Mistral 7B Instruct V0

Mistral 7B Instruct V0 is a text model from AWS Bedrock with a context window of 32K tokens and max output of 8K tokens. Pricing starts at 0.15 per million input tokens and 0.20 per million output tokens (cheapest at Ollama).

Capabilities

Vision Function Calling Reasoning JSON Schema System Messages Web Search Prompt Caching Audio Input Audio Output

Specifications

Model Keymistral.mistral-7b-instruct-v0:2
ProviderAWS Bedrock
Provider IDbedrock
ModeText
Canonical Namemistral-7b-0.2
Context Window32K tokens
Max Output8K tokens

Pricing

TypePer 1K TokensPer 1M Tokens
Input Tokens0.0001500.150
Output Tokens0.0002000.200

Benchmarks

No benchmark data is available for this model.

Price Comparison by Provider

Compare prices for Mistral 7B Instruct V0 across different providers. The same model may be available through multiple providers at different price points.

Provider
Model Key
Input Price, $
Output Price, $
Replicatereplicate/mistralai/mistral-7b-instruct-v0.20.0500.250
Ollamaollama/mistral-7B-Instruct-v0.2N/AN/A
Fireworks AIfireworks_ai/accounts/fireworks/models/mistral-7b-instruct-v0p20.2000.200
AWS Bedrockbedrock/us-east-1/mistral.mistral-7b-instruct-v0:20.1500.200

All Variants

All available versions, regions, and API endpoints for Mistral 7B Instruct V0.

Model Key
Provider
Mode
Input Price, $
Output Price, $
Context
Max Output
Vision
Functions
bedrock/eu-west-3/mistral.mistral-7b-instruct-v0:2AWS BedrockText0.2000.26032K8Knono
bedrock/us-east-1/mistral.mistral-7b-instruct-v0:2AWS BedrockText0.1500.20032K8Knono
bedrock/us-west-2/mistral.mistral-7b-instruct-v0:2AWS BedrockText0.1500.20032K8Knono
mistral.mistral-7b-instruct-v0:2AWS BedrockText0.1500.20032K8Knono
fireworks_ai/accounts/fireworks/models/mistral-7b-instruct-v0p2Fireworks AIText0.2000.20033K33Knono
fireworks_ai/accounts/fireworks/models/mistral-7b-v0p2Fireworks AIText0.2000.20033K33Knono
ollama/mistral-7B-Instruct-v0.2OllamaTextN/AN/A33K33Knoyes
replicate/mistralai/mistral-7b-instruct-v0.2ReplicateText0.0500.2504K4Knono