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Mistral-Nemo-Instruct-2407

ovhcloud · chat model

Mistral-Nemo-Instruct-2407 is listed here as a chat model from ovhcloud. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$0.1300 / 1M tokens
Output
$0.1300 / 1M tokens
Cached input
N/A
Context
118.0K

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
$0.1300 / 1M tokens
Output
$0.1300 / 1M tokens
Embedding
$0.1300 / 1M tokens

Token limits

Context window
118.0K
Max input tokens
118.0K
Max output tokens
118.0K
Max tokens
118.0K

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
Mistral-Nemo-Instruct-2407
ovhcloud
In $0.1300 / 1M tokens
Out $0.1300 / 1M tokens
Output: unknown
Function callingTool choiceResponse schema
118.0K
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
Mistral-7B-Instruct-v0.3
ovhcloud
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
Output: unknown
Function callingTool choiceResponse schema
127.0K
Same provider
Overall 54%
Llama-3.1-8B-Instruct
ovhcloud
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
Output: unknown
Function callingTool choiceResponse schema
131.0K
Same provider
Overall 54%
devstral-small-2505
Mistral
In $0.1000 / 1M tokens
Out $0.3000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
128.0K
Partial I/O overlap
Overall 51%
devstral-small-2507
Mistral
In $0.1000 / 1M tokens
Out $0.3000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
128.0K
Partial I/O overlap
Overall 51%
pixtral-12b-2409
Mistral
In $0.1500 / 1M tokens
Out $0.1500 / 1M tokens
imagetext
Output: text
Function callingTool choiceResponse schema
128.0K
Partial I/O overlap
Overall 50%
devstral-small
vercel_ai_gateway
In $0.0700 / 1M tokens
Out $0.2800 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
128.0K
Partial I/O overlap
Overall 49%
Mistral-Small-3.2-24B-Instruct-2506
ovhcloud
In $0.0900 / 1M tokens
Out $0.2800 / 1M tokens
Output: unknown
Function callingTool choiceResponse schema
128.0K
Same provider
Overall 44%
devstral-small-latest
Mistral
In $0.1000 / 1M tokens
Out $0.3000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
256.0K
Partial I/O overlap
Overall 44%
Meta-Llama-3_3-70B-Instruct
ovhcloud
In $0.6700 / 1M tokens
Out $0.6700 / 1M tokens
Output: unknown
Function callingTool choiceResponse schema
131.0K
Same provider
Overall 42%
Meta-Llama-3.1-8B-Instruct
sambanova
In $0.1000 / 1M tokens
Out $0.2000 / 1M tokens
Output: unknown
Function callingTool choiceResponse schema
16.4K
Partial I/O overlap
Overall 41%
minimax-m2p1
fireworks_ai
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
204.8K
Partial I/O overlap
Overall 39%
DeepSeek-R1-Distill-Llama-70B
ovhcloud
In $0.6700 / 1M tokens
Out $0.6700 / 1M tokens
Output: unknown
Function callingTool choiceResponse schema
131.0K
Same provider
Overall 36%
Qwen3-32B
ovhcloud
In $0.0800 / 1M tokens
Out $0.2300 / 1M tokens
Output: unknown
Function callingTool choiceResponse schema
32.0K
Same provider
Overall 35%
kimi-k2p5
fireworks_ai
In $0.6000 / 1M tokens
Out $3.0000 / 1M tokens
imagetext
Output: text
Function callingTool choiceResponse schema
262.1K
Partial I/O overlap
Overall 34%
hermes-2-pro-llama-3-8b
novita
In $0.1400 / 1M tokens
Out $0.1400 / 1M tokens
text
Output: text
Tool choiceResponse schema
8.2K
Partial I/O overlap
Overall 32%
kimi-k2-instruct-0905
fireworks_ai
In $0.6000 / 1M tokens
Out $2.5000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
32.8K
Partial I/O overlap
Overall 32%
kimi-k2-instruct
fireworks_ai
In $0.6000 / 1M tokens
Out $2.5000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
16.4K
Partial I/O overlap
Overall 30%
mistral-7b-instruct
OpenRouter
In $0.1300 / 1M tokens
Out $0.1300 / 1M tokens
Output: unknown
Tool choice
8.2K
Partial I/O overlap
Overall 29%
firefunction-v2
fireworks_ai
In $0.9000 / 1M tokens
Out $0.9000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
8.2K
Partial I/O overlap
Overall 29%
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
Partial I/O overlap
Overall 29%
llama-v3p1-405b-instruct
fireworks_ai
In $3.0000 / 1M tokens
Out $3.0000 / 1M tokens
text
Output: text
Function callingTool choiceResponse schema
16.4K
Partial I/O overlap
Overall 28%
chat-bison
palm
In $0.1250 / 1M tokens
Out $0.1250 / 1M tokens
Output: unknown
Low overlap
4.1K
Partial I/O overlap
Overall 20%
chat-bison-001
palm
In $0.1250 / 1M tokens
Out $0.1250 / 1M tokens
Output: unknown
Low overlap
4.1K
Partial I/O overlap
Overall 20%
zephyr-7b-beta
anyscale
In $0.1500 / 1M tokens
Out $0.1500 / 1M tokens
Output: unknown
Low overlap
16.4K
Partial I/O overlap
Overall 19%