| Signal | Llama 3.2 11B Vision Instruct | Delta | Mistral Nemo |
|---|---|---|---|
Capabilities | 50 | -- | |
Pricing | 100 | 0 | |
Context window size | 73 | -- | |
Recency | 22 | +12 | |
Output Capacity | 70 | +50 | |
| Overall Result | 2 wins | of 5 | 1 wins |
Score History
40
current score
Tied
right now
40
current score
Meta
Mistral AI
Mistral Nemo saves you $33.25/month
That's $399.00/year compared to Llama 3.2 11B Vision Instruct at your current usage level of 100K calls/month.
| Metric | Llama 3.2 11B Vision Instruct | Mistral Nemo | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #297 | #299 | Llama 3.2 11B Vision Instruct |
| Quality Rank | #297 | #299 | Llama 3.2 11B Vision Instruct |
| Adoption Rank | #297 | #299 | Llama 3.2 11B Vision Instruct |
| Parameters | 11B | -- | -- |
| Context Window | 131K | 131K | -- |
| Pricing | $0.24/$0.24/M | $0.02/$0.03/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | Llama 3.2 11B Vision Instruct |
| Pricing | 100 | 100 | Mistral Nemo |
| Context window size | 73 | 73 | Llama 3.2 11B Vision Instruct |
| Recency | 22 | 10 | Llama 3.2 11B Vision Instruct |
| Output Capacity | 70 | 20 | 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 #297), placing it in the top -2% of all 290 models tracked.
Scores 40/100 (rank #299), 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.
Mistral Nemo offers 90% better value per quality point. At 1M tokens/day, you'd spend $0.75/month with Mistral Nemo vs $7.35/month with Llama 3.2 11B Vision Instruct - a $6.60 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. Mistral Nemo 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 ($0.03/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
Llama 3.2 11B Vision Instruct and Mistral Nemo 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
Llama 3.2 11B Vision Instruct
Marginally better benchmark scores; both are excellent
Best for Cost
Mistral Nemo
90% lower pricing; better value at scale
Best for Reliability
Llama 3.2 11B Vision Instruct
Higher uptime and faster response speeds
Best for Prototyping
Llama 3.2 11B Vision Instruct
Stronger community support and better developer experience
Best for Production
Llama 3.2 11B Vision Instruct
Wider enterprise adoption and proven at scale
by Meta
| Capability | Llama 3.2 11B Vision Instruct | Mistral Nemo |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Meta
Mistral AI
Mistral Nemo saves you $0.6630/month
That's 90% cheaper than Llama 3.2 11B Vision Instruct 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 3.2 11B Vision Instruct | Mistral Nemo |
|---|---|---|
| Context Window | 131K | 131K |
| Max Output Tokens | 16,384 | -- |
| Open Source | Yes | Yes |
| Created | Sep 25, 2024 | Jul 19, 2024 |