LLM Comparison
Gemini 3.7 Flash vs MiniMax M2-her
Side-by-side specs, pricing & capabilities · Updated September 2026
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 75 33.4 | |
| Family | Gemini | MiniMax |
| Status | Current | Current |
| Release Date | Aug 2026 | Jan 2026 |
| Context Window | 1.0M tokens | 66K tokens |
| Input Price | $0.75/M tokens | $0.30/M tokens |
| Output Price | $3.75/M tokens | $1.20/M tokens |
| Pricing Notes | Google introductory pricing is $0.75 input and $3.75 output per 1M tokens through December 31, 2026. Standard pricing becomes $1.50 input and $7.50 output per 1M tokens on January 1, 2027. | Cache read: $0.0300/M tokens |
| Capabilities | reasoningcodingagentictool-usemultimodallong-contextimage-understandingaudio-understandingvideo-understanding | textcode |
| Training Cutoff | March 2026; some domains may be limited to January 2025 | — |
| Max Output | 66K tokens | 2K tokens |
| API Identifier | gemini-3.7-flash | minimax/minimax-m2-her |
| Benchmarks | ||
| Artificial Analysis Intelligence Index v4.1.1 | 56artificial-analysis | — |
| Artificial Analysis Intelligence Index v4.3 | 39https://artificialanalysis.ai/models/gemini-3-7-flash | — |
| GPQA Diamond | 94.5455artificial-analysis | — |
| SciCode | 57.1759artificial-analysis | — |
| Terminal-Bench 2.1 | 85.7678artificial-analysis | — |
| View Gemini 3.7 Flash | View MiniMax M2-her | |
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| MiniMax M2-herCheapest | $0.30 | $0.60 | $0.90 | — |
| Gemini 3.7 Flash | $0.75 | $1.88 | $2.63 | +192% |
Gemini 3.7 Flash
Gemini 3.7 Flash is Google's multimodal reasoning model for coding, agentic workflows, and complex knowledge work. It supports text, image, audio, and video input, customizable thinking, a 1M context window, 64K text output, and access through the Gemini API.
MiniMax
MiniMax M2-her
MiniMax M2-her is a language-model variant designed for character role-play and interactive storytelling. MiniMax describes work on world consistency, story progression and adaptation to user preferences. It is distinct from the general-purpose MiniMax M2 family.
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