nvidia.nemotron-nano-12b-v2
bedrock_converse · chat model
nvidia.nemotron-nano-12b-v2 is listed here as a chat model from bedrock_converse. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.2000 / 1M tokens
Output
$0.6000 / 1M tokens
Cached input
N/A
Context
8.2K
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 | $0.2000 / 1M tokens |
| Output | $0.6000 / 1M tokens |
| Embedding | $0.2000 / 1M tokens |
Token limits
Context window
8.2K
Max input tokens
128.0K
Max output tokens
8.2K
Max tokens
8.2K
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 |
|---|---|---|---|---|---|
| MT-Bench | 8.22 | total | Base model: Nemotron (Nemotron-4-340B-Instruct) | 2026-05-31 | Link |
| IFEval | 79.9 | Prompt-Strict Acc | Base model: Nemotron (Nemotron-4-340B-Instruct) | 2026-05-31 | Link |
| IFEval | 86.1 | Instruction-Strict Acc | Base model: Nemotron (Nemotron-4-340B-Instruct) | 2026-05-31 | Link |
| MMLU | 78.7 | 0-shot | Base model: Nemotron (Nemotron-4-340B-Instruct) | 2026-05-31 | Link |
| GSM8K | 92.3 | 0-shot | Base model: Nemotron (Nemotron-4-340B-Instruct) | 2026-05-31 | Link |
| HumanEval | 73.2 | 0-shot | Base model: Nemotron (Nemotron-4-340B-Instruct) | 2026-05-31 | Link |
| MBPP | 75.4 | 0-shot | Base model: Nemotron (Nemotron-4-340B-Instruct) | 2026-05-31 | Link |
| Arena Hard | 54.2 | Arena Hard | Base model: Nemotron (Nemotron-4-340B-Instruct) | 2026-05-31 | Link |
| AlpacaEval 2.0 LC | 41.5 | Length Controlled | Base model: Nemotron (Nemotron-4-340B-Instruct) | 2026-05-31 | Link |
| AIME 2025 | 76.25% | Reasoning On | Base model: Nemotron (NVIDIA-Nemotron-Nano-12B-v2) | 2026-05-31 | Link |
| MATH-500 | 97.75% | Reasoning On | Base model: Nemotron (NVIDIA-Nemotron-Nano-12B-v2) | 2026-05-31 | Link |
| GPQA | 64.48% | Reasoning On | Base model: Nemotron (NVIDIA-Nemotron-Nano-12B-v2) | 2026-05-31 | Link |
| LCB | 70.79% | Reasoning On | Base model: Nemotron (NVIDIA-Nemotron-Nano-12B-v2) | 2026-05-31 | Link |
| BFCL | 66.98% | Reasoning On | Base model: Nemotron (NVIDIA-Nemotron-Nano-12B-v2) | 2026-05-31 | Link |
| IFEval Prompt | 84.70% | Reasoning On | Base model: Nemotron (NVIDIA-Nemotron-Nano-12B-v2) | 2026-05-31 | Link |
| IFEval Instruction | 89.81% | Reasoning On | Base model: Nemotron (NVIDIA-Nemotron-Nano-12B-v2) | 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 |
|---|---|---|---|---|---|
| nvidia.nemotron-nano-12b-v2 bedrock_converse | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens | imagetext
Output: text | VisionSystem messages | 8.2K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| llama-4-maverick-17b-128e-instruct-fp8 novita | In $0.2700 / 1M tokens Out $0.8500 / 1M tokens | imagetext
Output: text | VisionSystem messages | 8.2K | Text + image covered Overall 94% |
| google.gemma-3-27b-it bedrock_converse | In $0.2300 / 1M tokens Out $0.3800 / 1M tokens | imagetext
Output: image, text | VisionSystem messages | 8.2K | Same provider Overall 87% |
| llama-4-scout-17b-16e-instruct novita | In $0.1800 / 1M tokens Out $0.5900 / 1M tokens | imagetext
Output: text | VisionSystem messages | 131.1K | Text + image covered Overall 85% |
| gemma-3-27b-it novita | In $0.1190 / 1M tokens Out $0.2000 / 1M tokens | imagetext
Output: text | VisionSystem messages | 16.4K | Text + image covered Overall 82% |
| google.gemma-3-12b-it bedrock_converse | In $0.0900 / 1M tokens Out $0.2900 / 1M tokens | imagetext
Output: image, text | VisionSystem messages | 8.2K | Same provider Overall 81% |
| ernie-4.5-vl-28b-a3b novita | In $0.1400 / 1M tokens Out $0.5600 / 1M tokens | imagetext
Output: text | VisionSystem messages | 8.0K | Text + image covered Overall 80% |
| qwen.qwen3-vl-235b-a22b bedrock_converse | In $0.5300 / 1M tokens Out $2.6600 / 1M tokens | imagetext
Output: text | VisionSystem messages | 8.2K | Same provider Overall 78% |
| mistral.ministral-3-14b-instruct bedrock_converse | In $0.2000 / 1M tokens Out $0.2000 / 1M tokens | imagetext
Output: text | System messages | 8.2K | Same provider Overall 76% |
| google.gemma-3-4b-it bedrock_converse | In $0.0400 / 1M tokens Out $0.0800 / 1M tokens | imagetext
Output: image, text | VisionSystem messages | 8.2K | Same provider Overall 75% |
| paddleocr-vl novita | In $0.0200 / 1M tokens Out $0.0200 / 1M tokens | imagetext
Output: text | VisionSystem messages | 16.4K | Text + image covered Overall 74% |
| mistral.ministral-3-8b-instruct bedrock_converse | In $0.1500 / 1M tokens Out $0.1500 / 1M tokens | imagetext
Output: text | System messages | 8.2K | Same provider Overall 73% |
| qwen2.5-vl-72b-instruct novita | In $0.8000 / 1M tokens Out $0.8000 / 1M tokens | imagetext video
Output: text | VisionSystem messages | 32.8K | Text + image covered Overall 71% |
| autoglm-phone-9b-multilingual novita | In $0.0350 / 1M tokens Out $0.1380 / 1M tokens | imagetext
Output: text | VisionSystem messages | 65.5K | Text + image covered Overall 71% |
| Qwen2.5-VL-32B-Instruct deepinfra | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens | imagetext
Output: text | Vision | 128.0K | Text + image covered Overall 67% |
| DeepSeek-R1-Distill-Llama-70B deepinfra | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens | imagetext
Output: text | Low overlap | 131.1K | Partial I/O overlap Overall 49% Missing image |
| llama-4-maverick-17b-128e-instruct Groq | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens | imagetext
Output: unknown | Vision | 8.2K | Partial I/O overlap Overall 40% Missing text, image |
| deepseek-v3-0324 lambda_ai | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens | imagetext
Output: unknown | System messages | 131.1K | Partial I/O overlap Overall 26% Missing text, image |
| deepseek-llama3.3-70b lambda_ai | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens | imagetext
Output: unknown | System messages | 131.1K | Partial I/O overlap Overall 25% Missing text, image |
| deepseek-r1-0528 lambda_ai | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens | imagetext
Output: unknown | System messages | 131.1K | Partial I/O overlap Overall 25% Missing text, image |
No models match this filter.