Model Comparison

Grok-1.5 vs Llama 3.1 8B Instruct

Grok-1.5 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Grok-1.5 outperforms in 4 benchmarks (GPQA, HumanEval, MMLU, MMLU-Pro), while Llama 3.1 8B Instruct is better at 0 benchmarks.

Grok-1.5 significantly outperforms across most benchmarks.

Wed Apr 08 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Wed Apr 08 2026 • llm-stats.com
xAI
Grok-1.5
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Meta
Llama 3.1 8B Instruct
Input tokens$0.03
Output tokens$0.03
Best providerLambda
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only Llama 3.1 8B Instruct specifies input context (131,072 tokens). Only Llama 3.1 8B Instruct specifies output context (131,072 tokens).

xAI
Grok-1.5
Input- tokens
Output- tokens
Meta
Llama 3.1 8B Instruct
Input131,072 tokens
Output131,072 tokens
Wed Apr 08 2026 • llm-stats.com

License

Usage and distribution terms

Grok-1.5 is licensed under a proprietary license, while Llama 3.1 8B Instruct uses Llama 3.1 Community License.

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

Grok-1.5

Proprietary

Closed source

Llama 3.1 8B Instruct

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

Grok-1.5 was released on 2024-03-28, while Llama 3.1 8B Instruct was released on 2024-07-23.

Llama 3.1 8B Instruct is 4 months newer than Grok-1.5.

Grok-1.5

Mar 28, 2024

2.0 years ago

Llama 3.1 8B Instruct

Jul 23, 2024

1.7 years ago

3mo newer

Knowledge Cutoff

When training data ends

Llama 3.1 8B Instruct has a documented knowledge cutoff of 2023-12-31, while Grok-1.5'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 Grok-1.5's cutoff date.

Grok-1.5

—

Llama 3.1 8B Instruct

Dec 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

xAI
Higher GPQA score (35.9% vs 30.4%)
Higher HumanEval score (74.1% vs 72.6%)
Higher MMLU score (81.3% vs 69.4%)
Higher MMLU-Pro score (51.0% vs 48.3%)
Meta
Larger context window (131,072 tokens)
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
xAI
Grok-1.5
Meta
Llama 3.1 8B Instruct

FAQ

Common questions about Grok-1.5 vs Llama 3.1 8B Instruct

Grok-1.5 significantly outperforms across most benchmarks. Grok-1.5 is made by xAI and Llama 3.1 8B Instruct is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Grok-1.5 scores GSM8k: 90.0%, DocVQA: 85.6%, MMLU: 81.3%, HumanEval: 74.1%, MMMU: 53.6%. 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%.
Grok-1.5 supports an unknown number of tokens and Llama 3.1 8B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (Proprietary vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.
Grok-1.5 is developed by xAI and Llama 3.1 8B Instruct is developed by Meta.