The AI arena is free today

Open Superagent

Gemini 3.7 Flash vs Llama 3.2 11B Instruct

Comparing Gemini 3.7 Flash and Llama 3.2 11B Instruct across benchmarks, pricing, and capabilities.

Google · Meta · Updated for 2026

Which is better?

Gemini 3.7 Flash and Llama 3.2 11B Instruct trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, Llama 3.2 11B Instruct is roughly 30.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.7 Flash 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 benchmark, pricing, and model metadata for 2026.

Choose Gemini 3.7 Flash

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

Choose Llama 3.2 11B Instruct

  • cost matters — it's about 30.0x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Benchmark wins
Input price
$0.75 / M
$0.05 / M
Output price
$3.75 / M
$0.05 / M
Context window
1,048,576
128,000
Released
Aug 2026
Sep 2024
License
Proprietary
Llama 3.2 Community License

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.7 Flash and Llama 3.2 11B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Pricing Analysis

Price comparison per million tokens

Llama 3.2 11B Instruct costs less

For input processing, Gemini 3.7 Flash ($0.75/1M tokens) is 15.0x more expensive than Llama 3.2 11B Instruct ($0.05/1M tokens).

For output processing, Gemini 3.7 Flash ($3.75/1M tokens) is 75.0x more expensive than Llama 3.2 11B Instruct ($0.05/1M tokens).

In conclusion, Gemini 3.7 Flash is more expensive than Llama 3.2 11B Instruct.*

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

Lowest available price from all providers
Tue Aug 25 2026 • llm-stats.com
Google
Gemini 3.7 Flash
Input tokens$0.75
Output tokens$3.75
Best providerGoogle
Meta
Llama 3.2 11B Instruct
Input tokens$0.05
Output tokens$0.05
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Gemini 3.7 Flash accepts 1,048,576 input tokens compared to Llama 3.2 11B Instruct's 128,000 tokens. Llama 3.2 11B Instruct can generate longer responses up to 128,000 tokens, while Gemini 3.7 Flash is limited to 65,536 tokens.

Google
Gemini 3.7 Flash
Input1,048,576 tokens
Output65,536 tokens
Meta
Llama 3.2 11B Instruct
Input128,000 tokens
Output128,000 tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.7 Flash and Llama 3.2 11B Instruct support multimodal inputs.

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

Gemini 3.7 Flash

Text
Images
Audio
Video

Llama 3.2 11B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.7 Flash is licensed under a proprietary license, while Llama 3.2 11B Instruct uses Llama 3.2 Community License.

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

Gemini 3.7 Flash

Proprietary

Closed source

Llama 3.2 11B Instruct

Llama 3.2 Community License

Open weights

Release Timeline

When each model was launched

Gemini 3.7 Flash was released on 2026-08-13, while Llama 3.2 11B Instruct was released on 2024-09-25.

Gemini 3.7 Flash is 23 months newer than Llama 3.2 11B Instruct.

Gemini 3.7 Flash

Aug 13, 2026

1 weeks ago

1.9yr newer
Llama 3.2 11B Instruct

Sep 25, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Gemini 3.7 Flash has a knowledge cutoff of 2026-03-31, while Llama 3.2 11B Instruct has a cutoff of 2023-12-31.

Gemini 3.7 Flash has more recent training data (up to 2026-03-31), making it potentially better informed about events through that date compared to Llama 3.2 11B Instruct (2023-12-31).

Gemini 3.7 Flash

Mar 2026

2.3 yr newer
Llama 3.2 11B Instruct

Dec 2023

Provider Availability

Gemini 3.7 Flash is available from Google. Llama 3.2 11B Instruct is available from DeepInfra, Sambanova, Bedrock, Groq, Together, Fireworks.

Gemini 3.7 Flash

google logo
Google
Input Price:Input: $0.75/1MOutput Price:Output: $3.75/1M

Llama 3.2 11B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.05/1M
sambanova logo
Sambanova
Input Price:Input: $0.15/1MOutput Price:Output: $0.30/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.16/1MOutput Price:Output: $0.16/1M
groq logo
Groq
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
together logo
Together
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
fireworks logo
Fireworks
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
* 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 3.7 Flash and Llama 3.2 11B Instruct side-by-side, then vote on the output you prefer.

Gemini 3.7 Flash
✓ Preferred
Llama 3.2 11B Instruct
Open in Playground

FAQ

Common questions about Gemini 3.7 Flash vs Llama 3.2 11B Instruct.

Which is better, Gemini 3.7 Flash or Llama 3.2 11B Instruct?

Gemini 3.7 Flash (Google) and Llama 3.2 11B Instruct (Meta) 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 3.7 Flash compare to Llama 3.2 11B Instruct in benchmarks?

Gemini 3.7 Flash scores MRCR v2 (8-needle): 97.0%, Harvey LAB-AA: 90.7%, CharXiv-R: 88.7%, Terminal-Bench 2.1: 85.8%, LVBench: 85.4%. Llama 3.2 11B Instruct scores AI2D: 91.1%, DocVQA: 88.4%, ChartQA: 83.4%, VQAv2 (test): 75.2%, MMLU: 73.0%.

Is Gemini 3.7 Flash cheaper than Llama 3.2 11B Instruct?

Llama 3.2 11B Instruct is 15.0x cheaper for input tokens. Gemini 3.7 Flash costs $0.75/M input and $3.75/M output via google. Llama 3.2 11B Instruct costs $0.05/M input and $0.05/M output via deepinfra.

What are the context window sizes for Gemini 3.7 Flash and Llama 3.2 11B Instruct?

Gemini 3.7 Flash supports 1.0M tokens and Llama 3.2 11B 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 3.7 Flash and Llama 3.2 11B Instruct?

Key differences include context window (1.0M vs 128K), input pricing ($0.75 vs $0.05/M), licensing (Proprietary vs Llama 3.2 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.7 Flash and Llama 3.2 11B Instruct?

Gemini 3.7 Flash is developed by Google and Llama 3.2 11B Instruct is developed by Meta.