MiniMax M3.1 Flash
Newminimax/minimax-m3.1-flash-20261019
This model processes text, image, and video inputs to generate text outputs. It has a context length of 1,048,576 tokens and supports tool use and reasoning. Input pricing is $0.15 per million tokens, while output pricing is $0.6 per million tokens.
- tool use
- structured outputs
- reasoning
At a glance
Specifications
What the API gives you
- Context window
- 1.0M tokens
- Max output
- 524K tokens
- Input price
- $0.15 / 1M tokens
- Output price
- $0.60 / 1M tokens
- Cache read
- $0.015 / 1M tokens
- Modalities
- text, image, video → text
- Knowledge cutoff
- —
- Released
- Oct 19, 2026
Measured evidence
Public benchmark record
- LMArena WebDev
- 1590 Elo2026-10-22
LMArena data licensed CC-BY-4.0. Aider (Apache-2.0) and SWE-bench (MIT) are open. Design Arena uses blind human preference.
Open-weight model on Hugging Face.
Task evidence
How broad is the support?
Each status is exact to this model version and the selected task. Official release claims remain provisional.
- Best LLM for Code CompletionProvisional evidence
36% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Aider Polyglot or LiveBench Coding. 3 of 3 configured evaluation feeds currently have results.
- Best LLM for Frontend & UIProvisional evidence
27% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Design Arena Coding or Design Arena UI. 6 of 6 configured evaluation feeds currently have results.
- Best Local LLM for CodingProvisional evidence
21% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Aider Polyglot or LiveBench Coding. 4 of 4 configured evaluation feeds currently have results.
- Best LLM for CodingProvisional evidence
20% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Aider Polyglot or Design Arena Coding. 7 of 7 configured evaluation feeds currently have results.
- Best LLM for Debugging & Code ReviewProvisional evidence
17% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Aider Polyglot or LiveBench Coding. 5 of 5 configured evaluation feeds currently have results.
Recommendation coverage
Where this model appears
Not currently included in a published recommendation. The task evidence panel above says exactly what is confirmed and what is still missing.
Catalog data via OpenRouter and models.dev. Last checked within the past 6 hours.