meta.llama3-2-11b-instruct-v1:0
Bedrock · chat model
meta.llama3-2-11b-instruct-v1:0 is listed here as a chat model from Bedrock. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.3500 / 1M tokens
Output
$0.3500 / 1M tokens
Cached input
N/A
Context
4.1K
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 | $0.3500 / 1M tokens |
| Output | $0.3500 / 1M tokens |
| Embedding | $0.3500 / 1M tokens |
Token limits
Context window
4.1K
Max input tokens
128.0K
Max output tokens
4.1K
Max tokens
4.1K
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 |
Docs
| Official docs |
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 |
|---|---|---|---|---|---|
| meta.llama3-2-11b-instruct-v1:0 Bedrock | In $0.3500 / 1M tokens Out $0.3500 / 1M tokens | imagetext
Output: text | VisionFunction calling | 4.1K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| us.meta.llama3-2-11b-instruct-v1:0 Bedrock | In $0.3500 / 1M tokens Out $0.3500 / 1M tokens | imagetext
Output: text | VisionFunction calling | 4.1K | Same provider Overall 100% |
| 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 | Same provider 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 | Same provider Overall 84% |
| Llama-3.2-11B-Vision-Instruct azure_ai | In $0.3700 / 1M tokens Out $0.3700 / 1M tokens | imagetext
Output: text | VisionFunction calling | 2.0K | Text + image covered Overall 83% |
| claude-3-haiku OpenRouter | In $0.2500 / 1M tokens Out $1.2500 / 1M tokens | imagetext
Output: text | VisionFunction calling | 4.1K | Text + image covered Overall 81% |
| meta.llama4-scout-17b-instruct-v1:0 bedrock_converse | In $0.1700 / 1M tokens Out $0.6600 / 1M tokens | imagetext
Output: text | Function calling | 4.1K | Text + image covered Overall 78% |
| Phi-4-multimodal-instruct azure_ai | In $0.0800 / 1M tokens Out $0.3200 / 1M tokens | imagetext audio
Output: text | VisionFunction calling | 4.1K | Text + image covered Overall 76% |
| anthropic.claude-3-haiku-20240307-v1:0 Bedrock | In $0.3000 / 1M tokens Out $1.5000 / 1M tokens | imagetext pdf
Output: text | VisionFunction calling | 4.1K | Same provider Overall 75% |
| anthropic.claude-3-haiku-20240307-v1:0 Bedrock | In $0.3000 / 1M tokens Out $1.5000 / 1M tokens | imagetext pdf
Output: text | VisionFunction calling | 4.1K | Same provider Overall 75% |
| anthropic.claude-3-haiku-20240307-v1:0 Bedrock | In $0.2500 / 1M tokens Out $1.2500 / 1M tokens | imagetext pdf
Output: text | VisionFunction calling | 4.1K | Same provider Overall 75% |
| Llama-4-Maverick-17B-128E-Instruct-FP8 azure_ai | In $1.4100 / 1M tokens Out $0.3500 / 1M tokens | imagetext
Output: text | VisionFunction calling | 16.4K | Text + image covered Overall 74% |
| Llama-3.2-90B-Vision-Instruct azure_ai | In $2.0400 / 1M tokens Out $2.0400 / 1M tokens | imagetext
Output: text | VisionFunction calling | 2.0K | Text + image covered Overall 68% |
| llama-3-2-11b-vision-instruct watsonx | In $0.3500 / 1M tokens Out $0.3500 / 1M tokens | imagetext
Output: unknown | VisionFunction calling | 128.0K | Partial I/O overlap Overall 37% Missing text, image |
| llama-guard-3-11b-vision watsonx | In $0.3500 / 1M tokens Out $0.3500 / 1M tokens | imagetext
Output: unknown | Vision | 128.0K | Partial I/O overlap Overall 33% Missing text, image |
| pixtral-12b-2409 watsonx | In $0.3500 / 1M tokens Out $0.3500 / 1M tokens | imagetext
Output: unknown | Vision | 128.0K | Partial I/O overlap Overall 33% Missing text, image |
| DeepSeek-R1-Distill-Llama-70B nscale | In $0.3750 / 1M tokens Out $0.3750 / 1M tokens | imagetext
Output: unknown | Low overlap | N/A | Partial I/O overlap Overall 19% Missing text, image |
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