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Gemini 4 Carbon vs Llama 3.2 90B Instruct

Gemini 4 Carbon leads the LLM Stats Score 59.0 to 4.7.

Google · Meta · Updated for 2026

Which is better?

Gemini 4 Carbon leads the overall LLM Stats Score 59.0 to 4.7, ranking #2 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 4 Carbon

  • overall performance matters — it scores 59.0 and ranks #2 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose Llama 3.2 90B Instruct

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 4 Carbon
Google
Llama 3.2 90B Instruct
Meta
Core performance indexes
LLM Stats Score
59.0
#2
4.7
#333
Reasoning
54.9
#5
6.2
#321
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.35 / M
Output price
— / M
$0.40 / M
Context window
—
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemini 4 Carbon
Llama 3.2 90B Instruct
Vision
36.0#12
2.7#192
Multimodal
38.0#6
5.4#158
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Gemini 4 Carbon · 13 for Llama 3.2 90B Instruct

No common benchmarks found

Gemini 4 Carbon and Llama 3.2 90B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Llama 3.2 90B Instruct specifies input context (128,000 tokens). Only Llama 3.2 90B Instruct specifies output context (128,000 tokens).

Google
Gemini 4 Carbon
Input- tokens
Output- tokens
Meta
Llama 3.2 90B Instruct
Input128,000 tokens
Output128,000 tokens
Thu Oct 29 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 4 Carbon and Llama 3.2 90B Instruct support multimodal inputs.

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

Gemini 4 Carbon

Text
Images
Audio
Video

Llama 3.2 90B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 4 Carbon is licensed under a proprietary license, while Llama 3.2 90B Instruct uses Llama 3.2.

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

Gemini 4 Carbon

Proprietary

Closed source

Llama 3.2 90B Instruct

Llama 3.2

Open weights

Release Timeline

When each model was launched

Gemini 4 Carbon was released on 2026-10-28, while Llama 3.2 90B Instruct was released on 2024-09-25.

Gemini 4 Carbon is 25 months newer than Llama 3.2 90B Instruct.

Gemini 4 Carbon

Oct 28, 2026

-2 days ago

2.1yr newer
Llama 3.2 90B Instruct

Sep 25, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 4 Carbon and Llama 3.2 90B Instruct side-by-side, then vote on the output you prefer.

Gemini 4 Carbon
✓ Preferred
Llama 3.2 90B Instruct
Open in Playground

FAQ

Common questions about Gemini 4 Carbon vs Llama 3.2 90B Instruct.

Which is better, Gemini 4 Carbon or Llama 3.2 90B Instruct?

Gemini 4 Carbon leads the LLM Stats Score 59.0 to 4.7. Gemini 4 Carbon is made by Google and Llama 3.2 90B Instruct is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 4 Carbon compare to Llama 3.2 90B Instruct in benchmarks?

Gemini 4 Carbon scores Gray Swan IPI Benchmark: 100.0%, Vending-Bench 2: 100.0%, Graphwalks BFS >128k: 96.2%, WebDev Arena: 88.4%, SEC-bench Pro: 88.2%. Llama 3.2 90B Instruct scores AI2D: 92.3%, DocVQA: 90.1%, MGSM: 86.9%, MMLU: 86.0%, ChartQA: 85.5%.

What are the context window sizes for Gemini 4 Carbon and Llama 3.2 90B Instruct?

Gemini 4 Carbon supports an unknown number of tokens and Llama 3.2 90B 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 4 Carbon and Llama 3.2 90B Instruct?

Key differences include LLM Stats Score (59.0 vs 4.7), licensing (Proprietary vs Llama 3.2). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Carbon and Llama 3.2 90B Instruct?

Gemini 4 Carbon is developed by Google and Llama 3.2 90B Instruct is developed by Meta.

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