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feat: upgrade MiniMax default model to M3 #438

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64dc033
Add MiniMax as a supported LLM provider
octo-patch Mar 15, 2026
78e5e6c
feat: upgrade MiniMax default model to M2.7
Mar 18, 2026
f692811
feat: upgrade MiniMax default model to M3
Jun 2, 2026
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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
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PR Bot
PR Bot committed Mar 18, 2026
commit 78e5e6c7647c12e1968eda74d69e78b22200fa32
8 changes: 4 additions & 4 deletions README.md
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Expand Up @@ -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
Expand Down Expand Up @@ -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

Expand Down Expand Up @@ -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
```

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2 changes: 1 addition & 1 deletion configs/README.md
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Expand Up @@ -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:
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8 changes: 4 additions & 4 deletions configs/minimax_config.yaml
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@@ -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:
Expand All @@ -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
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