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Llama 3.1 8B Instruct vs Llama 3.2 3B Instruct

Llama 3.1 8B Instruct and Llama 3.2 3B Instruct are closely matched at -3.1 and -6.6 on the LLM Stats Score. Llama 3.2 3B Instruct is 1.8x cheaper per token.

Meta · Meta · Updated for 2026

Which is better?

Llama 3.1 8B Instruct and Llama 3.2 3B Instruct are closely matched on the overall LLM Stats Score at -3.1 and -6.6.

In the 5 individual benchmarks reported for both models, Llama 3.1 8B Instruct wins 4; this is a narrower head-to-head signal than the composite indexes.

On price, Llama 3.2 3B Instruct is roughly 1.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Llama 3.1 8B Instruct 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 Llama 3.1 8B Instruct

  • you value its reported benchmark strengths — it wins 4 of 5 exact shared results
  • you process long inputs — it offers a 131,072 token context window

Choose Llama 3.2 3B Instruct

  • cost matters — it's about 1.8x cheaper per token
  • you want the most recent training data — it shipped Sep 2024

At a glance

The differences that matter most.

Core performance indexes
-3.1
#380
-6.6
#401
-4.1
#378
-7.2
#395
Cost, coverage & limits
Benchmark wins
4 of 5
1 of 5
Input price
$0.02 / M
$0.01 / M
Output price
$0.03 / M
$0.02 / M
Context window
131,072
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Llama 3.1 8B Instruct
Llama 3.2 3B Instruct
-2.6#335
-3.8#337
17.0#95
4.7#188
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for Llama 3.1 8B Instruct · 15 for Llama 3.2 3B Instruct

5 shared

Llama 3.1 8B Instruct outperforms in 4 benchmarks (ARC-C, IFEval, MMLU, Nexus), while Llama 3.2 3B Instruct is better at 1 benchmark (GPQA).

Llama 3.1 8B Instruct significantly outperforms across most benchmarks.

Sun Nov 08 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Llama 3.2 3B Instruct costs less

For input processing, Llama 3.1 8B Instruct ($0.02/1M tokens) is 2.0x more expensive than Llama 3.2 3B Instruct ($0.01/1M tokens).

For output processing, Llama 3.1 8B Instruct ($0.03/1M tokens) is 1.5x more expensive than Llama 3.2 3B Instruct ($0.02/1M tokens).

In conclusion, Llama 3.1 8B Instruct 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
Sun Nov 08 2026 • llm-stats.com
Meta
Llama 3.1 8B Instruct
Input tokens$0.02
Output tokens$0.03
Best providerDeepinfra
Meta
Llama 3.2 3B Instruct
Input tokens$0.01
Output tokens$0.02
Best providerDeepinfra
Notice missing or incorrect data?

Model Size

Parameter count comparison

4.8B diff

Llama 3.1 8B Instruct has 4.8B more parameters than Llama 3.2 3B Instruct, making it 149.2% larger.

Meta
Llama 3.1 8B Instruct
8.0Bparameters
Meta
Llama 3.2 3B Instruct
3.2Bparameters
8.0B
Llama 3.1 8B Instruct
3.2B
Llama 3.2 3B Instruct

Context Window

Maximum input and output token capacity

Llama 3.1 8B Instruct accepts 131,072 input tokens compared to Llama 3.2 3B Instruct's 128,000 tokens. Llama 3.1 8B Instruct can generate longer responses up to 131,072 tokens, while Llama 3.2 3B Instruct is limited to 128,000 tokens.

Meta
Llama 3.1 8B Instruct
Input131,072 tokens
Output131,072 tokens
Meta
Llama 3.2 3B Instruct
Input128,000 tokens
Output128,000 tokens
Sun Nov 08 2026 • llm-stats.com

License

Usage and distribution terms

Llama 3.1 8B Instruct is licensed under Llama 3.1 Community 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.

Llama 3.1 8B Instruct

Llama 3.1 Community License

Open weights

Llama 3.2 3B Instruct

Llama 3.2 Community License

Open weights

Release Timeline

When each model was launched

Llama 3.1 8B Instruct was released on 2024-07-23, while Llama 3.2 3B Instruct was released on 2024-09-25.

Llama 3.2 3B Instruct is 2 months newer than Llama 3.1 8B Instruct.

Llama 3.1 8B Instruct

Jul 23, 2024

2.3 years ago

Llama 3.2 3B Instruct

Sep 25, 2024

2.1 years ago

2mo newer

Knowledge Cutoff

When training data ends

Llama 3.1 8B Instruct has a documented knowledge cutoff of 2023-12-31, while Llama 3.2 3B Instruct's cutoff date is not specified.

We can confirm Llama 3.1 8B Instruct's training data extends to 2023-12-31, but cannot make a direct comparison without Llama 3.2 3B Instruct's cutoff date.

Llama 3.1 8B Instruct

Dec 2023

Llama 3.2 3B Instruct

—

Provider Availability

Llama 3.1 8B Instruct is available from DeepInfra, Lambda, Groq, Sambanova, Cerebras, Hyperbolic, Together, Fireworks, Bedrock. Llama 3.2 3B Instruct is available from DeepInfra.

Llama 3.1 8B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.02/1MOutput Price:Output: $0.04/1M
lambda logo
Lambda
Input Price:Input: $0.03/1MOutput Price:Output: $0.03/1M
groq logo
Groq
Input Price:Input: $0.05/1MOutput Price:Output: $0.08/1M
sambanova logo
Sambanova
Input Price:Input: $0.10/1MOutput Price:Output: $0.20/1M
cerebras logo
Cerebras
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
together logo
Together
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.22/1MOutput Price:Output: $0.22/1M

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?

Judge for yourself.

Run your own prompts against Llama 3.1 8B Instruct and Llama 3.2 3B Instruct side-by-side, then vote on the output you prefer.

Llama 3.1 8B Instruct
✓ Preferred
Llama 3.2 3B Instruct
Open in Playground

FAQ

Common questions about Llama 3.1 8B Instruct vs Llama 3.2 3B Instruct.

Which is better, Llama 3.1 8B Instruct or Llama 3.2 3B Instruct?

Llama 3.1 8B Instruct and Llama 3.2 3B Instruct are closely matched on the LLM Stats Score at -3.1 and -6.6. Llama 3.1 8B Instruct is made by Meta and Llama 3.2 3B 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 Llama 3.1 8B Instruct compare to Llama 3.2 3B Instruct in benchmarks?

Llama 3.1 8B Instruct scores GSM-8K (CoT): 84.5%, ARC-C: 83.4%, API-Bank: 82.6%, IFEval: 80.4%, BFCL: 76.1%. 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 Llama 3.1 8B Instruct cheaper than Llama 3.2 3B Instruct?

Llama 3.2 3B Instruct is 2.0x cheaper for input tokens. Llama 3.1 8B Instruct costs $0.02/M input and $0.03/M output via deepinfra. Llama 3.2 3B Instruct costs $0.01/M input and $0.02/M output via deepinfra.

What are the context window sizes for Llama 3.1 8B Instruct and Llama 3.2 3B Instruct?

Llama 3.1 8B Instruct supports 131K 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 Llama 3.1 8B Instruct and Llama 3.2 3B Instruct?

Key differences include LLM Stats Score (-3.1 vs -6.6), context window (131K vs 128K), input pricing ($0.02 vs $0.01/M), licensing (Llama 3.1 Community License vs Llama 3.2 Community License). See the full comparison above for benchmark-by-benchmark results.