Model Comparison

Gemini 1.0 Pro vs Llama 3.2 3B InstructWhich is better in 2026?

Llama 3.2 3B Instruct shows notably better performance in the majority of benchmarks. Llama 3.2 3B Instruct is 60.0x cheaper per token.

Verdict: Gemini 1.0 Pro vs Llama 3.2 3B Instruct — which is better?

Gemini 1.0 Pro (by Google) and Llama 3.2 3B Instruct (by Meta) 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.

Gemini 1.0 Pro outperforms in 1 benchmarks (MMLU), while Llama 3.2 3B Instruct is better at 2 benchmarks (GPQA, MATH). Llama 3.2 3B Instruct shows notably better performance in the majority of benchmarks.

On price, Llama 3.2 3B Instruct is roughly 60.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Llama 3.2 3B Instruct also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 1.0 Pro if…

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

Choose Llama 3.2 3B Instruct if…

  • you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
  • cost matters — it's about 60.0x cheaper per token
  • you process long inputs — it offers a 128,000 token context window
  • you want the most recent training data — it shipped Sep 2024
  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 1.0 Pro outperforms in 1 benchmarks (MMLU), while Llama 3.2 3B Instruct is better at 2 benchmarks (GPQA, MATH).

Llama 3.2 3B Instruct shows notably better performance in the majority of benchmarks.

Mon Jun 08 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.2 3B Instruct costs less

For input processing, Gemini 1.0 Pro ($0.50/1M tokens) is 50.0x more expensive than Llama 3.2 3B Instruct ($0.01/1M tokens).

For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 75.0x more expensive than Llama 3.2 3B Instruct ($0.02/1M tokens).

In conclusion, Gemini 1.0 Pro is more expensive than Llama 3.2 3B Instruct.*

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

Lowest available price from all providers
Mon Jun 08 2026 • llm-stats.com
Google
Gemini 1.0 Pro
Input tokens$0.50
Output tokens$1.50
Best providerGoogle
Meta
Llama 3.2 3B Instruct
Input tokens$0.01
Output tokens$0.02
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Llama 3.2 3B Instruct accepts 128,000 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. Llama 3.2 3B Instruct can generate longer responses up to 128,000 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.

Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
Meta
Llama 3.2 3B Instruct
Input128,000 tokens
Output128,000 tokens
Mon Jun 08 2026 • llm-stats.com

License

Usage and distribution terms

Gemini 1.0 Pro is licensed under a proprietary license, while Llama 3.2 3B Instruct uses Llama 3.2 Community License.

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

Gemini 1.0 Pro

Proprietary

Closed source

Llama 3.2 3B Instruct

Llama 3.2 Community License

Open weights

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while Llama 3.2 3B Instruct was released on 2024-09-25.

Llama 3.2 3B Instruct is 7 months newer than Gemini 1.0 Pro.

Gemini 1.0 Pro

Feb 15, 2024

2.3 years ago

Llama 3.2 3B Instruct

Sep 25, 2024

1.7 years ago

7mo newer

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while Llama 3.2 3B Instruct's cutoff date is not specified.

We can confirm Gemini 1.0 Pro's training data extends to 2024-02-01, but cannot make a direct comparison without Llama 3.2 3B Instruct's cutoff date.

Gemini 1.0 Pro

Feb 2024

Llama 3.2 3B Instruct

—

Provider Availability

Gemini 1.0 Pro is available from Google. Llama 3.2 3B Instruct is available from DeepInfra.

Gemini 1.0 Pro

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

Llama 3.2 3B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.01/1MOutput Price:Output: $0.02/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Higher MMLU score (71.8% vs 63.4%)
Meta
Larger context window (128,000 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (32.8% vs 27.9%)
Higher MATH score (48.0% vs 32.6%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.0 Pro
Meta
Llama 3.2 3B Instruct

FAQ

Common questions about Gemini 1.0 Pro vs Llama 3.2 3B Instruct.

Which is better, Gemini 1.0 Pro or Llama 3.2 3B Instruct?

Llama 3.2 3B Instruct shows notably better performance in the majority of benchmarks. Gemini 1.0 Pro is made by Google and Llama 3.2 3B Instruct is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 1.0 Pro compare to Llama 3.2 3B Instruct in benchmarks?

Gemini 1.0 Pro scores BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%, MMMU: 47.9%. Llama 3.2 3B Instruct scores NIH/Multi-needle: 84.7%, ARC-C: 78.6%, GSM8k: 77.7%, IFEval: 77.4%, HellaSwag: 69.8%.

Is Gemini 1.0 Pro cheaper than Llama 3.2 3B Instruct?

Llama 3.2 3B Instruct is 50.0x cheaper for input tokens. Gemini 1.0 Pro costs $0.50/M input and $1.50/M output via google. Llama 3.2 3B Instruct costs $0.01/M input and $0.02/M output via deepinfra.

What are the context window sizes for Gemini 1.0 Pro and Llama 3.2 3B Instruct?

Gemini 1.0 Pro supports 33K tokens and Llama 3.2 3B 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 1.0 Pro and Llama 3.2 3B Instruct?

Key differences include context window (33K vs 128K), input pricing ($0.50 vs $0.01/M), licensing (Proprietary vs Llama 3.2 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.0 Pro and Llama 3.2 3B Instruct?

Gemini 1.0 Pro is developed by Google and Llama 3.2 3B Instruct is developed by Meta.

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