llama3.2-11b-vision-instruct
lambda_ai · chat model
llama3.2-11b-vision-instruct is listed here as a chat model from lambda_ai. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.0150 / 1M tokens
Output
$0.0250 / 1M tokens
Cached input
N/A
Context
131.1K
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 | $0.0150 / 1M tokens |
| Output | $0.0250 / 1M tokens |
| Embedding | $0.0150 / 1M tokens |
Token limits
Context window
131.1K
Max input tokens
131.1K
Max output tokens
131.1K
Max tokens
131.1K
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 |
Similar models
This list is ranked by overall similarity. Use filters to emphasize the lens that matters most for the replacement you are making.
Comparing from
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| llama3.2-11b-vision-instruct lambda_ai | In $0.0150 / 1M tokens Out $0.0250 / 1M tokens |
Output: unknown | VisionFunction callingParallel function callingTool choice | 131.1K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| llama3.2-3b-instruct lambda_ai | In $0.0150 / 1M tokens Out $0.0250 / 1M tokens |
Output: unknown | Function callingParallel function callingTool choiceSystem messages | 131.1K | Same provider Overall 55% |
| hermes3-8b lambda_ai | In $0.0250 / 1M tokens Out $0.0400 / 1M tokens |
Output: unknown | Function callingParallel function callingTool choiceSystem messages | 131.1K | Same provider Overall 47% |
| lfm-7b lambda_ai | In $0.0250 / 1M tokens Out $0.0400 / 1M tokens |
Output: unknown | Function callingParallel function callingTool choiceSystem messages | 131.1K | Same provider Overall 47% |
| llama3.1-8b-instruct lambda_ai | In $0.0250 / 1M tokens Out $0.0400 / 1M tokens |
Output: unknown | Function callingParallel function callingTool choiceSystem messages | 131.1K | Same provider Overall 47% |
| gemma-3-12b-it crusoe | In $0.1000 / 1M tokens Out $0.1000 / 1M tokens |
Output: unknown | VisionFunction callingParallel function callingTool choice | 131.1K | Partial I/O overlap Overall 44% |
| Meta-Llama-3.1-8B-Instruct-Turbo deepinfra | In $0.0200 / 1M tokens Out $0.0300 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Partial I/O overlap Overall 41% |
| Llama-3.2-3B-Instruct deepinfra | In $0.0200 / 1M tokens Out $0.0200 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Partial I/O overlap Overall 41% |
| qwen25-coder-32b-instruct lambda_ai | In $0.0500 / 1M tokens Out $0.1000 / 1M tokens |
Output: unknown | Function callingParallel function callingTool choiceSystem messages | 131.1K | Same provider Overall 40% |
| v0-1.0-md v0 | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens |
Output: unknown | VisionFunction callingParallel function callingTool choice | 128.0K | Partial I/O overlap Overall 40% |
| v0-1.5-md v0 | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens |
Output: unknown | VisionFunction callingParallel function callingTool choice | 128.0K | Partial I/O overlap Overall 40% |
| lfm-40b lambda_ai | In $0.1000 / 1M tokens Out $0.2000 / 1M tokens |
Output: unknown | Function callingParallel function callingTool choiceSystem messages | 131.1K | Same provider Overall 38% |
| v0-1.5-lg v0 | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens |
Output: unknown | VisionFunction callingParallel function callingTool choice | 512.0K | Partial I/O overlap Overall 29% |
| paddleocr-vl novita | In $0.0200 / 1M tokens Out $0.0200 / 1M tokens | imagetext
Output: text | VisionSystem messages | 16.4K | Partial I/O overlap Overall 27% |
| qwen3-vl-8b-instruct novita | In $0.0800 / 1M tokens Out $0.5000 / 1M tokens | imagetext
Output: text | VisionFunction callingParallel function callingTool choice | 32.8K | Partial I/O overlap Overall 27% |
| Qwen2.5-Coder-7B nebius | In $0.0100 / 1M tokens Out $0.0300 / 1M tokens |
Output: unknown | Function calling | 32.8K | Partial I/O overlap Overall 24% |
| ernie-4.5-vl-28b-a3b novita | In $0.1400 / 1M tokens Out $0.5600 / 1M tokens | imagetext
Output: text | VisionFunction callingParallel function callingTool choice | 8.0K | Partial I/O overlap Overall 23% |
| gpt-4o-mini replicate | In $0.1500 / 1M tokens Out $0.6000 / 1M tokens | imagetext
Output: text | VisionFunction callingParallel function callingTool choice | N/A | Partial I/O overlap Overall 22% |
| gpt-5 replicate | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingParallel function callingTool choice | N/A | Partial I/O overlap Overall 21% |
| Qwen2.5-Coder-3B-Instruct nscale | In $0.0100 / 1M tokens Out $0.0300 / 1M tokens |
Output: unknown | Low overlap | N/A | Partial I/O overlap Overall 15% |
| Qwen2.5-Coder-7B-Instruct nscale | In $0.0100 / 1M tokens Out $0.0300 / 1M tokens |
Output: unknown | Low overlap | N/A | Partial I/O overlap Overall 15% |
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