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GPT-4.1 vs Llama 4 Maverick

GPT-4.1

OpenAI

68#127
vs
Signal-by-Signal Comparison
SignalGPT-4.1DeltaLlama 4 Maverick
Capabilities
83
+17
67
Benchmarks
70
+0
70
Pricing
92
-7
99
Context window size
96
--
96
Recency
47
+2
46
Output Capacity
75
+5
70
Overall Result
4 wins
of 6
1 wins
GPT-4.1 wins 4 of 6 signals

Score History

Score History (24 data points)
GPT-4.1Llama 4 Maverick
GPT-4.1

67.7

current score

Leader

Llama 4 Maverick

right now

Llama 4 Maverick

67.9

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

GPT-4.1

OpenAI

Per request$0.006000
Daily$20.00
Monthly$600.00
Annual$7200.00

Llama 4 Maverick

Meta

Best Value
Per request$0.000600
Daily$2.00
Monthly$60.00
Annual$720.00

Llama 4 Maverick saves you $540.00/month

That's $6480.00/year compared to GPT-4.1 at your current usage level of 100K calls/month.

90% cheaper
Choose Llama 4 Maverick for cost optimization

GPT-4.1 pricing:
Input:$2.00/M tokens
Output:$8.00/M tokens
Llama 4 Maverick pricing:
Input:$0.20/M tokens
Output:$0.80/M tokens
GPT-4.1

OpenAI

68

Composite Score

Winner
Llama 4 Maverick

Meta

68

Composite Score

Signal-by-Signal Comparison
MetricGPT-4.1Llama 4 MaverickWinner
Overall Score
68
68
Llama 4 Maverick
Rank#127#126
Llama 4 Maverick
Quality Rank#127#126
Llama 4 Maverick
Adoption Rank#127#126
Llama 4 Maverick
Parameters------
Context Window1048K1049K
Llama 4 Maverick
Pricing$2.00/$8.00/M$0.20/$0.80/M--
Signal Scores
Capabilities
83
67
GPT-4.1
Benchmarks
70
70
GPT-4.1
Pricing
92
99
Llama 4 Maverick
Context window size
96
96
GPT-4.1
Recency
47
46
GPT-4.1
Output Capacity
75
70
GPT-4.1
Benchmark Head-to-Head(12 benchmarks)
GPT-4.1: 6Llama 4: 6
GPT-4.1
Llama 4
Normalized 0-100%
MMLU
89.2%88%
MMLU-Pro
81.8%80.5%
GPQA Diamond
56%69.8%
MATH-500
78.5%81%
HumanEval
91.5%89.5%
SWE-bench Verified
54.6%21%
IFEval
88.2%88%
BBH
84%84.5%
Arena Elo
13001325
LiveBench
64.5%62%
HLE
5.4%5.68%
BigCodeBench
31.8%49.7%
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 #127), placing it in the top 57% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Llama 4 MaverickCompetitive

Scores 68/100 (rank #126), placing it in the top 57% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose GPT-4.1 when you need:

  • Budget-friendly applications with moderate quality requirements

Choose Llama 4 Maverick when you need:

  • High-volume production workloads where API costs must be minimized
  • Self-hosted deployments where you need full control over the model
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
Llama 4 MaverickBest Value
Input cost$0.20/M tokens
Output cost$0.80/M tokens
Cost per quality point$0.015
Est. monthly (1M tokens/day)$15.00

Llama 4 Maverick offers 90% better value per quality point. At 1M tokens/day, you'd spend $15.00/month with Llama 4 Maverick vs $150.00/month with GPT-4.1 - a $135.00 monthly difference.

Latency & Speed
GPT-4.1Faster
Speed score0/100
Llama 4 Maverick
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. Llama 4 Maverick also offers lower per-token costs for high-volume support

GPT-4.1

Long document analysis

Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass

Llama 4 Maverick

Batch data extraction

Lower output pricing ($0.80/M) reduces costs when processing thousands of records daily

Llama 4 Maverick

Creative writing & content

Higher overall composite score (68/100) correlates with better nuance, coherence, and style in long-form content

Llama 4 Maverick

Image understanding & OCR

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

GPT-4.1
Which Should You Choose?
Our recommendation:
Llama 4 Maverick

GPT-4.1 and Llama 4 Maverick are extremely close in overall performance (only 0.20000000000000284 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

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
Llama 4 Maverick
Recommended

by Meta

  • Choose for Cost - 90% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-4.1Llama 4 Maverick
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-4.1

OpenAI

$13.20
estimated monthly cost

Llama 4 Maverick

Meta

Best Value
$1.32
estimated monthly cost

Llama 4 Maverick saves you $11.88/month

That's 90% cheaper than GPT-4.1 at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterGPT-4.1Llama 4 Maverick
Context Window1.0M1.0M
Max Output Tokens32,76816,384
Open SourceNoYes
CreatedApr 14, 2025Apr 5, 2025
Last updated: 4m ago

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