| Signal | GPT-3.5 Turbo 16k | Delta | Llama 3.2 11B Vision Instruct |
|---|---|---|---|
Capabilities | 50 | -- | |
Pricing | 96 | -4 | |
Context window size | 60 | -13 | |
Recency | 0 | -17 | |
Output Capacity | 60 | -10 | |
| Overall Result | 0 wins | of 5 | 4 wins |
Score History
40
current score
Tied
right now
40
current score
OpenAI
Meta
Llama 3.2 11B Vision Instruct saves you $448.25/month
That's $5379.00/year compared to GPT-3.5 Turbo 16k at your current usage level of 100K calls/month.
| Metric | GPT-3.5 Turbo 16k | Llama 3.2 11B Vision Instruct | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #285 | #283 | Llama 3.2 11B Vision Instruct |
| Quality Rank | #285 | #283 | Llama 3.2 11B Vision Instruct |
| Adoption Rank | #285 | #283 | Llama 3.2 11B Vision Instruct |
| Parameters | -- | 11B | -- |
| Context Window | 16K | 131K | Llama 3.2 11B Vision Instruct |
| Pricing | $3.00/$4.00/M | $0.34/$0.34/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | GPT-3.5 Turbo 16k |
| Pricing | 96 | 100 | Llama 3.2 11B Vision Instruct |
| Context window size | 60 | 73 | Llama 3.2 11B Vision Instruct |
| Recency | 0 | 17 | Llama 3.2 11B Vision Instruct |
| Output Capacity | 60 | 70 | Llama 3.2 11B Vision Instruct |
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 40/100 (rank #285), placing it in the top 2% of all 290 models tracked.
Scores 40/100 (rank #283), placing it in the top 3% 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 3.2 11B Vision Instruct offers 90% better value per quality point. At 1M tokens/day, you'd spend $10.35/month with Llama 3.2 11B Vision Instruct vs $105.00/month with GPT-3.5 Turbo 16k - a $94.65 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 (131K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.34/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (40/100) 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-3.5 Turbo 16k and Llama 3.2 11B Vision Instruct are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-3.5 Turbo 16k
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 3.2 11B Vision Instruct
90% lower pricing; better value at scale
Best for Reliability
GPT-3.5 Turbo 16k
Higher uptime and faster response speeds
Best for Prototyping
GPT-3.5 Turbo 16k
Stronger community support and better developer experience
Best for Production
GPT-3.5 Turbo 16k
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-3.5 Turbo 16k | Llama 3.2 11B Vision Instruct |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
Meta
Llama 3.2 11B Vision Instruct saves you $9.16/month
That's 90% cheaper than GPT-3.5 Turbo 16k 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-3.5 Turbo 16k | Llama 3.2 11B Vision Instruct |
|---|---|---|
| Context Window | 16K | 131K |
| Max Output Tokens | 4,096 | 16,384 |
| Open Source | No | Yes |
| Created | Aug 28, 2023 | Sep 25, 2024 |