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mistral-nemo-instruct-2407

gradient_ai · chat model

mistral-nemo-instruct-2407 is listed here as a chat model from gradient_ai. 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
512

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
512
Max input tokens
128.0K
Max output tokens
512
Max tokens
512

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

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
mistral-nemo-instruct-2407
gradient_ai
In $0.3000 / 1M tokens
Out $0.3000 / 1M tokens
Output: unknown
No public capabilities
512
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
granite-ttm-1024-96-r2
watsonx
In $0.3800 / 1M tokens
Out $0.3800 / 1M tokens
Output: unknown
Low overlap
512
Partial I/O overlap
Overall 31%
granite-ttm-1536-96-r2
watsonx
In $0.3800 / 1M tokens
Out $0.3800 / 1M tokens
Output: unknown
Low overlap
512
Partial I/O overlap
Overall 31%
granite-ttm-512-96-r2
watsonx
In $0.3800 / 1M tokens
Out $0.3800 / 1M tokens
Output: unknown
Low overlap
512
Partial I/O overlap
Overall 31%
llama3-8b-instruct
gradient_ai
In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
Output: unknown
Low overlap
512
Same provider
Overall 28%
together-ai-8.1b-21b
Together AI
In $0.3000 / 1M tokens
Out $0.3000 / 1M tokens
Output: unknown
Low overlap
1.0K
Partial I/O overlap
Overall 28%
granite-3-8b-instruct
watsonx
In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
Output: unknown
Low overlap
1.0K
Partial I/O overlap
Overall 21%
Meta-Llama-Guard-3-8B
sambanova
In $0.3000 / 1M tokens
Out $0.3000 / 1M tokens
Output: unknown
Low overlap
16.4K
Partial I/O overlap
Overall 20%
deepseek-r1-distill-qwen-32b
novita
In $0.3000 / 1M tokens
Out $0.3000 / 1M tokens
text
Output: text
Low overlap
32.0K
Partial I/O overlap
Overall 20%
open-mistral-nemo
Mistral
In $0.3000 / 1M tokens
Out $0.3000 / 1M tokens
text
Output: text
Low overlap
128.0K
Partial I/O overlap
Overall 20%
open-mistral-nemo-2407
Mistral
In $0.3000 / 1M tokens
Out $0.3000 / 1M tokens
text
Output: text
Low overlap
128.0K
Partial I/O overlap
Overall 20%
Hermes-3-Llama-3.1-70B
deepinfra
In $0.3000 / 1M tokens
Out $0.3000 / 1M tokens
text
Output: text
Low overlap
131.1K
Partial I/O overlap
Overall 20%
ai21.jamba-1-5-mini-v1:0
Bedrock
In $0.2000 / 1M tokens
Out $0.4000 / 1M tokens
text
Output: text
Low overlap
256.0K
Partial I/O overlap
Overall 14%
llama3.3-70b-instruct
gradient_ai
In $0.6500 / 1M tokens
Out $0.6500 / 1M tokens
Output: unknown
Low overlap
2.0K
Same provider
Overall 13%
ai21.jamba-instruct-v1:0
Bedrock
In $0.5000 / 1M tokens
Out $0.7000 / 1M tokens
text
Output: text
Low overlap
4.1K
Partial I/O overlap
Overall 12%
anthropic-claude-3.5-haiku
gradient_ai
In $0.8000 / 1M tokens
Out $4.0000 / 1M tokens
Output: unknown
Low overlap
1.0K
Same provider
Overall 12%
anthropic-claude-3.5-sonnet
gradient_ai
In $3.0000 / 1M tokens
Out $15.0000 / 1M tokens
Output: unknown
Low overlap
1.0K
Same provider
Overall 9%
anthropic-claude-3.7-sonnet
gradient_ai
In $3.0000 / 1M tokens
Out $15.0000 / 1M tokens
Output: unknown
Low overlap
1.0K
Same provider
Overall 9%
anthropic-claude-3-opus
gradient_ai
In $15.0000 / 1M tokens
Out $75.0000 / 1M tokens
Output: unknown
Low overlap
1.0K
Same provider
Overall 8%
us.writer.palmyra-x4-v1:0
bedrock_converse
In $2.5000 / 1M tokens
Out $10.0000 / 1M tokens
pdftext
Output: text
Low overlap
8.2K
Partial I/O overlap
Overall 2%
ai21.jamba-1-5-large-v1:0
Bedrock
In $2.0000 / 1M tokens
Out $8.0000 / 1M tokens
text
Output: text
Low overlap
256.0K
Partial I/O overlap
Overall 2%
ai21.j2-mid-v1
Bedrock
In $12.5000 / 1M tokens
Out $12.5000 / 1M tokens
text
Output: text
Low overlap
8.2K
Partial I/O overlap
Overall 1%
ai21.j2-ultra-v1
Bedrock
In $18.8000 / 1M tokens
Out $18.8000 / 1M tokens
text
Output: text
Low overlap
8.2K
Partial I/O overlap
Overall 1%