mistral-medium-3@001
vertex_ai-mistral_models · chat model
mistral-medium-3@001 is listed here as a chat model from vertex_ai-mistral_models. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.4000 / 1M tokens
Output
$2.0000 / 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 | $0.4000 / 1M tokens |
| Output | $2.0000 / 1M tokens |
| Embedding | $0.4000 / 1M tokens |
Token limits
Context window
8.2K
Max input tokens
128.0K
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 |
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-medium-3@001 vertex_ai-mistral_models | In $0.4000 / 1M tokens Out $2.0000 / 1M tokens |
Output: unknown | Function callingTool choice | 8.2K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| mistral-medium-2505 azure_ai | In $0.4000 / 1M tokens Out $2.0000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 8.2K | Partial I/O overlap Overall 60% |
| mistral-medium-3 vertex_ai-mistral_models | In $0.4000 / 1M tokens Out $2.0000 / 1M tokens |
Output: unknown | Function callingTool choice | 8.2K | Same provider Overall 60% |
| mistral-medium-3@001 vertex_ai-mistral_models | In $0.4000 / 1M tokens Out $2.0000 / 1M tokens |
Output: unknown | Function callingTool choice | 8.2K | Same provider Overall 60% |
| mistral-medium-3 vertex_ai-mistral_models | In $0.4000 / 1M tokens Out $2.0000 / 1M tokens |
Output: unknown | Function callingTool choice | 8.2K | Same provider Overall 60% |
| moonshot-v1-8k moonshot | In $0.2000 / 1M tokens Out $2.0000 / 1M tokens |
Output: unknown | Function callingTool choice | 8.2K | Partial I/O overlap Overall 55% |
| moonshot-v1-8k-0430 moonshot | In $0.2000 / 1M tokens Out $2.0000 / 1M tokens |
Output: unknown | Function callingTool choice | 8.2K | Partial I/O overlap Overall 55% |
| mistral.devstral-2-123b bedrock_converse | In $0.4000 / 1M tokens Out $2.0000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 8.2K | Partial I/O overlap Overall 52% |
| mistral-small-2503@001 vertex_ai-mistral_models | In $1.0000 / 1M tokens Out $3.0000 / 1M tokens |
Output: unknown | Function callingTool choice | 8.2K | Same provider Overall 51% |
| gpt-3.5-turbo Azure | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Partial I/O overlap Overall 48% |
| gpt-35-turbo Azure | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Partial I/O overlap Overall 48% |
| mistral-large-2411 vertex_ai-mistral_models | In $2.0000 / 1M tokens Out $6.0000 / 1M tokens |
Output: unknown | Function callingTool choice | 8.2K | Same provider Overall 45% |
| mistral-large@2407 vertex_ai-mistral_models | In $2.0000 / 1M tokens Out $6.0000 / 1M tokens |
Output: unknown | Function callingTool choice | 8.2K | Same provider Overall 45% |
| Kimi-K2-Instruct deepinfra | In $0.5000 / 1M tokens Out $2.0000 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Partial I/O overlap Overall 44% |
| Kimi-K2-Instruct-0905 deepinfra | In $0.5000 / 1M tokens Out $2.0000 / 1M tokens | text
Output: text | Function callingTool choice | 262.1K | Partial I/O overlap Overall 44% |
| gpt-35-turbo-16k-0613 Azure | In $3.0000 / 1M tokens Out $4.0000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Partial I/O overlap Overall 39% |
| 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 | Partial I/O overlap Overall 38% |
| devstral-medium-2507 Mistral | In $0.4000 / 1M tokens Out $2.0000 / 1M tokens | text
Output: text | Function callingTool choice | 128.0K | Partial I/O overlap Overall 38% |
| devstral-latest Mistral | In $0.4000 / 1M tokens Out $2.0000 / 1M tokens | text
Output: text | Function callingTool choice | 256.0K | Partial I/O overlap Overall 37% |
| devstral-medium-latest Mistral | In $0.4000 / 1M tokens Out $2.0000 / 1M tokens | text
Output: text | Function callingTool choice | 256.0K | Partial I/O overlap Overall 37% |
| gpt-4 Azure | In $30.0000 / 1M tokens Out $60.0000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 4.1K | Partial I/O overlap Overall 33% |
| gpt-4-0613 Azure | In $30.0000 / 1M tokens Out $60.0000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Partial I/O overlap Overall 33% |
| GLM-4.7-FP8 gmi | In $0.4000 / 1M tokens Out $2.0000 / 1M tokens |
Output: unknown | Low overlap | 16.4K | Partial I/O overlap Overall 27% |
No models match this filter.