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Gemma 3n E4B Instructed vs Llama 3.1 70B Instruct

Llama 3.1 70B Instruct leads the LLM Stats Score 7.7 to -4.6. Llama 3.1 70B Instruct is 125.0x cheaper per token.

Google · Meta · Updated for 2026

Which is better?

Llama 3.1 70B Instruct leads the overall LLM Stats Score 7.7 to -4.6, ranking #284 overall.

In the 4 individual benchmarks reported for both models, Llama 3.1 70B Instruct wins 4; this is a narrower head-to-head signal than the composite indexes.

On price, Llama 3.1 70B Instruct is roughly 125.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Llama 3.1 70B Instruct also accepts a larger context window (128,000 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 Gemma 3n E4B Instructed

  • you want the most recent training data — it shipped Jun 2025

Choose Llama 3.1 70B Instruct

  • overall performance matters — it scores 7.7 and ranks #284 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 4 of 4 exact shared results
  • cost matters — it's about 125.0x cheaper per token
  • you process long inputs — it offers a 128,000 token context window
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
-4.6
#348
7.7
#284
-5.5
#347
6.4
#286
-0.1
#240
3.6
#213
Cost, coverage & limits
Benchmark wins
0 of 4
4 of 4
Input price
$20.00 / M
$0.20 / M
Output price
$40.00 / M
$0.20 / M
Context window
32,000
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Gemma 3n E4B Instructed
Llama 3.1 70B Instruct
-1.8#305
11.4#239
-4.4#213
9.3#148
-4.4#197
9.3#130
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for Gemma 3n E4B Instructed · 18 for Llama 3.1 70B Instruct

4 shared

Gemma 3n E4B Instructed outperforms in 0 benchmarks, while Llama 3.1 70B Instruct is better at 4 benchmarks (GPQA, HumanEval, MMLU, MMLU-Pro).

Llama 3.1 70B Instruct significantly outperforms across most benchmarks.

Thu Sep 10 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Llama 3.1 70B Instruct costs less

For input processing, Gemma 3n E4B Instructed ($20.00/1M tokens) is 100.0x more expensive than Llama 3.1 70B Instruct ($0.20/1M tokens).

For output processing, Gemma 3n E4B Instructed ($40.00/1M tokens) is 200.0x more expensive than Llama 3.1 70B Instruct ($0.20/1M tokens).

In conclusion, Gemma 3n E4B Instructed is more expensive than Llama 3.1 70B Instruct.*

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

Lowest available price from all providers
Thu Sep 10 2026 • llm-stats.com
Google
Gemma 3n E4B Instructed
Input tokens$20.00
Output tokens$40.00
Best providerTogether
Meta
Llama 3.1 70B Instruct
Input tokens$0.20
Output tokens$0.20
Best providerLambda
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

62.0B diff

Llama 3.1 70B Instruct has 62.0B more parameters than Gemma 3n E4B Instructed, making it 775.0% larger.

Google
Gemma 3n E4B Instructed
8.0Bparameters
Meta
Llama 3.1 70B Instruct
70.0Bparameters
8.0B
Gemma 3n E4B Instructed
70.0B
Llama 3.1 70B Instruct

Context Window

Maximum input and output token capacity

Llama 3.1 70B Instruct accepts 128,000 input tokens compared to Gemma 3n E4B Instructed's 32,000 tokens. Llama 3.1 70B Instruct can generate longer responses up to 128,000 tokens, while Gemma 3n E4B Instructed is limited to 32,000 tokens.

Google
Gemma 3n E4B Instructed
Input32,000 tokens
Output32,000 tokens
Meta
Llama 3.1 70B Instruct
Input128,000 tokens
Output128,000 tokens
Thu Sep 10 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemma 3n E4B Instructed supports multimodal inputs, whereas Llama 3.1 70B Instruct does not.

Gemma 3n E4B Instructed can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3n E4B Instructed

Text
Images
Audio
Video

Llama 3.1 70B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B Instructed is licensed under a proprietary license, while Llama 3.1 70B Instruct uses Llama 3.1 Community License.

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

Gemma 3n E4B Instructed

Proprietary

Closed source

Llama 3.1 70B Instruct

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B Instructed was released on 2025-06-26, while Llama 3.1 70B Instruct was released on 2024-07-23.

Gemma 3n E4B Instructed is 11 months newer than Llama 3.1 70B Instruct.

Gemma 3n E4B Instructed

Jun 26, 2025

1.2 years ago

11mo newer
Llama 3.1 70B Instruct

Jul 23, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E4B Instructed has a documented knowledge cutoff of 2024-06-01, while Llama 3.1 70B Instruct's cutoff date is not specified.

We can confirm Gemma 3n E4B Instructed's training data extends to 2024-06-01, but cannot make a direct comparison without Llama 3.1 70B Instruct's cutoff date.

Gemma 3n E4B Instructed

Jun 2024

Llama 3.1 70B Instruct

Provider Availability

Gemma 3n E4B Instructed is available from Together. Llama 3.1 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Cerebras, Together, Fireworks, Bedrock, Sambanova.

Gemma 3n E4B Instructed

together logo
Together
Input Price:Input: $20.00/1MOutput Price:Output: $40.00/1M

Llama 3.1 70B Instruct

lambda logo
Lambda
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.35/1MOutput Price:Output: $0.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.40/1MOutput Price:Output: $0.40/1M
groq logo
Groq
Input Price:Input: $0.59/1MOutput Price:Output: $0.78/1M
cerebras logo
Cerebras
Input Price:Input: $0.60/1MOutput Price:Output: $0.60/1M
together logo
Together
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
sambanova logo
Sambanova
Input Price:Input: $5.00/1MOutput Price:Output: $10.00/1M
* 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 Gemma 3n E4B Instructed and Llama 3.1 70B Instruct side-by-side, then vote on the output you prefer.

Gemma 3n E4B Instructed
✓ Preferred
Llama 3.1 70B Instruct
Open in Playground

FAQ

Common questions about Gemma 3n E4B Instructed vs Llama 3.1 70B Instruct.

Which is better, Gemma 3n E4B Instructed or Llama 3.1 70B Instruct?

Llama 3.1 70B Instruct leads the LLM Stats Score 7.7 to -4.6. Gemma 3n E4B Instructed is made by Google and Llama 3.1 70B 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 Gemma 3n E4B Instructed compare to Llama 3.1 70B Instruct in benchmarks?

Gemma 3n E4B Instructed scores HumanEval: 75.0%, MGSM: 67.0%, MMLU: 64.9%, Global-MMLU-Lite: 64.5%, MBPP: 63.6%. Llama 3.1 70B Instruct scores GSM-8K (CoT): 95.1%, ARC-C: 94.8%, API-Bank: 90.0%, IFEval: 87.5%, Multilingual MGSM (CoT): 86.9%.

Is Gemma 3n E4B Instructed cheaper than Llama 3.1 70B Instruct?

Llama 3.1 70B Instruct is 100.0x cheaper for input tokens. Gemma 3n E4B Instructed costs $20.00/M input and $40.00/M output via together. Llama 3.1 70B Instruct costs $0.20/M input and $0.20/M output via lambda.

What are the context window sizes for Gemma 3n E4B Instructed and Llama 3.1 70B Instruct?

Gemma 3n E4B Instructed supports 32K tokens and Llama 3.1 70B 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 Gemma 3n E4B Instructed and Llama 3.1 70B Instruct?

Key differences include LLM Stats Score (-4.6 vs 7.7), context window (32K vs 128K), input pricing ($20.00 vs $0.20/M), multimodal support (yes vs no), licensing (Proprietary vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E4B Instructed and Llama 3.1 70B Instruct?

Gemma 3n E4B Instructed is developed by Google and Llama 3.1 70B Instruct is developed by Meta.