| Signal | Claude Sonnet 4 | Delta | Llama 3.2 11B Vision Instruct |
|---|---|---|---|
Capabilities | 83 | +33 | |
Benchmarks | 75 | +75 | |
Pricing | 85 | -15 | |
Context window size | 95 | +14 | |
Recency | 69 | +44 | |
Output Capacity | 80 | +10 | |
| Overall Result | 5 wins | of 6 | 1 wins |
Score History
74.4
current score
Claude Sonnet 4
right now
40
current score
Anthropic
Meta
Llama 3.2 11B Vision Instruct saves you $1013.25/month
That's $12159.00/year compared to Claude Sonnet 4 at your current usage level of 100K calls/month.
| Metric | Claude Sonnet 4 | Llama 3.2 11B Vision Instruct | Winner |
|---|---|---|---|
| Overall Score | 74 | 40 | Claude Sonnet 4 |
| Rank | #69 | #304 | Claude Sonnet 4 |
| Quality Rank | #69 | #304 | Claude Sonnet 4 |
| Adoption Rank | #69 | #304 | Claude Sonnet 4 |
| Parameters | -- | 11B | -- |
| Context Window | 1000K | 131K | Claude Sonnet 4 |
| Pricing | $3.00/$15.00/M | $0.24/$0.24/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 50 | Claude Sonnet 4 |
| Benchmarks | 75 | -- | Claude Sonnet 4 |
| Pricing | 85 | 100 | Llama 3.2 11B Vision Instruct |
| Context window size | 95 | 81 | Claude Sonnet 4 |
| Recency | 69 | 25 | Claude Sonnet 4 |
| Output Capacity | 80 | 70 | Claude Sonnet 4 |
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 74/100 (rank #69), placing it in the top 77% of all 290 models tracked.
Scores 40/100 (rank #304), placing it in the top -4% of all 290 models tracked.
Claude Sonnet 4 has a 34-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Llama 3.2 11B Vision Instruct offers 97% better value per quality point. At 1M tokens/day, you'd spend $7.35/month with Llama 3.2 11B Vision Instruct vs $270.00/month with Claude Sonnet 4 - a $262.65 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
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Llama 3.2 11B Vision Instruct also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.24/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
Claude Sonnet 4 clearly outperforms Llama 3.2 11B Vision Instruct with a significant 34.400000000000006-point lead. For most general use cases, Claude Sonnet 4 is the stronger choice. However, Llama 3.2 11B Vision Instruct may still excel in niche scenarios.
Best for Quality
Claude Sonnet 4
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 3.2 11B Vision Instruct
97% lower pricing; better value at scale
Best for Reliability
Claude Sonnet 4
Higher uptime and faster response speeds
Best for Prototyping
Claude Sonnet 4
Stronger community support and better developer experience
Best for Production
Claude Sonnet 4
Wider enterprise adoption and proven at scale
by Anthropic
| Capability | Claude Sonnet 4 | Llama 3.2 11B Vision Instruct |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
Anthropic
Meta
Llama 3.2 11B Vision Instruct saves you $22.66/month
That's 97% cheaper than Claude Sonnet 4 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 | Llama 3.2 11B Vision Instruct |
|---|---|---|
| Context Window | 1M | 131K |
| Max Output Tokens | 64,000 | 16,384 |
| Open Source | No | Yes |
| Created | May 22, 2025 | Sep 25, 2024 |