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GPT-4.1 nano vs Grok 4.7

Grok 4.7 leads the LLM Stats Score 48.5 to 1.6. GPT-4.1 nano is 17.1x cheaper per token.

OpenAI · xAI · Updated for 2026

Which is better?

Grok 4.7 leads the overall LLM Stats Score 48.5 to 1.6, ranking #23 overall.

On price, GPT-4.1 nano is roughly 17.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-4.1 nano 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 nano

  • cost matters — it's about 17.1x cheaper per token
  • you process long inputs — it offers a 1,047,576 token context window

Choose Grok 4.7

  • overall performance matters — it scores 48.5 and ranks #23 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

GPT-4.1 nano
OpenAI
Grok 4.7
xAI
Core performance indexes
LLM Stats Score
1.6
#323
48.5
#23
Reasoning
2.0
#311
37.4
#69
Coding
-11.8
#269
40.1
#13
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
$2.00 / M
Output price
$0.40 / M
$6.00 / M
Context window
1,047,576
500,000

Individual benchmarks

24 reported for GPT-4.1 nano · 23 for Grok 4.7

No common benchmarks found

GPT-4.1 nano and Grok 4.7don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

GPT-4.1 nano costs less

For input processing, GPT-4.1 nano ($0.10/1M tokens) is 20.0x cheaper than Grok 4.7 ($2.00/1M tokens).

For output processing, GPT-4.1 nano ($0.40/1M tokens) is 15.0x cheaper than Grok 4.7 ($6.00/1M tokens).

In conclusion, Grok 4.7 is more expensive than GPT-4.1 nano.*

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

Lowest available price from all providers
Tue Sep 22 2026 • llm-stats.com
OpenAI
GPT-4.1 nano
Input tokens$0.10
Output tokens$0.40
Best providerOpenAI
xAI
Grok 4.7
Input tokens$2.00
Output tokens$6.00
Best providerxAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-4.1 nano accepts 1,047,576 input tokens compared to Grok 4.7's 500,000 tokens. Only GPT-4.1 nano specifies output context (32,768 tokens).

OpenAI
GPT-4.1 nano
Input1,047,576 tokens
Output32,768 tokens
xAI
Grok 4.7
Input500,000 tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-4.1 nano and Grok 4.7 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-4.1 nano

Text
Images
Audio
Video

Grok 4.7

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

GPT-4.1 nano

Proprietary

Closed source

Grok 4.7

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-4.1 nano was released on 2025-04-14, while Grok 4.7 was released on 2026-09-21.

Grok 4.7 is 18 months newer than GPT-4.1 nano.

GPT-4.1 nano

Apr 14, 2025

1.4 years ago

Grok 4.7

Sep 21, 2026

1 days ago

1.4yr newer

Knowledge Cutoff

When training data ends

GPT-4.1 nano has a knowledge cutoff of 2024-05-31, while Grok 4.7 has a cutoff of 2026-06-01.

Grok 4.7 has more recent training data (up to 2026-06-01), making it potentially better informed about events through that date compared to GPT-4.1 nano (2024-05-31).

GPT-4.1 nano

May 2024

Grok 4.7

Jun 2026

2.1 yr newer

Provider Availability

GPT-4.1 nano is available from OpenAI. Grok 4.7 is available from xAI.

GPT-4.1 nano

openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

Grok 4.7

xai logo
xAI
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
* 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 GPT-4.1 nano and Grok 4.7 side-by-side, then vote on the output you prefer.

GPT-4.1 nano
✓ Preferred
Grok 4.7
Open in Playground

FAQ

Common questions about GPT-4.1 nano vs Grok 4.7.

Which is better, GPT-4.1 nano or Grok 4.7?

Grok 4.7 leads the LLM Stats Score 48.5 to 1.6. GPT-4.1 nano is made by OpenAI and Grok 4.7 is made by xAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-4.1 nano compare to Grok 4.7 in benchmarks?

GPT-4.1 nano scores MMLU: 80.1%, IFEval: 74.5%, CharXiv-D: 73.9%, MMMLU: 66.9%, Multi-IF: 57.2%. Grok 4.7 scores BixBench MCQ: 88.4%, WMDP-Bio: 88.1%, WMDP-Cyber: 88.1%, WMDP-Chem: 84.9%, CyberGym: 80.3%.

Is GPT-4.1 nano cheaper than Grok 4.7?

GPT-4.1 nano is 20.0x cheaper for input tokens. GPT-4.1 nano costs $0.10/M input and $0.40/M output via openai. Grok 4.7 costs $2.00/M input and $6.00/M output via xai.

What are the context window sizes for GPT-4.1 nano and Grok 4.7?

GPT-4.1 nano supports 1.0M tokens and Grok 4.7 supports 500K 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 nano and Grok 4.7?

Key differences include LLM Stats Score (1.6 vs 48.5), context window (1.0M vs 500K), input pricing ($0.10 vs $2.00/M). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4.1 nano and Grok 4.7?

GPT-4.1 nano is developed by OpenAI and Grok 4.7 is developed by xAI.

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