mistral-large-2411
Mistral · chat model
mistral-large-2411 is listed here as a chat model from Mistral. 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
128.0K
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
128.0K
Max input tokens
128.0K
Max output tokens
128.0K
Max tokens
128.0K
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
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-2411 Mistral | In $2.0000 / 1M tokens Out $6.0000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 128.0K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| mistral-large-2407 Mistral | In $3.0000 / 1M tokens Out $9.0000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 128.0K | Same provider Overall 93% |
| o3-mini vercel_ai_gateway | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 100.0K | Text covered Overall 90% |
| open-mixtral-8x22b Mistral | In $2.0000 / 1M tokens Out $6.0000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 8.2K | Same provider Overall 86% |
| devstral-medium-2507 Mistral | In $0.4000 / 1M tokens Out $2.0000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 128.0K | Same provider Overall 85% |
| deepseek-r1-distill-llama-70b vercel_ai_gateway | In $0.7500 / 1M tokens Out $0.9900 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 131.1K | Text covered Overall 85% |
| grok-4 azure_ai | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 131.1K | Text covered Overall 84% |
| pixtral-large-2411 Mistral | In $2.0000 / 1M tokens Out $6.0000 / 1M tokens | text image
Output: text | Function callingTool choiceResponse schema | 128.0K | Same provider Overall 82% |
| magistral-medium-2506 Mistral | In $2.0000 / 1M tokens Out $5.0000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 40.0K | Same provider Overall 82% |
| magistral-medium-2509 Mistral | In $2.0000 / 1M tokens Out $5.0000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 40.0K | Same provider Overall 82% |
| mixtral-8x22b-instruct-hf fireworks_ai | In $1.2000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 65.5K | Text covered Overall 80% |
| command-a vercel_ai_gateway | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 8.0K | Text covered Overall 80% |
| magistral-medium vercel_ai_gateway | In $2.0000 / 1M tokens Out $5.0000 / 1M tokens | text image
Output: text | Function callingTool choiceResponse schema | 64.0K | Text covered Overall 79% |
| 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 | Text covered Overall 78% |
| minimax-m2p1 fireworks_ai | In $0.3000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 204.8K | Text covered Overall 78% |
| mistral-large-2407 azure_ai | In $2.0000 / 1M tokens Out $6.0000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Text covered Overall 77% |
| mistral-large-latest azure_ai | In $2.0000 / 1M tokens Out $6.0000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Text covered Overall 77% |
| 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 | Text covered Overall 76% |
| kimi-k2-instruct fireworks_ai | In $0.6000 / 1M tokens Out $2.5000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 16.4K | Text covered Overall 74% |
| firefunction-v2 fireworks_ai | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 8.2K | Text covered Overall 72% |
| pixtral-large-latest Mistral | In $2.0000 / 1M tokens Out $6.0000 / 1M tokens | text
Output: unknown | Function callingTool choiceResponse schema | 128.0K | Same provider Overall 54% Missing text |
| eu.mistral.pixtral-large-2502-v1:0 bedrock_converse | In $2.0000 / 1M tokens Out $6.0000 / 1M tokens | text image
Output: image, text | Function calling | 4.1K | Text covered Overall 49% |
No models match this filter.