mistral-large
azure_ai · chat model
mistral-large is listed here as a chat model from azure_ai. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$4.0000 / 1M tokens
Output
$12.0000 / 1M tokens
Cached input
N/A
Context
8.2K
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 | $4.0000 / 1M tokens |
| Output | $12.0000 / 1M tokens |
| Embedding | $4.0000 / 1M tokens |
Token limits
Context window
8.2K
Max input tokens
32.0K
Max output tokens
8.2K
Max tokens
8.2K
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 | — |
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-large azure_ai | In $4.0000 / 1M tokens Out $12.0000 / 1M tokens | text
Output: text | Function callingTool choice | 8.2K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| mistral.mistral-large-2407-v1:0 Bedrock | In $3.0000 / 1M tokens Out $9.0000 / 1M tokens | text
Output: text | Function callingTool choice | 8.2K | Text covered Overall 95% |
| mistral-large-2402 Mistral | In $4.0000 / 1M tokens Out $12.0000 / 1M tokens | text
Output: text | Function callingTool choice | 8.2K | Text covered Overall 92% |
| command-r-plus vercel_ai_gateway | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Text covered Overall 87% |
| deepseek-v3-0324 azure_ai | In $1.1400 / 1M tokens Out $4.5600 / 1M tokens | text
Output: text | Function callingTool choice | 8.2K | Same provider Overall 87% |
| command-a vercel_ai_gateway | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens | text
Output: text | Function callingTool choice | 8.0K | Text covered Overall 86% |
| grok-2 vercel_ai_gateway | In $2.0000 / 1M tokens Out $10.0000 / 1M tokens | text
Output: text | Function callingTool choice | 4.0K | Text covered Overall 86% |
| mistral-small azure_ai | In $1.0000 / 1M tokens Out $3.0000 / 1M tokens | text
Output: text | Function callingTool choice | 8.2K | Same provider Overall 85% |
| gpt-35-turbo-16k-0613 Azure | In $3.0000 / 1M tokens Out $4.0000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Text covered Overall 83% |
| mistral-large-2407 azure_ai | In $2.0000 / 1M tokens Out $6.0000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Same provider Overall 83% |
| mistral-large-latest azure_ai | In $2.0000 / 1M tokens Out $6.0000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Same provider Overall 83% |
| gpt-4-0613 Azure | In $30.0000 / 1M tokens Out $60.0000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Text covered Overall 76% |
| gpt-3.5-turbo Azure | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Text covered Overall 75% |
| gpt-35-turbo Azure | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Text covered Overall 75% |
| deepseek-v3 azure_ai | In $1.1400 / 1M tokens Out $4.5600 / 1M tokens | text
Output: text | Tool choice | 8.2K | Same provider Overall 74% |
| Phi-4 azure_ai | In $0.1250 / 1M tokens Out $0.5000 / 1M tokens | text
Output: text | Function callingTool choice | 16.4K | Same provider Overall 73% |
| Llama-3.3-70B-Instruct azure_ai | In $0.7100 / 1M tokens Out $0.7100 / 1M tokens | text
Output: text | Function callingTool choice | 2.0K | Same provider Overall 71% |
| grok-3 vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | text image
Output: text | Function callingTool choice | 131.1K | Text covered Overall 69% |
| claude-3-7-sonnet-latest deepinfra | In $3.3000 / 1M tokens Out $16.5000 / 1M tokens | text image
Output: text | Function callingTool choice | 200.0K | Text covered Overall 69% |
| claude-4-sonnet deepinfra | In $3.3000 / 1M tokens Out $16.5000 / 1M tokens | text image
Output: text | Function callingTool choice | 200.0K | Text covered Overall 69% |
| grok-4 vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | text image
Output: text | Function callingTool choice | 256.0K | Text covered Overall 69% |
| claude-4-sonnet vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | text fileimage
Output: text | Function callingTool choice | 64.0K | Text covered Overall 66% |
| us.amazon.nova-premier-v1:0 bedrock_converse | In $2.5000 / 1M tokens Out $12.5000 / 1M tokens | text imagepdf
Output: text | Function calling | 10.0K | Text covered Overall 57% |
| computer-use-preview Azure | In $3.0000 / 1M tokens Out $12.0000 / 1M tokens | text
Output: text | Function callingTool choice | 1.0K | Partial I/O overlap Overall 43% Missing text |
| computer-use-preview Azure | In $3.0000 / 1M tokens Out $12.0000 / 1M tokens | text
Output: text | Function callingTool choice | 1.0K | Partial I/O overlap Overall 43% Missing text |
| nova-premier-v1 amazon_nova | In $2.5000 / 1M tokens Out $12.5000 / 1M tokens | text pdf
Output: unknown | Function calling | 10.0K | Partial I/O overlap Overall 33% Missing text |
| ft:gpt-4.1-2025-04-14 OpenAI | In $3.0000 / 1M tokens Out $12.0000 / 1M tokens | text
Output: unknown | Function callingTool choice | 32.8K | Partial I/O overlap Overall 30% Missing text |
No models match this filter.