mistral-large
vercel_ai_gateway · chat model
mistral-large is listed here as a chat model from vercel_ai_gateway. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$2.0000 / 1M tokens
Output
$6.0000 / 1M tokens
Cached input
N/A
Context
4.0K
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 | $2.0000 / 1M tokens |
| Output | $6.0000 / 1M tokens |
| Embedding | $2.0000 / 1M tokens |
Token limits
Context window
4.0K
Max input tokens
32.0K
Max output tokens
4.0K
Max tokens
4.0K
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 | — |
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 vercel_ai_gateway | In $2.0000 / 1M tokens Out $6.0000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 4.0K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| mistral-large-2407 azure_ai | In $2.0000 / 1M tokens Out $6.0000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 4.1K | Partial I/O overlap Overall 88% Missing image |
| mistral-large-latest azure_ai | In $2.0000 / 1M tokens Out $6.0000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 4.1K | Partial I/O overlap Overall 88% Missing image |
| pixtral-large vercel_ai_gateway | In $2.0000 / 1M tokens Out $6.0000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 4.0K | Same provider Overall 88% |
| grok-2 vercel_ai_gateway | In $2.0000 / 1M tokens Out $10.0000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 4.0K | Same provider Overall 84% Missing image |
| command-r-plus vercel_ai_gateway | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 4.1K | Same provider Overall 81% Missing image |
| gpt-4 Azure | In $30.0000 / 1M tokens Out $60.0000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 4.1K | Text + image covered Overall 81% |
| eu.mistral.pixtral-large-2502-v1:0 bedrock_converse | In $2.0000 / 1M tokens Out $6.0000 / 1M tokens | imagetext
Output: image, text | Function calling | 4.1K | Text + image covered Overall 79% |
| mistral-medium-2505 azure_ai | In $0.4000 / 1M tokens Out $2.0000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 8.2K | Text + image covered Overall 78% |
| grok-3 vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 131.1K | Same provider Overall 76% |
| magistral-medium vercel_ai_gateway | In $2.0000 / 1M tokens Out $5.0000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 64.0K | Same provider Overall 76% |
| grok-4 vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 256.0K | Same provider Overall 76% |
| claude-3-7-sonnet-latest deepinfra | In $3.3000 / 1M tokens Out $16.5000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 200.0K | Text + image covered Overall 75% |
| claude-4-sonnet deepinfra | In $3.3000 / 1M tokens Out $16.5000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 200.0K | Text + image covered Overall 75% |
| pixtral-large-2411 Mistral | In $2.0000 / 1M tokens Out $6.0000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 128.0K | Text + image covered Overall 73% |
| open-mixtral-8x22b Mistral | In $2.0000 / 1M tokens Out $6.0000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 8.2K | Partial I/O overlap Overall 72% Missing image |
| claude-4-sonnet vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | imagetext file
Output: text | Function callingTool choice | 64.0K | Same provider Overall 68% |
| claude-4-opus deepinfra | In $16.5000 / 1M tokens Out $82.5000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 200.0K | Text + image covered Overall 67% |
| gemma-3-12b-it deepinfra | In $0.0500 / 1M tokens Out $0.1000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 131.1K | Text + image covered Overall 66% |
| mistral-large-2411 Mistral | In $2.0000 / 1M tokens Out $6.0000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 128.0K | Partial I/O overlap Overall 65% Missing image |
| gemini-2.5-pro deepinfra | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | imagetext audiocode
Output: text | Function callingTool choice | 1.0M | Text + image covered Overall 63% |
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