| Signal | Claude Sonnet 4.5 | Delta | Llama 4 Maverick |
|---|---|---|---|
Capabilities | 100 | +33 | |
Benchmarks | 82 | +12 | |
Pricing | 85 | -14 | |
Context window size | 95 | 0 | |
Recency | 98 | +32 | |
Output Capacity | 80 | +10 | |
| Overall Result | 4 wins | of 6 | 2 wins |
Score History
82.4
current score
Claude Sonnet 4.5
right now
67.9
current score
Anthropic
Meta
Llama 4 Maverick saves you $1005.00/month
That's $12060.00/year compared to Claude Sonnet 4.5 at your current usage level of 100K calls/month.
| Metric | Claude Sonnet 4.5 | Llama 4 Maverick | Winner |
|---|---|---|---|
| Overall Score | 82 | 68 | Claude Sonnet 4.5 |
| Rank | #29 | #89 | Claude Sonnet 4.5 |
| Quality Rank | #29 | #89 | Claude Sonnet 4.5 |
| Adoption Rank | #29 | #89 | Claude Sonnet 4.5 |
| Parameters | -- | -- | -- |
| Context Window | 1000K | 1049K | Llama 4 Maverick |
| Pricing | $3.00/$15.00/M | $0.15/$0.60/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 67 | Claude Sonnet 4.5 |
| Benchmarks | 82 | 70 | Claude Sonnet 4.5 |
| Pricing | 85 | 99 | Llama 4 Maverick |
| Context window size | 95 | 96 | Llama 4 Maverick |
| Recency | 98 | 66 | Claude Sonnet 4.5 |
| Output Capacity | 80 | 70 | Claude Sonnet 4.5 |
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 82/100 (rank #29), placing it in the top 90% of all 290 models tracked.
Scores 68/100 (rank #89), placing it in the top 70% of all 290 models tracked.
Claude Sonnet 4.5 has a 15-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Llama 4 Maverick offers 96% better value per quality point. At 1M tokens/day, you'd spend $11.25/month with Llama 4 Maverick vs $270.00/month with Claude Sonnet 4.5 - a $258.75 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 (82/100) 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
Claude Sonnet 4.5 clearly outperforms Llama 4 Maverick with a significant 14.5-point lead. For most general use cases, Claude Sonnet 4.5 is the stronger choice. However, Llama 4 Maverick may still excel in niche scenarios.
Best for Quality
Claude Sonnet 4.5
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 4 Maverick
96% lower pricing; better value at scale
Best for Reliability
Claude Sonnet 4.5
Higher uptime and faster response speeds
Best for Prototyping
Claude Sonnet 4.5
Stronger community support and better developer experience
Best for Production
Claude Sonnet 4.5
Wider enterprise adoption and proven at scale
by Anthropic
| Capability | Claude Sonnet 4.5 | Llama 4 Maverick |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
Anthropic
Meta
Llama 4 Maverick saves you $22.41/month
That's 96% cheaper than Claude Sonnet 4.5 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 | Claude Sonnet 4.5 | Llama 4 Maverick |
|---|---|---|
| Context Window | 1M | 1.0M |
| Max Output Tokens | 64,000 | 16,384 |
| Open Source | No | Yes |
| Created | Sep 29, 2025 | Apr 5, 2025 |
Claude Sonnet 4.5 scores 82/100 (rank #29) compared to Llama 4 Maverick's 68/100 (rank #89), giving it a 15-point advantage. Claude Sonnet 4.5 is the stronger overall choice, though Llama 4 Maverick may excel in specific areas like cost efficiency.
Claude Sonnet 4.5 is ranked #29 and Llama 4 Maverick is ranked #89 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 Claude Sonnet 4.5's $15.00/M output tokens - 25.0x more expensive. Input token pricing: Claude Sonnet 4.5 at $3.00/M vs Llama 4 Maverick at $0.15/M.
Llama 4 Maverick has a larger context window of 1,048,576 tokens compared to Claude Sonnet 4.5's 1,000,000 tokens. A larger context window means the model can process longer documents and conversations.