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.
Pricing
$0.34/1M in
$0.34/1M out
↑41%since May 2026
Context
131k tokens
Speed
Fast
Available via multiple inference providers including Together AI, Fireworks, and OpenRouter. As an open-weight model, it can also be self-hosted for even lower marginal costs at scale. Part of Meta's Llama 3.2 family which also includes a 90B vision variant for heavier workloads.
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.
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?
Meta: Llama 3.1 8B Instruct 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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