MiniMax-AI / MiniMax-AI/MiniMax-M3
[M3 Request] Claude Code 2.1.154+ sends MiniMax-M3 a reduced system prompt by default — please add CLAUDE_CODE_SIMPLE_SYSTEM_PROMPT=0 to your docs
Nobody has claimed this yet.
- Dominant language
- No language data
- Stars
- 487
- Forks
- 59
- PR merge metrics
- No merged PRs in 30d
Description
Summary
Claude Code has two system prompts: full and lean (short). Since v2.1.154 (released 2026-05-28), the lean prompt is the default for all non-Claude model IDs. So MiniMax-M3 gets the short prompt. The short prompt removes many instructions that teach the model how to work as a coding agent.
Result: MiniMax-M3 looks much weaker inside Claude Code than it really is. One environment variable fixes this. It is missing from your docs (https://platform.minimax.io/docs/token-plan/claude-code).
How to verify (5 minutes)
- Install Claude Code >= 2.1.154 and connect it to MiniMax as described in your docs.
- Run
claudein any folder. Type/context. Note the "System prompt" size: about 1.7k tokens. This is the lean prompt. - Add this key inside the
"env"block of~/.claude/settings.json. Do not replace the file — only add this one key:
"CLAUDE_CODE_SIMPLE_SYSTEM_PROMPT": "0"
Example of a full file (based on your docs):
{
"env": {
"ANTHROPIC_AUTH_TOKEN": "YOUR_MINIMAX_API_KEY",
"ANTHROPIC_BASE_URL": "https://api.minimax.io/anthropic",
"CLAUDE_CODE_AUTO_COMPACT_WINDOW": "1000000",
"CLAUDE_CODE_SIMPLE_SYSTEM_PROMPT": "0"
}
}
- Restart
claude. Run/contextagain: about 7k tokens. This is the full prompt. - Optional exact proof: dump raw API requests with
OTEL_LOG_RAW_API_BODIES=file:/tmp/ccdumpand compare thesystemfield between the two runs.
Measurements
Two live runs, clean config (no user MCP servers), empty folder, Claude Code 2.1.251, model MiniMax-M3. Verified with raw request dumps, 2026-08-31.
| Layer | Full (=0) | Lean (default) | Change |
|---|---|---|---|
| System prompt | 27,830 chars | 6,443 chars | -77% |
| All tool descriptions | 56,362 chars | 38,313 chars | -32% |
| Bash tool description | 9,813 chars | 1,265 chars | -87% |
| WebSearch tool description | 1,319 chars | 309 chars | -77% |
| Agent tool description | 6,926 chars | 1,668 chars | -76% |
| WebFetch tool description | 1,503 chars | 374 chars | -75% |
| Edit tool description | 1,094 chars | 360 chars | -67% |
| Read tool description | 1,830 chars | 838 chars | -54% |
| Write tool description | 618 chars | 240 chars | -61% |
Note: exact totals can shift slightly when Claude Code enables or disables a server-side experiment tool, but the lean/full split stays the same.
What MiniMax-M3 loses in lean mode
- The "Doing tasks" section: the engineering discipline rules (prefer editing existing files, no abstractions beyond what the task requires, no half-finished work, test UI changes in a browser, and more).
- Prompt injection detection for tool results (WebFetch / MCP / web content). Completely absent in lean mode (verified in the dumps: 3 mentions in the full prompt, 0 in the lean prompt).
- Rules for parallel tool calls (reduced from a detailed section to a single line).
- Delegation guidance from the system prompt — when to use subagents and the Explore agent (the shortened Agent tool description keeps only the bare core).
- Most of the Bash tool description: git workflow, PR creation steps, background task handling (-87% of characters).
Anthropic wrote in the v2.1.154 release notes: "The lean system prompt is now the default for all models except Haiku, Sonnet, and Opus 4.7 and earlier."
This works for their newest Claude models, which are trained to follow these rules without the explicit text. For MiniMax-M3 the result is different: in everyday use, the same model follows instructions much better with the full prompt — fewer mistakes and fewer repeated steps. Repeated steps also consume Token Plan quota faster.
Why the settings in your docs do not fix this
Your Claude Code page recommends ANTHROPIC_BASE_URL, ANTHROPIC_AUTH_TOKEN and CLAUDE_CODE_AUTO_COMPACT_WINDOW. None of these change the prompt shape. We also verified with raw request dumps that CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC=1 does not restore the full prompt: the CLI applies the lean prompt to non-Claude model IDs unconditionally.
Only CLAUDE_CODE_SIMPLE_SYSTEM_PROMPT=0 restores the full prompt. This is an official, documented option. From https://code.claude.com/docs/en/env-vars: "Set to 0, false, no, or off to opt out even on models where the experiment or server configuration would otherwise enable it. The full tool set, hooks, MCP servers, and CLAUDE.md discovery remain enabled."
Request
Please add "CLAUDE_CODE_SIMPLE_SYSTEM_PROMPT": "0" to the env block in https://platform.minimax.io/docs/token-plan/claude-code (and to any MiniMax coding-plan setup tooling, if one exists).
One line, officially supported by Claude Code, and it restores full agent quality for all Token Plan users in Claude Code.
References
- Release notes v2.1.154 (published 2026-05-28): https://github.com/anthropics/claude-code/releases/tag/v2.1.154
- Official env vars docs: https://code.claude.com/docs/en/env-vars
- Independent comparison and security note (same split measured on a Claude model): https://github.com/CherryHQ/cherry-studio/pull/18028
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Open the Claude Code documentation page linked in the issue and locate the existing environment-variable block for MiniMax setup. Add CLAUDE_CODE_SIMPLE_SYSTEM_PROMPT with value 0, preserve the JSON formatting, and verify that the example remains valid and matches the requested configuration.
Written by the indexing model from the issue text.
Assessment
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 1/5
- Estimated time
- Under an hour
- Activity status
- Active
- Clarity
- Clearly specified
- Newbie friendliness
- 90/100