mistral-nemo
azure_ai · chat model
mistral-nemo 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
$0.1500 / 1M tokens
Output
$0.1500 / 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 | $0.1500 / 1M tokens |
| Output | $0.1500 / 1M tokens |
| Embedding | $0.1500 / 1M tokens |
Token limits
Context window
4.1K
Max input tokens
131.1K
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 |
|---|---|---|---|---|---|
| Mistral Nemo 12B main benchmarks | 83.5% | HellaSwag (0-shot) | Base model: Mistral Nemo (mistralai/Mistral-Nemo-Base-2407) | 2026-05-31 | Link |
| Mistral Nemo 12B main benchmarks | 76.8% | Winogrande (0-shot) | Base model: Mistral Nemo (mistralai/Mistral-Nemo-Base-2407) | 2026-05-31 | Link |
| Mistral Nemo 12B main benchmarks | 60.6% | OpenBookQA (0-shot) | Base model: Mistral Nemo (mistralai/Mistral-Nemo-Base-2407) | 2026-05-31 | Link |
| Mistral Nemo 12B main benchmarks | 70.4% | CommonSenseQA (0-shot) | Base model: Mistral Nemo (mistralai/Mistral-Nemo-Base-2407) | 2026-05-31 | Link |
| Mistral Nemo 12B main benchmarks | 50.3% | TruthfulQA (0-shot) | Base model: Mistral Nemo (mistralai/Mistral-Nemo-Base-2407) | 2026-05-31 | Link |
| Mistral Nemo 12B main benchmarks | 68.0% | MMLU (5-shot) | Base model: Mistral Nemo (mistralai/Mistral-Nemo-Base-2407) | 2026-05-31 | Link |
| Mistral Nemo 12B main benchmarks | 73.8% | TriviaQA (5-shot) | Base model: Mistral Nemo (mistralai/Mistral-Nemo-Base-2407) | 2026-05-31 | Link |
| Mistral Nemo 12B main benchmarks | 31.2% | NaturalQuestions (5-shot) | Base model: Mistral Nemo (mistralai/Mistral-Nemo-Base-2407) | 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 |
|---|---|---|---|---|---|
| mistral-nemo azure_ai | In $0.1500 / 1M tokens Out $0.1500 / 1M tokens | text
Output: text | Function calling | 4.1K | Current model Reference row |
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|---|---|---|---|---|---|
| meta.llama3-2-3b-instruct-v1:0 Bedrock | In $0.1500 / 1M tokens Out $0.1500 / 1M tokens | text
Output: text | Function calling | 4.1K | Text covered Overall 100% |
| us.meta.llama3-2-3b-instruct-v1:0 Bedrock | In $0.1500 / 1M tokens Out $0.1500 / 1M tokens | text
Output: text | Function calling | 4.1K | Text covered Overall 100% |
| eu.meta.llama3-2-1b-instruct-v1:0 Bedrock | In $0.1300 / 1M tokens Out $0.1300 / 1M tokens | text
Output: text | Function calling | 4.1K | Text covered Overall 97% |
| eu.meta.llama3-2-3b-instruct-v1:0 Bedrock | In $0.1900 / 1M tokens Out $0.1900 / 1M tokens | text
Output: text | Function calling | 4.1K | Text covered Overall 96% |
| meta.llama3-2-1b-instruct-v1:0 Bedrock | In $0.1000 / 1M tokens Out $0.1000 / 1M tokens | text
Output: text | Function calling | 4.1K | Text covered Overall 93% |
| us.meta.llama3-2-1b-instruct-v1:0 Bedrock | In $0.1000 / 1M tokens Out $0.1000 / 1M tokens | text
Output: text | Function calling | 4.1K | Text covered Overall 93% |
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Output: text | Function calling | 2.0K | Text covered Overall 86% |
| us.meta.llama3-1-8b-instruct-v1:0 Bedrock | In $0.2200 / 1M tokens Out $0.2200 / 1M tokens | text
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Output: unknown | Function calling | 16.4K | Partial I/O overlap Overall 49% Missing text |
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Output: unknown | Function calling | 16.4K | Partial I/O overlap Overall 49% Missing text |
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Output: unknown | Low overlap | 8.2K | Partial I/O overlap Overall 28% Missing text |
| zephyr-7b-beta anyscale | In $0.1500 / 1M tokens Out $0.1500 / 1M tokens | text
Output: unknown | Low overlap | 16.4K | Partial I/O overlap Overall 24% Missing text |
No models match this filter.