| Signal | GPT-4.1 | Delta | Llama 4 Maverick |
|---|---|---|---|
Capabilities | 83 | +17 | |
Benchmarks | 70 | +0 | |
Pricing | 92 | -7 | |
Context window size | 96 | -- | |
Recency | 68 | +2 | |
Output Capacity | 75 | +5 | |
| Overall Result | 4 wins | of 6 | 1 wins |
Score History
67.7
current score
Llama 4 Maverick
right now
67.9
current score
OpenAI
Meta
Llama 4 Maverick saves you $555.00/month
That's $6660.00/year compared to GPT-4.1 at your current usage level of 100K calls/month.
| Metric | GPT-4.1 | Llama 4 Maverick | Winner |
|---|---|---|---|
| Overall Score | 68 | 68 | Llama 4 Maverick |
| Rank | #68 | #66 | Llama 4 Maverick |
| Quality Rank | #68 | #66 | Llama 4 Maverick |
| Adoption Rank | #68 | #66 | Llama 4 Maverick |
| Parameters | -- | -- | -- |
| Context Window | 1048K | 1049K | Llama 4 Maverick |
| Pricing | $2.00/$8.00/M | $0.15/$0.60/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 | 68 | 67 | GPT-4.1 |
| Output Capacity | 75 | 70 | GPT-4.1 |
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.
Scores 68/100 (rank #68), placing it in the top 77% of all 290 models tracked.
Scores 68/100 (rank #66), placing it in the top 78% of all 290 models tracked.
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.
Llama 4 Maverick offers 93% better value per quality point. At 1M tokens/day, you'd spend $11.25/month with Llama 4 Maverick vs $150.00/month with GPT-4.1 - a $138.75 monthly difference.
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.
Code generation & review
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. Llama 4 Maverick also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.60/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (68/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
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.
Best for Quality
GPT-4.1
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 4 Maverick
93% 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
by OpenAI
| Capability | GPT-4.1 | Llama 4 Maverick |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Meta
Llama 4 Maverick saves you $12.21/month
That's 93% 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.
| Parameter | GPT-4.1 | Llama 4 Maverick |
|---|---|---|
| Context Window | 1.0M | 1.0M |
| Max Output Tokens | 32,768 | 16,384 |
| Open Source | No | Yes |
| Created | Apr 14, 2025 | Apr 5, 2025 |
Llama 4 Maverick scores 68/100 (rank #66) compared to GPT-4.1's 68/100 (rank #68), giving it a 0-point advantage. Llama 4 Maverick is the stronger overall choice, though GPT-4.1 may excel in specific areas like certain benchmarks.
GPT-4.1 is ranked #68 and Llama 4 Maverick is ranked #66 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
Llama 4 Maverick is cheaper at $0.60/M output tokens vs GPT-4.1's $8.00/M output tokens - 13.3x more expensive. Input token pricing: GPT-4.1 at $2.00/M vs Llama 4 Maverick at $0.15/M.
Llama 4 Maverick has a larger context window of 1,048,576 tokens compared to GPT-4.1's 1,047,576 tokens. A larger context window means the model can process longer documents and conversations.