| Signal | Llama 4 Maverick | Delta | o1-pro |
|---|---|---|---|
Capabilities | 67 | -- | |
Pricing | 1 | -99 | |
Context window size | 96 | +11 | |
Recency | 70 | +3 | |
Output Capacity | 70 | -13 | |
| Overall Result | 2 wins | of 5 | 2 wins |
12
days ranked higher
4
days
14
days ranked higher
Meta
OpenAI
Llama 4 Maverick saves you $44955.00/month
That's $539460.00/year compared to o1-pro at your current usage level of 100K calls/month.
| Metric | Llama 4 Maverick | o1-pro | Winner |
|---|---|---|---|
| Overall Score | 74 | 73 | Llama 4 Maverick |
| Rank | #94 | #103 | Llama 4 Maverick |
| Quality Rank | #94 | #103 | Llama 4 Maverick |
| Adoption Rank | #94 | #103 | Llama 4 Maverick |
| Parameters | -- | -- | -- |
| Context Window | 1049K | 200K | Llama 4 Maverick |
| Pricing | $0.15/$0.60/M | $150.00/$600.00/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 67 | Llama 4 Maverick |
| Pricing | 1 | 100 | o1-pro |
| Context window size | 96 | 84 | Llama 4 Maverick |
| Recency | 70 | 67 | Llama 4 Maverick |
| Output Capacity | 70 | 83 | o1-pro |
Our composite score (0–100) combines six weighted signals: benchmark performance (25%), pricing efficiency (25%), context window size (15%), model recency (15%), output capacity (10%), and capability versatility (10%). Here's what the scores mean for these two models:
Scores 74/100 (rank #94), placing it in the top 68% of all 290 models tracked.
Scores 73/100 (rank #103), placing it in the top 65% of all 290 models tracked.
With only a 1-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 100% better value per quality point. At 1M tokens/day, you'd spend $11.25/month with Llama 4 Maverick vs $11250.00/month with o1-pro — a $11238.75 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 (74/100) 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
Llama 4 Maverick and o1-pro are extremely close in overall performance (only 1 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Llama 4 Maverick
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 4 Maverick
100% lower pricing; better value at scale
Best for Reliability
Llama 4 Maverick
Higher uptime and faster response speeds
Best for Prototyping
Llama 4 Maverick
Stronger community support and better developer experience
Best for Production
Llama 4 Maverick
Wider enterprise adoption and proven at scale
by Meta
| Capability | Llama 4 Maverick | o1-pro |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Meta
OpenAI
Llama 4 Maverick saves you $989.01/month
That's 100% cheaper than o1-pro 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 | Llama 4 Maverick | o1-pro |
|---|---|---|
| Context Window | 1.0M | 200K |
| Max Output Tokens | 16,384 | 100,000 |
| Open Source | Yes | No |
| Created | Apr 5, 2025 | Mar 19, 2025 |
Llama 4 Maverick scores 74/100 (rank #94) compared to o1-pro's 73/100 (rank #103), giving it a 1-point advantage. Llama 4 Maverick is the stronger overall choice, though o1-pro may excel in specific areas like certain benchmarks.
Llama 4 Maverick is ranked #94 and o1-pro is ranked #103 out of 290+ AI models. Rankings use a composite score combining benchmark performance (25%), pricing (25%), context window (15%), recency (15%), output capacity (10%), and versatility (10%). Scores update hourly.
Llama 4 Maverick is cheaper at $0.60/M output tokens vs o1-pro's $600.00/M output tokens — 1000.0x more expensive. Input token pricing: Llama 4 Maverick at $0.15/M vs o1-pro at $150.00/M.
Llama 4 Maverick has a larger context window of 1,048,576 tokens compared to o1-pro's 200,000 tokens. A larger context window means the model can process longer documents and conversations.