The go-to vision model when budget is the top constraint and good-enough accuracy is acceptable.
52
Coding
60
Writing
55
Research
65
Images
92
Value
60
Long Context
Use this when
Budget-conscious developers who need basic vision capabilities without paying premium multimodal prices.
Skip this if
You need precise OCR, complex chart interpretation, or visual reasoning that requires flagship-level accuracy — the quality gap versus GPT-4o is significant on hard vision benchmarks.
Exceptional price at $0.049/1M tokens for both input and output — roughly 40x cheaper than GPT-4o for vision tasks
Open-weight model allows self-hosting and fine-tuning for custom applications
Solid image understanding for a model of its size, handling charts, diagrams, and photos competently
128K context window is generous for a budget-tier model
Weaknesses
Vision quality noticeably lags behind GPT-4o, Claude Sonnet 4.6, and Gemini 3.1 Pro on complex visual reasoning tasks
11B parameter count limits nuanced reasoning, multi-step logic, and sophisticated code generation compared to flagship models
Struggles with dense text extraction from images and fine-grained visual detail recognition
Monthly cost estimate
See what Meta: Llama 3.2 11B Vision Instruct actually costs at your usage level
Input tokens / month1M
10k50M
Output tokens / month500k
10k25M
Input cost
$0.049
Output cost
$0.025
Total / month
$0.074
Based on Meta: Llama 3.2 11B Vision Instruct API pricing: $0.049/1M input · $0.049/1M output. Real costs vary by provider discounts and caching. Check the provider for exact current rates.
Price History
Meta: Llama 3.2 11B Vision Instruct pricing over time
→0% since Mar 27
2 data points · tracked daily since Mar 27, 2026
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Start using Meta: Llama 3.2 11B Vision Instruct
Budget-conscious developers who need basic vision capabilities without paying premium multimodal prices.. Start free — no card required.
Meta's Llama 3.1 70B Instruct is a open-weight large language model with 70 billion parameters, fine-tuned for instruction following across coding, reasoning, and general-purpose tasks. It offers a strong balance of capability and cost at $0.40/1M tokens for both input and output.
Verdict
The go-to budget open-weight model for teams who need solid LLM capability without frontier model pricing.
Quality score
65%
Pricing
$0.40/1M in
$0.40/1M out
Speed
Fast
Best for teams needing capable open-weight llm performance at budget pricing for coding assistance, summarization, or rag pipelines.
Context
131k tokens
Pricing shown is via third-party API providers (e.g., OpenRouter, Together AI) — costs may vary. Meta releases Llama 3.1 weights publicly, enabling self-hosting at even lower cost. Not available directly from Meta as a hosted API.
Mistral Medium 3.1 is a multimodal mid-tier model from Mistral that supersedes Mistral Large 2, offering vision capabilities alongside strong text performance at a significantly reduced price point. It targets the sweet spot between budget models and expensive flagships, with a 128K context window and competitive multilingual support.
Verdict
The best Mistral model for budget-conscious builders who still need multimodal capability and solid multilingual output.
Quality score
70%
Pricing
$0.40/1M in
$2.00/1M out
Speed
Fast
Best for cost-sensitive teams needing solid coding, instruction-following, and basic vision tasks without paying flagship prices.
Context
131k tokens
Officially supersedes Mistral Large 2, representing a generational shift in Mistral's lineup toward multimodal capability at lower cost tiers. Available via Mistral API and select cloud providers. No function calling limitations noted at this tier.
BudgetMultimodalMultilingualMid-tierVision
Best for
Cost-sensitive teams needing solid coding, instruction-following, and basic vision tasks without paying flagship prices.
Pricing moves, ranking shifts, and capability updates.
New ModelMar 27, 2026
Meta: Llama 3.2 11B Vision Instruct — added to UseRightAI
Meta: Llama 3.2 11B Vision Instruct (Meta) is now indexed. The go-to vision model when budget is the top constraint and good-enough accuracy is acceptable.
What is Meta: Llama 3.2 11B Vision Instruct best for?
Meta: Llama 3.2 11B Vision Instruct is best for budget-conscious developers who need basic vision capabilities without paying premium multimodal prices.. It is a strong fit when that workflow matters more than the tradeoffs around budget pricing and fast speed.
When should I avoid Meta: Llama 3.2 11B Vision Instruct?
You need precise OCR, complex chart interpretation, or visual reasoning that requires flagship-level accuracy — the quality gap versus GPT-4o is significant on hard vision benchmarks.
What is a cheaper alternative to Meta: Llama 3.2 11B Vision Instruct?
Llama Guard 3 8B is the lower-cost option to compare first when you want a similar workflow fit with less token spend.
What is a faster alternative to Meta: Llama 3.2 11B Vision Instruct?
Llama 4 Maverick is the better pick when response time matters more than maximum depth or premium quality.
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