MiniMax

MiniMax M3.1 Flash

minimax/minimax-m3.1-flash
Model weightsReleased Oct 19, 2026Open Weights
ThinkingToolsVisionopen weights

MiniMax-M3.1-Flash is a multimodal model from MiniMax. Compared with M3, it delivers significant improvements across multiple benchmarks, particularly in complex agentic tasks, coding, and cybersecurity. It is built for complex,...

Cost / 1M tokens

Low usage

$0.15

input

$0.015

cached input

$0.60

output

Context Window

1M

Up to 524K max output

Architecture

428B total · 23B active MoE

text + image + video → text

Quickstart & API

minimax/minimax-m3.1-flash
Open the model picker in ChatOSS Desktop (Code, Kanban, or Chat) and select or paste this model ID.

Best for & Strengths

Key Strengths

73% AutomationBench-AA48% Humanity's Last Exam428B total / 23B active MoE1M token context

Recommended Workloads in ChatOSS

  • Computer-use & SaaS automation
  • Deep research & synthesis
  • Multimodal agent workflows
Available in ChatOSS Code, Kanban Orchestrate, and Chat modes via Plus, Max, or BYOK.

Verified Evaluations

Benchmarks & Frontier Comparison

How MiniMax M3.1 Flash compares against leading open-weight and proprietary frontier models across independent agentic coding and reasoning suites.

View full Top 40 Leaderboard →
MiniMax M3.1 FlashDeepSeek V4.1 FlashGLM 5.3Kimi K3.1 Pro
Benchmark (Metric)MiniMax M3.1 FlashDeepSeek V4.1 FlashGLM 5.3Kimi K3.1 ProClaude Opus 5.5
Agentic & Software Engineering
ChatOSS Agentic Coding Index (%)52.6%63.2%58.3%65%74.1%
SWE-Bench Verified (%)—91.5%95.4%94.8%97%
DeepSWE v1.1 (Pass@1 %)66.5%77%69%73.5%74.2%
Vibe Code Bench v1.1 (%)73.94%87.7%78.1%88.4%90.3%
Terminal-Bench 4.0 (%)26%42.3%42%46.2%65.2%
Code Migration (%)44%45.6%44.2%52%66.7%
Intelligence & Token Economics
Artificial Analysis Intelligence Index (0–100)42.739.544.855.157.6
Input Price (/ 1M tokens)$0.15$0.15$1.40$2.00$4.00
Output Price (/ 1M tokens)$0.60$0.60$4.40$10.00$20.00

ChatOSS Agentic Coding Index

ChatOSS Benchmark Audit · 4-benchmark composite mean

52.6%

DeepSWE v1.1

DeepSWE / Official Audit · Mini-SWE-Agent

66.5%

Vibe Code Bench v1.1

Vals.ai · OpenHands

73.94%

Terminal-Bench 4.0

Vals.ai / Artificial Analysis · Terminus 2

26%

Code Migration

Vals.ai · Vals evaluation harness

44%

AutomationBench

Artificial Analysis v4.3

73%

Artificial Analysis Intelligence Index

Artificial Analysis

42.7

Humanity's Last Exam (Pass@1)

Artificial Analysis / Audit

48%

Active Provider Endpoints (12)

Upstream inference providers serving MiniMax M3.1 Flash, with per-provider pricing, context limits, quantization, and 24-hour uptime.

ProviderInput / 1MOutput / 1MCache Read / 1MContextMax OutputQuantizationUptime (24h)
GMICloudcache
gmicloud/fp8
$0.142$0.57$0.0141M944Kfp895.9%
StreamLakecache
streamlake
$0.15$0.60$0.0151M512K—91.9%
InferenceNetcache
inference-net/fp4
$0.15$0.60$0.0151M524Kfp498.2%
DigitalOceancache
digitalocean
$0.15$0.60$0.0151M944K—99.8%
Novitacache
novita/fp16
$0.15$0.60$0.0151M524Kfp1699.8%
Nebiuscache
nebius/fp4
$0.15$0.60$0.0151M944Kfp498.9%
SambaNovacache
sambanova
$0.15$0.60$0.0151M944K—98.8%
ModelRuncache
modelrun/fp4
$0.15$0.60$0.0151M944Kfp499.9%
Parasailcache
parasail/fp8
$0.15$0.60$0.0151M524Kfp8100.0%
InferenceNetcache
inference-net/fp4/us
$0.15$0.60$0.0151M524Kfp495.1%
Togethercache
together
$0.15$0.60$0.0151M944K—99.7%
Minimaxcache
minimax
$0.15$0.60$0.0151M524K—100.0%

Supported API Parameters

Parameters accepted by this model when called through ChatOSS or OpenRouter.

frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningreasoning_effortrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p

Deep-Dive Benchmarks & Teardowns

Independent benchmark analysis and real-world agent billing teardowns featuring MiniMax M3.1 Flash.

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