Mistral Large 4
by Mistralmistralai/mistral-large-4-0
LLMCompare cannot run Mistral Large 4 yet.No route to this model is configured on this site yet. Its prices and parameters are listed below for reference.
See the models that can be run nowMistral Large 4 at a glance
- Context length
- 1,048,576 tokens
- Maximum output
- 262,144 tokens
- Accepts
- Text, Image
- Returns
- Text
- Features
- ReasoningJSON outputTool callingPrompt cachingImage input
- Reasoning effort levels
highnoneReasoning can be turned off.- Released
- 6 Oct 2026
- Knowledge cutoff
- Not published
Model facts synced from the OpenRouter model list on 21 Oct 2026.
Mistral Large 4 pricing by route
A route is the service LLMCompare calls to reach the model. Mistral Large 4 has 1 route. Prices are in US dollars.
| Route | On LLMCompare | Inputper 1M tokens | Outputper 1M tokens | Cache readper 1M tokens | Price verified on | Source |
|---|---|---|---|---|---|---|
| OpenRouterDefault | Not configured | $1.36 | $4.18 | $0.14 | openrouter.ai/mistralai/mistral-large-4-0 |
The cost shown in an LLMCompare report is calculated from these prices as they were at the time of the run.
Cost calculator
Estimate what a batch of calls to Mistral Large 4 costs. The starting numbers are examples. Change them to match your task.
Part of the input tokens above, billed at the cache read price.
Billed in addition to the output tokens.
- Cost per call
- $0.0035
- 5 credits
- Cost of 100 calls
- $0.345
- 500 credits
Calculated from the OpenRouter prices verified on 21 Oct 2026. Credits are the cost plus a 20% service fee, at $0.001 per credit, rounded up for each call, with a minimum of 1 per call. A real run is charged for the usage the provider reports.
Parameters you can set
These are the parameters LLMCompare can set when it calls the model through OpenRouter.
| Parameter | Type | Range or options | Default |
|---|---|---|---|
temperature | Number | 0 to 2in steps of 0.1 | Provider default |
top_p | Number | 0 to 1in steps of 0.05 | Provider default |
max_tokens | Integer | 1 to 262,144 | Provider default |
reasoning_effort | One of | highnone | high |
seed | Integer | -2,147,483,648 to 4,294,967,295 | Provider default |
response_format | One of | textjson_object | Provider default |
About Mistral Large 4
Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads. It offers a 1M-token context window with up...
Description as published for this model. LLMCompare has not edited it.
Models to compare with Mistral Large 4
Text models from the same provider and models at the nearest price. The order is not a ranking.
| Add to comparison | Model | Context | Max output | Input priceper 1M tokens | Output priceper 1M tokens | Features | Released | On LLMCompare |
|---|---|---|---|---|---|---|---|---|
Mistral Large 2407Mistralmistralai/mistral-large-2407 | 131k | 105k | $2.00 | $6.00 | JSONToolsCache | No route yet | ||
Mixtral 8x22B InstructMistralmistralai/mixtral-8x22b-instruct | 65.5k | 52.4k | $2.00 | $6.00 | JSONToolsCache | No route yet | ||
Mistral LargeMistralmistralai/mistral-large | 128k | 102k | $2.00 | $6.00 | JSONToolsCache | No route yet | ||
Muse Spark OpenMetameta/muse-spark-open | 1.05M | 944k | $1.25 | $4.25 | ReasoningJSONToolsCacheVision | No route yet | ||
Muse Spark 1.3Metameta/muse-spark-1.3 | 1.05M | 944k | $1.25 | $4.25 | ReasoningJSONToolsCacheVision | No route yet | ||
Muse Spark 1.2Metameta/muse-spark-1.2 | 1.05M | 944k | $1.25 | $4.25 | ReasoningJSONToolsCacheVision | No route yet |
Questions about Mistral Large 4
- How much does Mistral Large 4 cost?
- On the OpenRouter route, Mistral Large 4 costs $1.36 per 1 million input tokens and $4.18 per 1 million output tokens, in US dollars. Input tokens that Mistral Large 4 reads from the prompt cache cost $0.14 per 1 million tokens. LLMCompare verified this price on 21 Oct 2026.
- What is the context length of Mistral Large 4?
- Mistral Large 4 has a context length of 1,048,576 tokens and returns up to 262,144 output tokens in one call.
- What inputs does Mistral Large 4 accept?
- Mistral Large 4 accepts these inputs: Text, Image. Mistral Large 4 returns: Text.
- Which reasoning effort levels does Mistral Large 4 support?
- Mistral Large 4 supports these reasoning effort levels: high, none. Reasoning can be turned off for Mistral Large 4.
- Can I test Mistral Large 4 on my own data?
- Not yet. LLMCompare lists the prices and parameters of Mistral Large 4, but no route to Mistral Large 4 is configured on LLMCompare, so it cannot be selected for an evaluation.