open-mistral-nemo
Mistral · chat model
open-mistral-nemo is listed here as a chat model from Mistral. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.3000 / 1M tokens
Output
$0.3000 / 1M tokens
Cached input
N/A
Context
128.0K
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 | $0.3000 / 1M tokens |
| Output | $0.3000 / 1M tokens |
| Embedding | $0.3000 / 1M tokens |
Token limits
Context window
128.0K
Max input tokens
128.0K
Max output tokens
128.0K
Max tokens
128.0K
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
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 |
|---|---|---|---|---|---|
| open-mistral-nemo Mistral | In $0.3000 / 1M tokens Out $0.3000 / 1M tokens | text
Output: text | Tool choiceResponse schema | 128.0K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| open-mistral-nemo-2407 Mistral | In $0.3000 / 1M tokens Out $0.3000 / 1M tokens | text
Output: text | Tool choiceResponse schema | 128.0K | Same provider Overall 100% |
| devstral-small-2505 Mistral | In $0.1000 / 1M tokens Out $0.3000 / 1M tokens | text
Output: text | Tool choiceResponse schema | 128.0K | Same provider Overall 86% |
| devstral-small-2507 Mistral | In $0.1000 / 1M tokens Out $0.3000 / 1M tokens | text
Output: text | Tool choiceResponse schema | 128.0K | Same provider Overall 86% |
| devstral-small vercel_ai_gateway | In $0.0700 / 1M tokens Out $0.2800 / 1M tokens | text
Output: text | Tool choiceResponse schema | 128.0K | Text covered Overall 84% |
| mistral-tiny Mistral | In $0.2500 / 1M tokens Out $0.2500 / 1M tokens | text
Output: text | Tool choiceResponse schema | 8.2K | Same provider Overall 83% |
| open-mistral-7b Mistral | In $0.2500 / 1M tokens Out $0.2500 / 1M tokens | text
Output: text | Tool choiceResponse schema | 8.2K | Same provider Overall 83% |
| devstral-medium-2507 Mistral | In $0.4000 / 1M tokens Out $2.0000 / 1M tokens | text
Output: text | Tool choiceResponse schema | 128.0K | Same provider Overall 80% |
| deepseek-r1-distill-qwen-32b novita | In $0.3000 / 1M tokens Out $0.3000 / 1M tokens | text
Output: text | Tool choiceResponse schema | 32.0K | Text covered Overall 76% |
| Hermes-3-Llama-3.1-70B deepinfra | In $0.3000 / 1M tokens Out $0.3000 / 1M tokens | text
Output: text | Low overlap | 131.1K | Text covered Overall 75% |
| codestral-2405 Mistral | In $1.0000 / 1M tokens Out $3.0000 / 1M tokens | text
Output: text | Tool choiceResponse schema | 8.2K | Same provider Overall 70% |
| codestral-latest Mistral | In $1.0000 / 1M tokens Out $3.0000 / 1M tokens | text
Output: text | Tool choiceResponse schema | 8.2K | Same provider Overall 70% |
| mistral-medium Mistral | In $2.7000 / 1M tokens Out $8.1000 / 1M tokens | text
Output: text | Tool choiceResponse schema | 8.2K | Same provider Overall 67% |
| mistral-medium-2312 Mistral | In $2.7000 / 1M tokens Out $8.1000 / 1M tokens | text
Output: text | Tool choiceResponse schema | 8.2K | Same provider Overall 67% |
| Meta-Llama-Guard-3-8B sambanova | In $0.3000 / 1M tokens Out $0.3000 / 1M tokens | text
Output: unknown | Low overlap | 16.4K | Partial I/O overlap Overall 22% Missing text |
| together-ai-8.1b-21b Together AI | In $0.3000 / 1M tokens Out $0.3000 / 1M tokens | text
Output: unknown | Low overlap | 1.0K | Partial I/O overlap Overall 20% Missing text |
| mistral-nemo-instruct-2407 gradient_ai | In $0.3000 / 1M tokens Out $0.3000 / 1M tokens | text
Output: unknown | Low overlap | 512 | Partial I/O overlap Overall 20% Missing text |
No models match this filter.