us.meta.llama3-2-90b-instruct-v1:0
Bedrock · chat model
us.meta.llama3-2-90b-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
$2.0000 / 1M tokens
Output
$2.0000 / 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 | $2.0000 / 1M tokens |
| Output | $2.0000 / 1M tokens |
| Embedding | $2.0000 / 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
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Comparing from
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| 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 | 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 | Same provider Overall 100% |
| Llama-3.2-90B-Vision-Instruct azure_ai | In $2.0400 / 1M tokens Out $2.0400 / 1M tokens | imagetext
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| 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 84% |
| us.meta.llama3-2-11b-instruct-v1:0 Bedrock | In $0.3500 / 1M tokens Out $0.3500 / 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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| anthropic.claude-3-5-sonnet-20240620-v1:0 Bedrock | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | imagetext
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| qwen.qwen3-vl-235b-a22b bedrock_converse | In $0.5300 / 1M tokens Out $2.6600 / 1M tokens | imagetext
Output: text | VisionFunction calling | 8.2K | Text + image covered Overall 75% |
| anthropic.claude-3-haiku-20240307-v1:0 Bedrock | In $0.3000 / 1M tokens Out $1.5000 / 1M tokens | imagetext pdf
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| anthropic.claude-3-haiku-20240307-v1:0 Bedrock | In $0.3000 / 1M tokens Out $1.5000 / 1M tokens | imagetext pdf
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| grok-2-vision vercel_ai_gateway | In $2.0000 / 1M tokens Out $10.0000 / 1M tokens | imagetext
Output: text | VisionFunction calling | 32.8K | Text + image covered Overall 70% |
| 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 69% |
| 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 68% |
| 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 60% 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 60% Missing text, image |
| Qwen3-Coder-480B-A35B-Instruct-FP8 Together AI | In $2.0000 / 1M tokens Out $2.0000 / 1M tokens | imagetext
Output: text | Function calling | N/A | Partial I/O overlap Overall 53% Missing image |
| Qwen3-235B-A22B hyperbolic | In $2.0000 / 1M tokens Out $2.0000 / 1M tokens | imagetext
Output: unknown | Function calling | 131.1K | Partial I/O overlap Overall 25% Missing text, image |
| Kimi-K2-Instruct hyperbolic | In $2.0000 / 1M tokens Out $2.0000 / 1M tokens | imagetext
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