Type
Spec
Rate
Input
per 1M prompt tokens
$0.63
Output
per 1M generated tokens
$3.13
Seed 2.1 Turbo and MiniMax M3 side by side: specs, capabilities, parameters, and live pricing from the EmpirioLabs catalog.
ByteDance 
MiniMax Text GenerationSeed 2.1 Turbo from ByteDance and MiniMax M3 from MiniMax are both in the Text Generation category, available through the EmpirioLabs API.
| Spec | Seed 2.1 Turbo | MiniMax M3 |
|---|---|---|
| Model ID | seed-2-1-turbo | minimax-m3 |
| Author | ByteDance | MiniMax |
| Released | Jul 13, 2026 | Jun 1, 2026 |
| Context window | 229.1K tokens | 1M tokens |
| Max output | 65,536 tokens | 524,288 tokens |
| Input | Text Image Video | Text Image Video |
| Output | Text | Text |
| Structured output | JSON Schema | Not supported |
| Region | Malaysia | Singapore |
| Endpoints | POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1beta/models/seed-2-1-turbo:generateContent | POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1beta/models/minimax-m3:generateContent |
| Capabilities |
Live rates from the EmpirioLabs catalog for both models. Each rate card always matches what the API charges.
Request parameters each model lists on EmpirioLabs, with the allowed values or range where one applies. A dash marks a parameter the model does not list.
| Parameter | Seed 2.1 Turbo | MiniMax M3 |
|---|---|---|
| max_tokens | 1 to 65536 | - |
| frequency_penalty | -2 to 2 Default: 0 | - |
| presence_penalty | -2 to 2 Default: 0 | - |
| stop | string | array |
| enable_thinking | boolean Default: true | boolean Default: true |
| reasoning_effort | low, medium, high Default: high | - |
| enable_web_search | boolean Default: false | - |
| max_tool_calls | 1 to 10 Default: 3 | - |
| image_detail | low, high, xhigh Default: high | - |
| video_fps | 0.2 to 5 | - |
| response_format | enum | - |
| max_completion_tokens | - | 1 to 524288 Default: 4096 |
| tool_web_search | - | boolean Default: false |
| tools | - | array |
| tool_choice | - | object |
| disable_formatting | - | boolean Default: false |
Per-token pricing is flat across the full context window, with no higher rate above 128K. Reasoning is on by default; set enable_thinking to false to answer directly without it.
Text, image, and video input with text output. Thinking defaults to adaptive and can be disabled. Pricing is based on input tokens including cache hits: <=512K uses the discounted standard tier, while >512K uses the high-context tier. Supports up to 1M input tokens. Set tool_web_search to true to let the model search the web; each executed search is billed, and one request can run several searches. Answers that used web search end with a Sources list unless disable_formatting is true. Structured output through response_format is not supported; ask for JSON in the prompt instead.
Seed 2.1 Turbo serves the OpenAI-compatible Chat Completions API. Point any OpenAI SDK at https://api.empiriolabs.ai/v1 with your EmpirioLabs API key and use the model id seed-2-1-turbo. Both models are called through the same endpoint. Set model to seed-2-1-turbo or minimax-m3. Get an API key from the EmpirioLabs dashboard.
curl https://api.empiriolabs.ai/v1/chat/completions \
-H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "seed-2-1-turbo",
"messages": [
{"role": "user", "content": "Write a haiku about the ocean."}
]
}'Prompt tests and comparison runs that cover both models.
Seed 2.1 Turbo is the newer release (Jul 13, 2026); MiniMax M3 was released on Jun 1, 2026. MiniMax M3 has the larger context window: 1M tokens, against 229.1K for Seed 2.1 Turbo. MiniMax M3 returns up to 524,288 output tokens per response, Seed 2.1 Turbo up to 65,536. The specs, rate cards, and parameters on this page come from the live EmpirioLabs catalog.
Seed 2.1 Turbo is the newer release (Jul 13, 2026); MiniMax M3 was released on Jun 1, 2026.
The two models are priced on different units or tiers, so compare the live rate cards on this page. They always match what the API charges.
Yes. Both models use POST /v1/chat/completions with the same EmpirioLabs API key, so most integrations switch by changing the model value. Check the parameters table on this page first if you rely on a model-specific parameter.
Yes. Open each model in the EmpirioLabs playground and run the same prompt on both, with the parameters the API exposes.
Check out our pricing or reach out if you want your own model deployed on our stack.
