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feat: upgrade MiniMax default model to M2.7
- Add MiniMax-M2.7 and MiniMax-M2.7-lightning to model list - Set MiniMax-M2.7 as default model - Keep all previous models as alternatives - Update provider documentation with new model entries
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4 changed files with 69 additions and 1 deletions
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@ -11,10 +11,14 @@ Litellm provides anthropic specs compatible support for minmax
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## Supported Models
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MiniMax offers three models through their Anthropic-compatible API:
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MiniMax offers the following models through their Anthropic-compatible API:
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| Model | Description | Input Cost | Output Cost | Prompt Caching Read | Prompt Caching Write |
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|-------|-------------|------------|-------------|---------------------|----------------------|
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| **MiniMax-M2.7** | Latest flagship model with enhanced reasoning and coding | $0.3/M tokens | $1.2/M tokens | $0.03/M tokens | $0.375/M tokens |
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| **MiniMax-M2.7-lightning** | High-speed version of M2.7 for low-latency scenarios | $0.3/M tokens | $2.4/M tokens | $0.03/M tokens | $0.375/M tokens |
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| **MiniMax-M2.5** | Advanced reasoning, Agentic capabilities | $0.3/M tokens | $1.2/M tokens | $0.03/M tokens | $0.375/M tokens |
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| **MiniMax-M2.5-lightning** | High-speed version of M2.5 | $0.3/M tokens | $2.4/M tokens | $0.03/M tokens | $0.375/M tokens |
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| **MiniMax-M2.1** | Powerful Multi-Language Programming with Enhanced Programming Experience (~60 tps) | $0.3/M tokens | $1.2/M tokens | $0.03/M tokens | $0.375/M tokens |
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| **MiniMax-M2.1-lightning** | Faster and More Agile (~100 tps) | $0.3/M tokens | $2.4/M tokens | $0.03/M tokens | $0.375/M tokens |
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| **MiniMax-M2** | Agentic capabilities, Advanced reasoning | $0.3/M tokens | $1.2/M tokens | $0.03/M tokens | $0.375/M tokens |
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@ -17,6 +17,10 @@ class MinimaxChatConfig(OpenAIGPTConfig):
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- China: https://api.minimaxi.com/v1
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Supported models:
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- MiniMax-M2.7
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- MiniMax-M2.7-lightning
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- MiniMax-M2.5
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- MiniMax-M2.5-lightning
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- MiniMax-M2.1
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- MiniMax-M2.1-lightning
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- MiniMax-M2
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@ -21142,6 +21142,36 @@
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"max_input_tokens": 1000000,
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"max_output_tokens": 8192
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},
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"minimax/MiniMax-M2.7": {
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"input_cost_per_token": 3e-07,
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"output_cost_per_token": 1.2e-06,
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"cache_read_input_token_cost": 3e-08,
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"cache_creation_input_token_cost": 3.75e-07,
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"litellm_provider": "minimax",
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"mode": "chat",
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"supports_function_calling": true,
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"supports_tool_choice": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_system_messages": true,
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"max_input_tokens": 1000000,
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"max_output_tokens": 8192
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},
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"minimax/MiniMax-M2.7-lightning": {
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"input_cost_per_token": 3e-07,
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"output_cost_per_token": 2.4e-06,
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"cache_read_input_token_cost": 3e-08,
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"cache_creation_input_token_cost": 3.75e-07,
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"litellm_provider": "minimax",
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"mode": "chat",
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"supports_function_calling": true,
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"supports_tool_choice": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_system_messages": true,
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"max_input_tokens": 1000000,
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"max_output_tokens": 8192
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},
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"minimax/MiniMax-M2.5": {
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"input_cost_per_token": 3e-07,
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"output_cost_per_token": 1.2e-06,
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@ -21142,6 +21142,36 @@
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"max_input_tokens": 1000000,
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"max_output_tokens": 8192
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},
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"minimax/MiniMax-M2.7": {
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"input_cost_per_token": 3e-07,
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"output_cost_per_token": 1.2e-06,
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"cache_read_input_token_cost": 3e-08,
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"cache_creation_input_token_cost": 3.75e-07,
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"litellm_provider": "minimax",
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"mode": "chat",
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"supports_function_calling": true,
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"supports_tool_choice": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_system_messages": true,
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"max_input_tokens": 1000000,
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"max_output_tokens": 8192
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},
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"minimax/MiniMax-M2.7-lightning": {
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"input_cost_per_token": 3e-07,
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"output_cost_per_token": 2.4e-06,
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"cache_read_input_token_cost": 3e-08,
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"cache_creation_input_token_cost": 3.75e-07,
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"litellm_provider": "minimax",
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"mode": "chat",
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"supports_function_calling": true,
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"supports_tool_choice": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_system_messages": true,
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"max_input_tokens": 1000000,
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"max_output_tokens": 8192
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},
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"minimax/MiniMax-M2.5": {
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"input_cost_per_token": 3e-07,
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"output_cost_per_token": 1.2e-06,
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