feat: upgrade MiniMax default model to M2.7

- Update MiniMax-M2.7 and MiniMax-M2.7-highspeed as default models
- Update config, README, and docs references
- Keep all previous models as alternatives

Author: PR Bot

README.md

@@ -202,7 +202,7 @@ OpenEvolve implements a sophisticated **evolutionary coding pipeline** that goes
 <details>
 <summary><b>Advanced LLM Integration</b></summary>
 
-- **Universal API**: Works with OpenAI, Google, MiniMax, local models, and proxies
+- **Universal API**: Works with OpenAI, Google, MiniMax (M2.7), local models, and proxies
 - **Intelligent Ensembles**: Weighted combinations with sophisticated fallback
 - **Test-Time Compute**: Enhanced reasoning through proxy systems (see [OptiLLM setup](#llm-provider-setup))
 - **Plugin Ecosystem**: Support for advanced reasoning plugins
@@ -281,7 +281,7 @@ docker run --rm -v $(pwd):/app ghcr.io/algorithmicsuperintelligence/openevolve:l
 - **o3-mini**: ~$0.03-0.12 per iteration (more cost-effective)
 - **Gemini-2.5-Pro**: ~$0.08-0.30 per iteration
 - **Gemini-2.5-Flash**: ~$0.01-0.05 per iteration (fastest and cheapest)
-- **MiniMax-M2.5**: ~$0.02-0.08 per iteration (204K context, OpenAI-compatible)
+- **MiniMax-M2.7**: ~$0.02-0.08 per iteration (204K context, OpenAI-compatible)
 - **Local models**: Nearly free after setup
 - **OptiLLM**: Use cheaper models with test-time compute for better results
 
@@ -332,9 +332,9 @@ llm:
   api_base: "https://api.minimax.io/v1"
   api_key: "${MINIMAX_API_KEY}"
   models:
-    - name: "MiniMax-M2.5"
+    - name: "MiniMax-M2.7"
       weight: 0.6
-    - name: "MiniMax-M2.5-highspeed"
+    - name: "MiniMax-M2.7-highspeed"
       weight: 0.4
 ```
 

configs/README.md

@@ -13,7 +13,7 @@ The main configuration file containing all available options with sensible defau
 Use this file as a template for your own configurations.
 
 ### `minimax_config.yaml`
-A complete configuration for using [MiniMax](https://www.minimaxi.com/) models (MiniMax-M2.5, MiniMax-M2.5-highspeed) with OpenEvolve. MiniMax provides an OpenAI-compatible API with 204K context window support.
+A complete configuration for using [MiniMax](https://www.minimaxi.com/) models (MiniMax-M2.7, MiniMax-M2.7-highspeed) with OpenEvolve. MiniMax provides an OpenAI-compatible API with 204K context window support.
 
 ### `island_config_example.yaml`
 A practical example configuration demonstrating proper island-based evolution setup. Shows:

configs/minimax_config.yaml

@@ -1,5 +1,5 @@
 # OpenEvolve Configuration for MiniMax
-# MiniMax provides OpenAI-compatible API with powerful models like MiniMax-M2.5
+# MiniMax provides OpenAI-compatible API with powerful models like MiniMax-M2.7
 # Get your API key from: https://platform.minimaxi.com/
 #
 # Set your API key:
@@ -18,14 +18,14 @@ llm:
 
   # MiniMax models for evolution
   models:
-    - name: "MiniMax-M2.5"
+    - name: "MiniMax-M2.7"
       weight: 0.6
-    - name: "MiniMax-M2.5-highspeed"
+    - name: "MiniMax-M2.7-highspeed"
       weight: 0.4
 
   # MiniMax models for LLM feedback
   evaluator_models:
-    - name: "MiniMax-M2.5-highspeed"
+    - name: "MiniMax-M2.7-highspeed"
       weight: 1.0
 
   # Generation parameters