MiniMax M3.1 Flash
MiniMax M3.1 FlashAlternatives?
CheaperGPT-6.1 Sollow+5%-41%$0.13Remove unsupported parameters+5
OpenMuse Spark Openxhigh+2%+283%$0.84Reasoning off leaves output unchanged · Self-hosted / llama.cpp+1CheaperGPT-6 Sollow+1%-40%$0.13CheaperGPT-6 Lunaxhighsame-81%$0.042Function calling only with none · Chat Completions+3
CheaperGemini 3.5 Flash Litehighsame-12%$0.19GPT-6.1 Sollow+5%-41%$0.13Remove unsupported parameters+5GPT-6 Sollow+1%-40%$0.13GPT-6 Lunaxhighsame-81%$0.042Function calling only with none · Chat Completions+3Gemini 3.5 Flash Litehighsame-12%$0.19
Ling 3.0 Flash VLthinkingOpensame-66%$0.06 / $0.18Context: 1M → 262KGPT-6.1 Sollow+5%-41%$0.13Remove unsupported parameters+5GPT-6 Solhigh+4%+69%$0.37GPT-5.6 Solmedium+3%+129%$0.50
Claude Opus 5.5low+7%+150%$0.55No forced tool use+5GPT-6 Astralow+7%+271%$0.82Monitoring can return HTTP 403+2Muse Spark OpenxhighOpen+2%+283%$0.84Reasoning off leaves output unchanged · Self-hosted / llama.cpp+1
DeepSeek V4.1 Flash 1017maxOpen+2%+19%$0.26Pass back reasoning_content · Chat Completions+4
Kimi K3maxOpen+2%+809%$2.00Sampling parameters are fixed+3
Qwen3.8 FlashthinkingOpensame+69%$0.37Context: 1M → 262K+6Kimi K2.6thinkingOpensame+263%$0.80Context: 1M → 256KWatch out 1
Complete model response must be appended›
In multi-turn tools, preserve the complete assistant response, including reasoning_content and tool_calls, to maintain reasoning continuity. Source ↗
FAQ
How much does MiniMax M3.1 Flash cost?›
$0.15 per 1M input tokens and $0.60 per 1M output tokens; cached input $0.015 per 1M. A typical benchmark task costs about $0.22 at default effort.
Is MiniMax M3.1 Flash free to use?›
There is no free API; the cheapest paid price is $0.15 per 1M input tokens.
How good is MiniMax M3.1 Flash, and what is it best at?›
#15 of 334 in Chat & Knowledge, #24 of 132 in Coding, #2 of 133 in Agents & Tool Use, #25 of 124 in Vision & Documents. Strongest at: Coding, Agents & work tasks, Reasoning, Long context, Knowledge, Vision.
Is MiniMax M3.1 Flash better than Apodex 1.1?›
On MMMU-Pro (vision), MiniMax M3.1 Flash scores 79.1 vs 79.2 — about the same. It is 53% cheaper per task.
How can I use MiniMax M3.1 Flash?›
Through the API of MiniMax.
What is the context window of MiniMax M3.1 Flash?›
1M tokens, with up to 524K output tokens.
When was MiniMax M3.1 Flash released? Is there a newer version?›
Released 2026-10-19. It is the current version in its line.
Is MiniMax M3.1 Flash open source?›
No, MiniMax M3.1 Flash is a closed model available through an API. The closest open-weights option here is Muse Spark Open.
Can MiniMax M3.1 Flash read images?›
It accepts text and images, video as input.
What is MiniMax M3.1 Flash?›
MiniMax M3.1 Flash is a closed language model from MiniMax, released Oct 2026.
What are the best alternatives to MiniMax M3.1 Flash?›
GPT-6.1 Sol (cheaper), Muse Spark Open (open weights).