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Comparison of MiniMax: MiniMax M2, MiniMax-M3, Google: Gemini 4 Argon
3 modelsminimaxMiniMax: MiniMax M2Remove ×MiniMaxAIMiniMax-M3Remove ×googleGoogle: Gemini 4 ArgonRemove ×
What’s differentMiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier…MiniMax-M3 is a native multimodal model with 1M context. It has ~428B parameters and ~23B activated parameters.Long decode can use the unified 1M-token budget for output; reads video, audio and PDFs, with implicit-only caching.
DateOct 23, 2025ListedJun 2, 2026ListedSep 30, 2026Released
Listed rate$0.255 in / $1.02 out/ 1M tokensMinimax · via OpenRouter · all routes ↗minimax/fp8 · quantization=fp8$0.28 in / $1.10 out/ 1M tokensdeepinfra · via Hugging Face · all routes ↗$1.00 in / $5.00 out/ 1M tokensGoogle AI Studio · via OpenRouter · all routes ↗google-ai-studio/flex · tier=flex
Provider endpoints3 endpoints →7 endpoints →8 endpoints →
AA Intelligence ↗4.3.2Not reportedNot reported52.56 ↗Effort: high · HighIndependent result
AA-Briefcase ↗1.1Not reportedNot reported1,485.76 ↗Effort: high · HighIndependent result
GDPval-AA ↗2.1Not reportedNot reported1,623.11 ↗Effort: high · HighIndependent result
AutomationBench-AA ↗AA Index 4.3.2 collectionNot reportedNot reported77.51% ↗Effort: high · HighIndependent result
Terminal-Bench 4.0 · AA ↗Not reportedNot reported57.07% ↗Effort: high · HighHarness unreportedIndependent result
SciCode ↗AA Index 4.3.2 collectionNot reportedNot reported61.81% ↗AA · Under reviewEffort: high · HighIndependent result
Humanity’s Last Exam ↗AA Index 4.3.2 collectionNot reportedNot reported57.09% ↗Effort: high · HighIndependent result
GDP.pdf ↗AA Index 4.3.2 collectionNot reportedNot reported21.8% ↗Effort: high · HighIndependent result
CritPt ↗AA Index 4.3.2 collectionNot reportedNot reported27.14% ↗AA · Under reviewEffort: high · HighIndependent result
AA-Omniscience ↗AA Index 4.3.2 collectionNot reportedNot reported42.35 ↗Effort: high · HighIndependent result
AA-LCR ↗1.1Not reportedNot reported79.67% ↗Effort: high · HighIndependent result
LiveBench ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported84.1% ↗Effort: high · single run · equal mean of 7 suitesIndependent result
LiveBench Design ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported73.7% ↗Effort: high · single runIndependent result
LiveBench Research ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported83.1% ↗Effort: high · single runIndependent result
LiveBench Browser Use ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported92% ↗Effort: high · single runIndependent result
LiveBench Coding ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported89.7% ↗Effort: high · single runIndependent result
LiveBench Agentic ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported69.9% ↗Effort: high · single runIndependent result
LiveBench Data Analysis ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported85.2% ↗Effort: high · single runIndependent result
LiveBench Reasoning ↗2.0 · 2026-10-14 (dataset 2026-09-02)Not reportedNot reported95.1% ↗Effort: high · single runIndependent result
Context window204.8K1M1M
Max output131.1K—943.7K
Parameters———
Tool callingSupportedSupportedSupported
Structured outputSupportedSupportedSupported
Image inputNot reportedSupportedSupported
Audio inputNot reportedNot reportedSupported
Video inputNot reportedNot reportedSupported
ReasoningSupportedNot reportedSupported
Prompt cachingNot reportedNot reportedSupported
Open weightsSupportedSupportedNot reported

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