← All models

open-mistral-nemo-2407

Mistral · chat model

open-mistral-nemo-2407 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

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
open-mistral-nemo-2407
Mistral
In $0.3000 / 1M tokens
Out $0.3000 / 1M tokens
text
Output: text
Tool choiceResponse schema
128.0K
Current model
Reference row

Overall blends cost, modality overlap, capabilities, and context.

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
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