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Grok-1.5 vs Llama 3.3 70B Instruct

Llama 3.3 70B Instruct leads the LLM Stats Score 13.8 to -2.6.

xAI · Meta · Updated for 2026

Which is better?

Llama 3.3 70B Instruct leads the overall LLM Stats Score 13.8 to -2.6, ranking #242 overall.

In the 5 individual benchmarks reported for both models, Llama 3.3 70B Instruct wins 5; this is a narrower head-to-head signal than the composite indexes.

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

Choose Grok-1.5

  • you are already invested in the xAI ecosystem

Choose Llama 3.3 70B Instruct

  • overall performance matters — it scores 13.8 and ranks #242 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 5 of 5 exact shared results
  • you want the most recent training data — it shipped Dec 2024
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Grok-1.5
xAI
Llama 3.3 70B Instruct
Meta
Core performance indexes
LLM Stats Score
-2.6
#340
13.8
#242
Reasoning
-2.2
#330
11.7
#251
Coding
-0.9
#246
9.3
#173
Cost, coverage & limits
Benchmark wins
0 of 5
5 of 5
Input price
— / M
$0.10 / M
Output price
— / M
$0.20 / M
Context window
—
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Grok-1.5
Llama 3.3 70B Instruct
Math
4.9#276
17.5#193
Finance
4.7#174
14.0#131
Legal
4.7#158
14.0#114
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Grok-1.5 · 9 for Llama 3.3 70B Instruct

5 shared

Grok-1.5 outperforms in 0 benchmarks, while Llama 3.3 70B Instruct is better at 5 benchmarks (GPQA, HumanEval, MATH, MMLU, MMLU-Pro).

Llama 3.3 70B Instruct significantly outperforms across most benchmarks.

Mon Sep 21 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Llama 3.3 70B Instruct specifies input context (131,072 tokens). Only Llama 3.3 70B Instruct specifies output context (131,072 tokens).

xAI
Grok-1.5
Input- tokens
Output- tokens
Meta
Llama 3.3 70B Instruct
Input131,072 tokens
Output131,072 tokens
Mon Sep 21 2026 • llm-stats.com

License

Usage and distribution terms

Grok-1.5 is licensed under a proprietary license, while Llama 3.3 70B Instruct uses Llama 3.3 Community License Agreement.

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

Grok-1.5

Proprietary

Closed source

Llama 3.3 70B Instruct

Llama 3.3 Community License Agreement

Open weights

Release Timeline

When each model was launched

Grok-1.5 was released on 2024-03-28, while Llama 3.3 70B Instruct was released on 2024-12-06.

Llama 3.3 70B Instruct is 8 months newer than Grok-1.5.

Grok-1.5

Mar 28, 2024

2.5 years ago

Llama 3.3 70B Instruct

Dec 6, 2024

1.8 years ago

8mo newer

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?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Grok-1.5 and Llama 3.3 70B Instruct side-by-side, then vote on the output you prefer.

Grok-1.5
✓ Preferred
Llama 3.3 70B Instruct
Open in Playground

FAQ

Common questions about Grok-1.5 vs Llama 3.3 70B Instruct.

Which is better, Grok-1.5 or Llama 3.3 70B Instruct?

Llama 3.3 70B Instruct leads the LLM Stats Score 13.8 to -2.6. Grok-1.5 is made by xAI and Llama 3.3 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 Grok-1.5 compare to Llama 3.3 70B Instruct in benchmarks?

Grok-1.5 scores GSM8k: 90.0%, DocVQA: 85.6%, MMLU: 81.3%, HumanEval: 74.1%, MMMU: 53.6%. Llama 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%.

What are the context window sizes for Grok-1.5 and Llama 3.3 70B Instruct?

Grok-1.5 supports an unknown number of tokens and Llama 3.3 70B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Grok-1.5 and Llama 3.3 70B Instruct?

Key differences include LLM Stats Score (-2.6 vs 13.8), licensing (Proprietary vs Llama 3.3 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes Grok-1.5 and Llama 3.3 70B Instruct?

Grok-1.5 is developed by xAI and Llama 3.3 70B Instruct is developed by Meta.

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