meta-llama/llama-3.2-90b-vision-instruct · Meta Llama
Meta's open multimodal model for chart understanding, document visual reasoning, and image QA.
Last checked Aug 28, 2026. Calculations use the listed base rates; provider-specific tiers, cache writes, batch pricing, and long-context rules may differ. Confirm the current rate at the official provider source.
Quick answer
At the published base rate, Llama 3.2 90B Vision costs $0.90 per 1M input tokens and $0.90 per 1M output tokens. It supports a 128K context window and is currently marked ga.
Method & trust
This rate card uses the provider's listed base input, output, and cached-input prices. Workload tables below apply those rates to explicit token counts, cache assumptions, and request volumes; verify provider-specific tiers before committing budget.
Input
$0.90
per 1M tokens
Output
$0.90
per 1M tokens
Cached input
—
not published
Context window
128K
max output 8.2K
Llama 3.2 90B Vision cost calculator
What Llama 3.2 90B Vision costs per task
| Use case | Input tokens | Output tokens | Cost / request | Monthly @ 1K req/day |
|---|---|---|---|---|
| Customer support chatbot | 3,500 | 350 | $0.003465 | $103.95 |
| RAG / search-augmented answers | 8,000 | 500 | $0.00765 | $229.50 |
| AI coding assistant | 12,000 | 2,000 | $0.0126 | $378.00 |
| Document summarization | 25,000 | 600 | $0.023 | $691.20 |
| Agentic workflow | 40,000 | 1,500 | $0.0374 | $1,120.50 |
| Content generation | 800 | 1,200 | $0.0018 | $54.00 |
| Data extraction & tagging | 2,000 | 250 | $0.002025 | $60.75 |
| Translation | 5,000 | 5,500 | $0.00945 | $283.50 |
Assumes each use case's typical cacheable share of input. See full cost scenarios.
Compare with alternatives
| Model | Input /M | Output /M | Context | Chat request* |
|---|---|---|---|---|
| Llama 3.2 90B Vision | $0.90 | $0.90 | 128K | $0.00432 |
| GPT-5.6 Solcompare | $5.00 | $30.00 | 1.1M | $0.035 |
| GPT-5.6 Terracompare | $2.00 | $12.00 | 1.1M | $0.014 |
| GPT-5.6 Lunacompare | $0.20 | $1.20 | 1.1M | $0.0014 |
| GPT-5.6 Cybercompare | $12.50 | $75.00 | 1.1M | $0.0875 |
| GPT-5.5 Standardcompare | $5.00 | $30.00 | 512K | $0.035 |
| GPT-5.5 Procompare | $30.00 | $180.00 | 512K | $0.21 |
| GPT-5.4 Workhorsecompare | $2.50 | $15.00 | 256K | $0.0175 |
| GPT-5.4 minicompare | $0.75 | $4.50 | 256K | $0.00525 |
*4,000 in + 800 out tokens, 50% cached input where available.
Related calculations
FAQ
Llama 3.2 90B Vision costs $0.90 per 1M input tokens and $0.90 per 1M output tokens. Verified Aug 28, 2026 against https://www.llama.com/.
Llama 3.2 90B Vision supports a 128,000-token context window with up to 8,192 output tokens per request, tokenized with tiktoken_cl100k.
At $0.90/M input and $0.90/M output, Llama 3.2 90B Vision sits below GPT-5.6 Sol ($5.00/M in, $30.00/M out) — see the comparison table for full-workload differences.