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Gemini 1.0 Pro vs Gemma 3 4B

Gemini 1.0 Pro and Gemma 3 4B are closely matched at -5.3 and -1.7 on the LLM Stats Score. Gemma 3 4B is 30.0x cheaper per token.

Google · Google · Updated for 2026

Which is better?

Gemini 1.0 Pro and Gemma 3 4B are closely matched on the overall LLM Stats Score at -5.3 and -1.7.

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

On price, Gemma 3 4B is roughly 30.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemma 3 4B also accepts a larger context window (131,072 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 1.0 Pro

  • you want predictable pricing at $0.50/M input and $1.50/M output

Choose Gemma 3 4B

  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • cost matters — it's about 30.0x cheaper per token
  • you process long inputs — it offers a 131,072 token context window
  • you want the most recent training data — it shipped Mar 2025
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 1.0 Pro
Google
Gemma 3 4B
Google
Core performance indexes
LLM Stats Score
-5.3
#345
-1.7
#325
Reasoning
-7.9
#343
-2.7
#321
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
$0.50 / M
$0.02 / M
Output price
$1.50 / M
$0.04 / M
Context window
32,760
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Gemini 1.0 Pro
Gemma 3 4B
Math
-1.4#296
5.3#267
Vision
-8.3#200
-11.3#203
Multimodal
-5.9#161
-9.0#163
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Gemini 1.0 Pro · 26 for Gemma 3 4B

2 shared

Gemini 1.0 Pro outperforms in 0 benchmarks, while Gemma 3 4B is better at 2 benchmarks (GPQA, MATH).

Gemma 3 4B significantly outperforms across most benchmarks.

Sun Sep 06 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Gemma 3 4B costs less

For input processing, Gemini 1.0 Pro ($0.50/1M tokens) is 25.0x more expensive than Gemma 3 4B ($0.02/1M tokens).

For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 37.5x more expensive than Gemma 3 4B ($0.04/1M tokens).

In conclusion, Gemini 1.0 Pro is more expensive than Gemma 3 4B.*

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

Lowest available price from all providers
Sun Sep 06 2026 • llm-stats.com
Google
Gemini 1.0 Pro
Input tokens$0.50
Output tokens$1.50
Best providerGoogle
Google
Gemma 3 4B
Input tokens$0.02
Output tokens$0.04
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemma 3 4B accepts 131,072 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. Gemma 3 4B can generate longer responses up to 131,072 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.

Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
Google
Gemma 3 4B
Input131,072 tokens
Output131,072 tokens
Sun Sep 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemma 3 4B supports multimodal inputs, whereas Gemini 1.0 Pro does not.

Gemma 3 4B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 1.0 Pro

Text
Images
Audio
Video

Gemma 3 4B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.0 Pro is licensed under a proprietary license, while Gemma 3 4B uses Gemma.

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

Gemini 1.0 Pro

Proprietary

Closed source

Gemma 3 4B

Gemma

Open weights

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while Gemma 3 4B was released on 2025-03-12.

Gemma 3 4B is 13 months newer than Gemini 1.0 Pro.

Gemini 1.0 Pro

Feb 15, 2024

2.6 years ago

Gemma 3 4B

Mar 12, 2025

1.5 years ago

1.1yr newer

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a knowledge cutoff of 2024-02-01, while Gemma 3 4B has a cutoff of 2024-08-01.

Gemma 3 4B has more recent training data (up to 2024-08-01), making it potentially better informed about events through that date compared to Gemini 1.0 Pro (2024-02-01).

Gemini 1.0 Pro

Feb 2024

Gemma 3 4B

Aug 2024

6 mo newer

Provider Availability

Gemini 1.0 Pro is available from Google. Gemma 3 4B is available from DeepInfra.

Gemini 1.0 Pro

google logo
Google
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M

Gemma 3 4B

deepinfra logo
Deepinfra
Input Price:Input: $0.02/1MOutput Price:Output: $0.04/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 1.0 Pro and Gemma 3 4B side-by-side, then vote on the output you prefer.

Gemini 1.0 Pro
✓ Preferred
Gemma 3 4B
Open in Playground

FAQ

Common questions about Gemini 1.0 Pro vs Gemma 3 4B.

Which is better, Gemini 1.0 Pro or Gemma 3 4B?

Gemini 1.0 Pro and Gemma 3 4B are closely matched on the LLM Stats Score at -5.3 and -1.7. Gemini 1.0 Pro is made by Google and Gemma 3 4B 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 1.0 Pro compare to Gemma 3 4B in benchmarks?

Gemini 1.0 Pro scores FLEURS: 93.6%, BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%. Gemma 3 4B scores IFEval: 90.2%, GSM8k: 89.2%, DocVQA: 75.8%, MATH: 75.6%, AI2D: 74.8%.

Is Gemini 1.0 Pro cheaper than Gemma 3 4B?

Gemma 3 4B is 25.0x cheaper for input tokens. Gemini 1.0 Pro costs $0.50/M input and $1.50/M output via google. Gemma 3 4B costs $0.02/M input and $0.04/M output via deepinfra.

What are the context window sizes for Gemini 1.0 Pro and Gemma 3 4B?

Gemini 1.0 Pro supports 33K tokens and Gemma 3 4B 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 1.0 Pro and Gemma 3 4B?

Key differences include LLM Stats Score (-5.3 vs -1.7), context window (33K vs 131K), input pricing ($0.50 vs $0.02/M), multimodal support (no vs yes), licensing (Proprietary vs Gemma). See the full comparison above for benchmark-by-benchmark results.

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