GPT-4.1 vs Grok 4.7

OpenAI

68#180

xAI

89#43

Signal-by-Signal Comparison

Signal	GPT-4.1	Delta	Grok 4.7
Capabilities	83	-17	100
Benchmarks	70	-16	86
Pricing	92	-3	95
Context window size	96	+5	90
Recency	37	-63	100
Output Capacity	72	-18	90
Overall Result	1 wins	of 6	5 wins

Grok 4.7 wins 5 of 6 signals

Score History

Score History (32 data points)

GPT-4.1Grok 4.7

GPT-4.1

67.7

current score

Leader

Grok 4.7

right now

Grok 4.7

88.8

current score

LMMarketCap.com

Interactive Price Comparison

Quick presets

Monthly API calls

100Kcalls/month

Avg. input tokens/call

1,000tokens (~1,333 chars)

Avg. output tokens/call

500tokens (~667 chars)

GPT-4.1

OpenAI

Per request$0.006000

Daily$20.00

Monthly$600.00

Annual$7200.00

Grok 4.7

xAI

Best Value

Per request$0.004000

Daily$13.33

Monthly$400.00

Annual$4800.00

Grok 4.7 saves you $200.00/month

That's $2400.00/year compared to GPT-4.1 at your current usage level of 100K calls/month.

33% cheaper

Choose Grok 4.7 for cost optimization

GPT-4.1 pricing:

Input:$2.00/M tokens

Output:$8.00/M tokens

Grok 4.7 pricing:

Input:$1.60/M tokens

Output:$4.80/M tokens

GPT-4.1

OpenAI

Composite Score

Winner

Grok 4.7

xAI

Composite Score

Signal-by-Signal Comparison

Metric	GPT-4.1	Grok 4.7	Winner
Overall Score	68	89	Grok 4.7
Rank	#180	#43	Grok 4.7
Quality Rank	#180	#43	Grok 4.7
Adoption Rank	#180	#43	Grok 4.7
Parameters	--	--	--
Context Window	1048K	500K	GPT-4.1
Pricing	$2.00/$8.00/M	$1.60/$4.80/M	--
Signal Scores
Capabilities	83	100	Grok 4.7
Benchmarks	70	86	Grok 4.7
Pricing	92	95	Grok 4.7
Context window size	96	90	GPT-4.1
Recency	37	100	Grok 4.7
Output Capacity	72	90	Grok 4.7

Benchmark Head-to-Head(13 benchmarks)

GPT-4.1: 0Grok 4.7: 10

GPT-4.1

Grok 4.7

Normalized 0-100%

MMLU

89.2%91.5%

MMLU-Pro

81.8%83.5%

GPQA Diamond

56%82%

MATH-500

78.5%95%

HumanEval

91.5%95.5%

SWE-bench Verified

54.6%70%

AIME 2024

-88%

IFEval

88.2%91%

BBH

84%90%

Arena Elo

13001462

LiveBench

64.5%73%

HLE

5.4%-

BigCodeBench

31.8%-

Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

GPT-4.1Competitive

Scores 68/100 (rank #180), placing it in the top 38% of all 290 models tracked.

Raw Quality0/100

Cost Efficiency0/100

Speed0/100

Grok 4.7Elite Tier

Scores 89/100 (rank #43), placing it in the top 86% of all 290 models tracked.

Raw Quality0/100

Cost Efficiency0/100

Speed0/100

Grok 4.7 has a 21-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose GPT-4.1 when you need:

Processing long documents or large codebases (1048K token context)

Choose Grok 4.7 when you need:

High-volume production workloads where API costs must be minimized
Step-by-step reasoning and chain-of-thought problem solving

Cost-Performance Analysis

GPT-4.1

Input cost$2.00/M tokens

Output cost$8.00/M tokens

Cost per quality point$0.148

Est. monthly (1M tokens/day)$150.00

Grok 4.7Best Value

Input cost$1.60/M tokens

Output cost$4.80/M tokens

Cost per quality point$0.072

Est. monthly (1M tokens/day)$96.00

Grok 4.7 offers 36% better value per quality point. At 1M tokens/day, you'd spend $96.00/month with Grok 4.7 vs $150.00/month with GPT-4.1 - a $54.00 monthly difference.

Latency & Speed

GPT-4.1Faster

Speed score0/100

Grok 4.7

Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

GPT-4.1

Customer support chatbot

Suitable for user-facing chat with competitive response times. Grok 4.7 also offers lower per-token costs for high-volume support

GPT-4.1

Long document analysis

Larger context window (1048K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-4.1

Batch data extraction

Lower output pricing ($4.80/M) reduces costs when processing thousands of records daily

Grok 4.7

Creative writing & content

Higher overall composite score (89/100) correlates with better nuance, coherence, and style in long-form content

Grok 4.7

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

GPT-4.1

Which Should You Choose?

Our recommendation:

Grok 4.7

Grok 4.7 clearly outperforms GPT-4.1 with a significant 21.099999999999994-point lead. For most general use cases, Grok 4.7 is the stronger choice. However, GPT-4.1 may still excel in niche scenarios.

By Use Case

Best for Quality

GPT-4.1

Marginally better benchmark scores; both are excellent

Best for Cost

Grok 4.7

36% lower pricing; better value at scale

Best for Reliability

GPT-4.1

Higher uptime and faster response speeds

Best for Prototyping

GPT-4.1

Stronger community support and better developer experience

Best for Production

GPT-4.1

Wider enterprise adoption and proven at scale

GPT-4.1

by OpenAI

Choose for Quality - Marginally better benchmark scores; both are excellent
Choose for Reliability - Higher uptime and faster response speeds
Choose for Prototyping - Stronger community support and better developer experience
Choose for Production - Wider enterprise adoption and proven at scale