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GPT-4.1 mini vs Llama 3.3 70B Instruct

GPT-4.1 mini and Llama 3.3 70B Instruct are closely matched at 14.0 and 13.8 on the LLM Stats Score. Llama 3.3 70B Instruct is 5.6x cheaper per token.

OpenAI · Meta · Updated for 2026

Which is better?

GPT-4.1 mini and Llama 3.3 70B Instruct are closely matched on the overall LLM Stats Score at 14.0 and 13.8.

In the 3 individual benchmarks reported for both models, GPT-4.1 mini wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, Llama 3.3 70B Instruct is roughly 5.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-4.1 mini also accepts a larger context window (1,047,576 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 GPT-4.1 mini

  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results
  • you process long inputs — it offers a 1,047,576 token context window
  • you want the most recent training data — it shipped Apr 2025

Choose Llama 3.3 70B Instruct

  • your work emphasizes coding — it leads those capability indexes
  • cost matters — it's about 5.6x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
14.0
#255
13.8
#257
13.9
#248
11.7
#267
-3.4
#268
9.2
#187
Cost, coverage & limits
Benchmark wins
2 of 3
1 of 3
Input price
$0.40 / M
$0.10 / M
Output price
$1.60 / M
$0.20 / M
Context window
1,047,576
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-4.1 mini
Llama 3.3 70B Instruct
13.6#231
17.5#200
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

28 reported for GPT-4.1 mini · 9 for Llama 3.3 70B Instruct

3 shared

GPT-4.1 mini outperforms in 2 benchmarks (GPQA, MMLU), while Llama 3.3 70B Instruct is better at 1 benchmark (IFEval).

GPT-4.1 mini shows notably better performance in the majority of benchmarks.

Thu Oct 15 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Llama 3.3 70B Instruct costs less

For input processing, GPT-4.1 mini ($0.40/1M tokens) is 4.0x more expensive than Llama 3.3 70B Instruct ($0.10/1M tokens).

For output processing, GPT-4.1 mini ($1.60/1M tokens) is 8.0x more expensive than Llama 3.3 70B Instruct ($0.20/1M tokens).

In conclusion, GPT-4.1 mini is more expensive than Llama 3.3 70B Instruct.*

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

Lowest available price from all providers
Thu Oct 15 2026 • llm-stats.com
OpenAI
GPT-4.1 mini
Input tokens$0.40
Output tokens$1.60
Best providerOpenAI
Meta
Llama 3.3 70B Instruct
Input tokens$0.10
Output tokens$0.20
Best providerDeepinfra
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

GPT-4.1 mini accepts 1,047,576 input tokens compared to Llama 3.3 70B Instruct's 131,072 tokens. Llama 3.3 70B Instruct can generate longer responses up to 131,072 tokens, while GPT-4.1 mini is limited to 32,768 tokens.

OpenAI
GPT-4.1 mini
Input1,047,576 tokens
Output32,768 tokens
Meta
Llama 3.3 70B Instruct
Input131,072 tokens
Output131,072 tokens
Thu Oct 15 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-4.1 mini supports multimodal inputs, whereas Llama 3.3 70B Instruct does not.

GPT-4.1 mini can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4.1 mini

Text
Images
Audio
Video

Llama 3.3 70B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4.1 mini 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.

GPT-4.1 mini

Proprietary

Closed source

Llama 3.3 70B Instruct

Llama 3.3 Community License Agreement

Open weights

Release Timeline

When each model was launched

GPT-4.1 mini was released on 2025-04-14, while Llama 3.3 70B Instruct was released on 2024-12-06.

GPT-4.1 mini is 4 months newer than Llama 3.3 70B Instruct.

GPT-4.1 mini

Apr 14, 2025

1.5 years ago

4mo newer
Llama 3.3 70B Instruct

Dec 6, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

GPT-4.1 mini has a documented knowledge cutoff of 2024-05-31, while Llama 3.3 70B Instruct's cutoff date is not specified.

We can confirm GPT-4.1 mini's training data extends to 2024-05-31, but cannot make a direct comparison without Llama 3.3 70B Instruct's cutoff date.

GPT-4.1 mini

May 2024

Llama 3.3 70B Instruct

—

Provider Availability

GPT-4.1 mini is available from OpenAI. Llama 3.3 70B Instruct is available from DeepInfra, Lambda, Hyperbolic, Groq, Sambanova, Cerebras, Bedrock, Together, Fireworks.

GPT-4.1 mini

openai logo
OpenAI
Input Price:Input: $0.40/1MOutput Price:Output: $1.60/1M

Llama 3.3 70B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.32/1M
lambda logo
Lambda
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
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: $7.90/1M
sambanova logo
Sambanova
Input Price:Input: $0.60/1MOutput Price:Output: $1.20/1M
cerebras logo
Cerebras
Input Price:Input: $0.70/1MOutput Price:Output: $0.80/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.72/1MOutput Price:Output: $0.72/1M
together logo
Together
Input Price:Input: $0.88/1MOutput Price:Output: $0.88/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-4.1 mini and Llama 3.3 70B Instruct side-by-side, then vote on the output you prefer.

GPT-4.1 mini
✓ Preferred
Llama 3.3 70B Instruct
Open in Playground

FAQ

Common questions about GPT-4.1 mini vs Llama 3.3 70B Instruct.

Which is better, GPT-4.1 mini or Llama 3.3 70B Instruct?

GPT-4.1 mini and Llama 3.3 70B Instruct are closely matched on the LLM Stats Score at 14.0 and 13.8. GPT-4.1 mini is made by OpenAI 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 GPT-4.1 mini compare to Llama 3.3 70B Instruct in benchmarks?

GPT-4.1 mini scores CharXiv-D: 88.4%, MMLU: 87.5%, IFEval: 84.1%, MMMLU: 78.5%, MathVista: 73.1%. Llama 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%.

Is GPT-4.1 mini cheaper than Llama 3.3 70B Instruct?

Llama 3.3 70B Instruct is 4.0x cheaper for input tokens. GPT-4.1 mini costs $0.40/M input and $1.60/M output via openai. Llama 3.3 70B Instruct costs $0.10/M input and $0.20/M output via deepinfra.

What are the context window sizes for GPT-4.1 mini and Llama 3.3 70B Instruct?

GPT-4.1 mini supports 1.0M 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 GPT-4.1 mini and Llama 3.3 70B Instruct?

Key differences include LLM Stats Score (14.0 vs 13.8), context window (1.0M vs 131K), input pricing ($0.40 vs $0.10/M), multimodal support (yes vs no), licensing (Proprietary vs Llama 3.3 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4.1 mini and Llama 3.3 70B Instruct?

GPT-4.1 mini is developed by OpenAI and Llama 3.3 70B Instruct is developed by Meta.