Llama-3.2-90B-Vision-Instruct
azure_ai · chat model
Llama-3.2-90B-Vision-Instruct is listed here as a chat model from azure_ai. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$2.0400 / 1M tokens
Output
$2.0400 / 1M tokens
Cached input
N/A
Context
2.0K
Quick read
Best for
Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.
Things to verify
Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.
Pricing
| Item | Price |
|---|---|
| Input | $2.0400 / 1M tokens |
| Output | $2.0400 / 1M tokens |
| Embedding | $2.0400 / 1M tokens |
Token limits
Context window
2.0K
Max input tokens
128.0K
Max output tokens
2.0K
Max tokens
2.0K
Capabilities
| Capability | Supported |
|---|---|
| Vision | ✅ |
| Function calling | ✅ |
| Parallel function calling | — |
| Tool choice | ✅ |
| Prompt caching | — |
| Reasoning | — |
| Response schema | — |
| System messages | — |
| Audio input | — |
| Audio output | — |
| Web search | — |
| PDF input | — |
| Video input | — |
Benchmarks
Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer
| Benchmark | Score | Metric | Scope | Checked | Source |
|---|---|---|---|---|---|
| MMLU | 32.2 | macro_avg/acc_char | Base model: Llama 3.2 (Llama 3.2 1B) | 2026-05-31 | Link |
| ARC-Challenge | 32.8 | acc_char | Base model: Llama 3.2 (Llama 3.2 1B) | 2026-05-31 | Link |
| SQuAD | 49.2 | em | Base model: Llama 3.2 (Llama 3.2 1B) | 2026-05-31 | Link |
| MMLU | 58 | macro_avg/acc_char | Base model: Llama 3.2 (Llama 3.2 3B) | 2026-05-31 | Link |
| ARC-Challenge | 69.1 | acc_char | Base model: Llama 3.2 (Llama 3.2 3B) | 2026-05-31 | Link |
| SQuAD | 67.7 | em | Base model: Llama 3.2 (Llama 3.2 3B) | 2026-05-31 | Link |
| MMLU | 49.3 | macro_avg/acc | Base model: Llama 3.2 (Llama 3.2 1B bf16) | 2026-05-31 | Link |
| IFEval | 59.5 | Avg(Prompt/Instruction acc Loose/Strict) | Base model: Llama 3.2 (Llama 3.2 1B bf16) | 2026-05-31 | Link |
| MMLU | 63.4 | macro_avg/acc | Base model: Llama 3.2 (Llama 3.2 3B bf16) | 2026-05-31 | Link |
| IFEval | 77.4 | Avg(Prompt/Instruction acc Loose/Strict) | Base model: Llama 3.2 (Llama 3.2 3B bf16) | 2026-05-31 | Link |
Sources
| Source links | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
Docs
| Official docs |
Similar models
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Comparing from
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|---|---|---|---|---|---|
| Llama-3.2-90B-Vision-Instruct azure_ai | In $2.0400 / 1M tokens Out $2.0400 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 2.0K | Current model Reference row |
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| meta.llama3-2-90b-instruct-v1:0 Bedrock | In $2.0000 / 1M tokens Out $2.0000 / 1M tokens | imagetext
Output: text | VisionFunction calling | 4.1K | Text + image covered Overall 84% |
| us.meta.llama3-2-90b-instruct-v1:0 Bedrock | In $2.0000 / 1M tokens Out $2.0000 / 1M tokens | imagetext
Output: text | VisionFunction calling | 4.1K | Text + image covered Overall 84% |
| Llama-3.2-11B-Vision-Instruct azure_ai | In $0.3700 / 1M tokens Out $0.3700 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 2.0K | Same provider Overall 84% |
| claude-3-haiku OpenRouter | In $0.2500 / 1M tokens Out $1.2500 / 1M tokens | imagetext
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| mistral-large-3 azure_ai | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | imagetext
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| pixtral-large vercel_ai_gateway | In $2.0000 / 1M tokens Out $6.0000 / 1M tokens | imagetext
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| grok-2-vision vercel_ai_gateway | In $2.0000 / 1M tokens Out $10.0000 / 1M tokens | imagetext
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| Llama-4-Maverick-17B-128E-Instruct-FP8 azure_ai | In $1.4100 / 1M tokens Out $0.3500 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 16.4K | Same provider Overall 75% |
| mistral-medium-2505 azure_ai | In $0.4000 / 1M tokens Out $2.0000 / 1M tokens | imagetext
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| claude-3-haiku@20240307 vertex_ai-anthropic_models | In $0.2500 / 1M tokens Out $1.2500 / 1M tokens | imagetext code
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| Llama-4-Scout-17B-16E-Instruct azure_ai | In $0.2000 / 1M tokens Out $0.7800 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 16.4K | Same provider Overall 72% |
| Qwen2.5-VL-32B-Instruct deepinfra | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens | imagetext
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| kimi-k2.5 azure_ai | In $0.6000 / 1M tokens Out $3.0000 / 1M tokens | imagetext
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| mistral-large-2512 OpenRouter | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | imagetext file
Output: text | VisionFunction callingTool choice | 262.1K | Text + image covered Overall 67% |
| mistral-small-2503 azure_ai | In $0.1000 / 1M tokens Out $0.3000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 128.0K | Same provider Overall 67% |
| Qwen3-Coder-480B-A35B-Instruct-FP8 Together AI | In $2.0000 / 1M tokens Out $2.0000 / 1M tokens | imagetext
Output: text | Function callingTool choice | N/A | Partial I/O overlap Overall 58% Missing image |
| meta.llama-3.2-90b-vision-instruct oci | In $2.0000 / 1M tokens Out $2.0000 / 1M tokens | imagetext
Output: unknown | VisionFunction calling | 4.0K | Partial I/O overlap Overall 44% Missing text, image |
| meta.llama-3.2-11b-vision-instruct oci | In $2.0000 / 1M tokens Out $2.0000 / 1M tokens | imagetext
Output: unknown | VisionFunction calling | 4.0K | Partial I/O overlap Overall 44% Missing text, image |
| Qwen3-235B-A22B hyperbolic | In $2.0000 / 1M tokens Out $2.0000 / 1M tokens | imagetext
Output: unknown | Function callingTool choice | 131.1K | Partial I/O overlap Overall 30% Missing text, image |
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Output: unknown | Function callingTool choice | 131.1K | Partial I/O overlap Overall 30% Missing text, image |
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