks reported for both models, Gemini 1.5 Pro wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, Gemma 4 E4B is roughly 109.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 1.5 Pro also accepts a larger context window (2,097,152 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 Pro

  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you process long inputs — it offers a 2,097,152 token context window

Choose Gemma 4 E4B

  • cost matters — it's about 109.4x cheaper per token
  • you want the most recent training data — it shipped Apr 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 1.5 Pro
Google
Gemma 4 E4B
Google
Core performance indexes
LLM Stats Score
12.0
#263
13.8
#250
Reasoning
11.8
#258
13.6
#242
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$2.50 / M
$0.02 / M
Output price
$10.00 / M
$0.10 / M
Context window
2,097,152
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Gemini 1.5 Pro
Gemma 4 E4B
Math
16.9#202
11.9#238
Vision
9.3#134
3.8#167
Multimodal
13.4#106
6.2#140
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

23 reported for Gemini 1.5 Pro · 11 for Gemma 4 E4B

2 shared

Gemini 1.5 Pro outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Gemma 4 E4B is better at 0 benchmarks.

Gemini 1.5 Pro significantly outperforms across most benchmarks.

Fri Oct 02 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Gemma 4 E4B costs less

For input processing, Gemini 1.5 Pro ($2.50/1M tokens) is 125.0x more expensive than Gemma 4 E4B ($0.02/1M tokens).

For output processing, Gemini 1.5 Pro ($10.00/1M tokens) is 100.0x more expensive than Gemma 4 E4B ($0.10/1M tokens).

In conclusion, Gemini 1.5 Pro is more expensive than Gemma 4 E4B.*

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

Lowest available price from all providers
Fri Oct 02 2026 • llm-stats.com
Google
Gemini 1.5 Pro
Input tokens$2.50
Output tokens$10.00
Best providerGoogle
Google
Gemma 4 E4B
Input tokens$0.02
Output tokens$0.10
Best providerDeepinfra
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Gemini 1.5 Pro accepts 2,097,152 input tokens compared to Gemma 4 E4B's 131,072 tokens. Gemma 4 E4B can generate longer responses up to 131,072 tokens, while Gemini 1.5 Pro is limited to 8,192 tokens.

Google
Gemini 1.5 Pro
Input2,097,152 tokens
Output8,192 tokens
Google
Gemma 4 E4B
Input131,072 tokens
Output131,072 tokens
Fri Oct 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 1.5 Pro and Gemma 4 E4B support multimodal inputs.

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

Gemini 1.5 Pro

Text
Images
Audio
Video

Gemma 4 E4B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Pro is licensed under a proprietary license, while Gemma 4 E4B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 1.5 Pro

Proprietary

Closed source

Gemma 4 E4B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Pro was released on 2024-05-01, while Gemma 4 E4B was released on 2026-04-02.

Gemma 4 E4B is 23 months newer than Gemini 1.5 Pro.

Gemini 1.5 Pro

May 1, 2024

2.4 years ago

Gemma 4 E4B

Apr 2, 2026

6 months ago

1.9yr newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Pro has a knowledge cutoff of 2023-11-01, while Gemma 4 E4B has a cutoff of 2025-01-01.

Gemma 4 E4B has more recent training data (up to 2025-01-01), making it potentially better informed about events through that date compared to Gemini 1.5 Pro (2023-11-01).

Gemini 1.5 Pro

Nov 2023

Gemma 4 E4B

Jan 2025

1.2 yr newer

Provider Availability

Gemini 1.5 Pro is available from Google. Gemma 4 E4B is available from DeepInfra.

Gemini 1.5 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

Gemma 4 E4B

deepinfra logo
Deepinfra
Input Price:Input: $0.02/1MOutput 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 Pro and Gemma 4 E4B side-by-side, then vote on the output you prefer.

Gemini 1.5 Pro
✓ Preferred
Gemma 4 E4B
Open in Playground

FAQ

Common questions about Gemini 1.5 Pro vs Gemma 4 E4B.

Which is better, Gemini 1.5 Pro or Gemma 4 E4B?

Gemini 1.5 Pro and Gemma 4 E4B are closely matched on the LLM Stats Score at 12.0 and 13.8. Gemini 1.5 Pro is made by Google and Gemma 4 E4B is made by Google. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 1.5 Pro compare to Gemma 4 E4B in benchmarks?

Gemini 1.5 Pro scores XSTest: 98.8%, FLEURS: 93.3%, HellaSwag: 93.3%, GSM8k: 90.8%, BIG-Bench Hard: 89.2%. Gemma 4 E4B scores MMMLU: 76.6%, MMLU-Pro: 69.4%, MathVision: 59.5%, GPQA: 58.6%, t2-bench: 57.5%.

Is Gemini 1.5 Pro cheaper than Gemma 4 E4B?

Gemma 4 E4B is 125.0x cheaper for input tokens. Gemini 1.5 Pro costs $2.50/M input and $10.00/M output via google. Gemma 4 E4B costs $0.02/M input and $0.10/M output via deepinfra.

What are the context window sizes for Gemini 1.5 Pro and Gemma 4 E4B?

Gemini 1.5 Pro supports 2.1M tokens and Gemma 4 E4B supports 131K 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 Pro and Gemma 4 E4B?

Key differences include LLM Stats Score (12.0 vs 13.8), context window (2.1M vs 131K), input pricing ($2.50 vs $0.02/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

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