MiniMax M3
by MiniMaxminimax/minimax-m3
LLMCompare cannot run MiniMax M3 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 nowMiniMax M3 at a glance
- Context length
- 1,048,576 tokens
- Maximum output
- 512,000 tokens
- Accepts
- Text, Image, Video
- Returns
- Text
- Features
- JSON outputTool callingPrompt cachingImage input
- Reasoning effort levels
- Not supported
- Released
- 31 May 2026
- Knowledge cutoff
- Not published
Model facts synced from the OpenRouter model list on 21 Oct 2026.
MiniMax M3 pricing by route
A route is the service LLMCompare calls to reach the model. MiniMax M3 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 | $0.30 | $1.20 | $0.06 | openrouter.ai/minimax/minimax-m3 |
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 MiniMax M3 costs. The starting numbers are examples. Change them to match your task.
Part of the input tokens above, billed at the cache read price.
- Cost per call
- $0.0009
- 2 credits
- Cost of 100 calls
- $0.09
- 200 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 512,000 | Provider default |
seed | Integer | -2,147,483,648 to 4,294,967,295 | Provider default |
response_format | One of | textjson_object | Provider default |
About MiniMax M3
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...
Description as published for this model. LLMCompare has not edited it.
Models to compare with MiniMax M3
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 |
|---|---|---|---|---|---|---|---|---|
MiniMax M2.7MiniMaxminimax/minimax-m2.7 | 205k | 131k | $0.30 | $1.20 | JSONToolsCache | No route yet | ||
MiniMax M2-herMiniMaxminimax/minimax-m2-her | 65.5k | 2k | $0.30 | $1.20 | Cache | No route yet | ||
MiniMax M2.1MiniMaxminimax/minimax-m2.1 | 205k | 131k | $0.30 | $1.20 | JSONToolsCache | No route yet | ||
Muse Glimmer 30BMetameta/muse-glimmer-30b | 131k | 16.4k | $0.30 | $1.20 | ReasoningJSONToolsCacheVision | No route yet | ||
LongCat 2.0Meituanmeituan/longcat-2.0 | 1.05M | 262k | $0.30 | $1.20 | ToolsCache | No route yet | ||
GLM 5.3Z.aiz-ai/glm-5.3 | 1.05M | 944k | $0.079 | $1.40 | ReasoningJSONToolsCache | No route yet |
Questions about MiniMax M3
- How much does MiniMax M3 cost?
- On the OpenRouter route, MiniMax M3 costs $0.30 per 1 million input tokens and $1.20 per 1 million output tokens, in US dollars. Input tokens that MiniMax M3 reads from the prompt cache cost $0.06 per 1 million tokens. LLMCompare verified this price on 21 Oct 2026.
- What is the context length of MiniMax M3?
- MiniMax M3 has a context length of 1,048,576 tokens and returns up to 512,000 output tokens in one call.
- What inputs does MiniMax M3 accept?
- MiniMax M3 accepts these inputs: Text, Image, Video. MiniMax M3 returns: Text.
- Can I test MiniMax M3 on my own data?
- Not yet. LLMCompare lists the prices and parameters of MiniMax M3, but no route to MiniMax M3 is configured on LLMCompare, so it cannot be selected for an evaluation.