MiniMax M2.5 vs Gemini 3.1 Pro
At a Glance
| Compare |  MiniMax M2.5MiniMax |  Gemini 3.1 ProGoogle DeepMind |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #9 of 4679.7 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #27 of 44$0.161 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #9 of 3859.2 score · 3/3 sources · complete |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.27Openrouter ↗ · Aug 28, 2026 | $2.00Google AI ↗ · Aug 29, 2026 |
| Output priceFrom · USD / 1M tokens | $1.08Openrouter ↗ · Aug 28, 2026 | $12.00Google AI ↗ · Aug 29, 2026 |
| Context windowMaximum documented tokens | 197K | 1,049K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 29, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
| Benchmark | MiniMax-M2.5 | Gemini 3.1 Pro |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,358.9092% of row best · rating · minimax-m2.5; 95% CI [1354.93997261, 1362.86079851]; votes 40843; rank 184 | 1,480.08100% of row best · rating · gemini-3.1-pro-preview; 95% CI [1476.92899018, 1483.22190450]; votes 106951; rank 16 |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark winsNo overall winner | 1 benchmark winNo overall winner |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | MiniMax-M2.5 | Gemini 3.1 Pro |
|---|---|---|
| Developer | MiniMax | Google DeepMind |
| Family | Minimax M2 5 | Gemini 3 |
| Model | MiniMax-M2.5 | Gemini 3.1 Pro |
| Version | MiniMax-M2.5 | Gemini 3.1 Pro |
| Lifecycle | active | preview |
| Released | 2026-02-12 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video, Audio, Document |
| Output modalities | Text | Text |
| Context window | 197K | 1,049K |
| Total parameters | 228.7B | Unknown |
| Active parameters | Unknown | Unknown |
| License | other | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Hugging Face (Standard), Openrouter (Standard) | Google AI (Standard), Google Gemini (Standard) |
| Capabilities | chat, generation, tools | chat, generation, reasoning, tools |
MiniMax M2.5 Capabilities
Gemini 3.1 Pro Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
MiniMax-M2.5MiniMax | vs | Gemini 2.5 ProGoogle DeepMind | cross-developer peerstext |
MiniMax-M2.5MiniMax | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
MiniMax-M2.5MiniMax | vs | Claude Fable 5.1Anthropic | cross-developer peerstext |
MiniMax-M2.5MiniMax | vs |  DeepSeek-V4.1-FlashDeepSeek | cross-developer peerstext |
MiniMax-M2.5MiniMax | vs | Grok 4.6xAI | cross-developer peerstext |
MiniMax-M2.5MiniMax | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
MiniMax-M2.5MiniMax | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
MiniMax-M2.5MiniMax | vs | MiniMax-M3MiniMax | family variantstext |
MiniMax-M2.5MiniMax | vs |  GLM-5.3Z.ai | cross-developer peerstext |
MiniMax-M2.5MiniMax | vs |  Hy4 previewTencent | cross-developer peerstext |
MiniMax-M2.5MiniMax | vs | Seed 2.1 ProByteDance Seed | cross-developer peerstext |
MiniMax-M2.5MiniMax | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
MiniMax M2.5 vs Gemini 3.1 Pro FAQs
Is MiniMax M2.5 or Gemini 3.1 Pro better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both MiniMax M2.5 and Gemini 3.1 Pro, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, MiniMax M2.5 or Gemini 3.1 Pro?+
MiniMax M2.5 is $0.27 and Gemini 3.1 Pro is $2.00 per million tokens, so MiniMax M2.5 is cheaper on this metric. MiniMax M2.5 is $1.08 and Gemini 3.1 Pro is $12.00 per million tokens, so MiniMax M2.5 is cheaper on this metric.
Which has a larger context window, MiniMax M2.5 or Gemini 3.1 Pro?+
Gemini 3.1 Pro has the larger sourced context window. MiniMax M2.5 supports 197K and Gemini 3.1 Pro supports 1,049K.
Which performs better in benchmarks, MiniMax M2.5 or Gemini 3.1 Pro?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can MiniMax M2.5 or Gemini 3.1 Pro be self-hosted?+
MiniMax M2.5 is the only model in this pair currently marked as self-hostable. MiniMax M2.5 is open weight; Gemini 3.1 Pro is not marked open weight.
Can MiniMax M2.5 and Gemini 3.1 Pro understand images?+
MiniMax M2.5 is not documented with image input; Gemini 3.1 Pro is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, MiniMax M2.5 or Gemini 3.1 Pro?+
Neither has a larger sourced maximum output. MiniMax M2.5 is — and Gemini 3.1 Pro is 66K.
Do MiniMax M2.5 and Gemini 3.1 Pro support reasoning and tool use?+
MiniMax M2.5: tool calling. Gemini 3.1 Pro: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, MiniMax M2.5 or Gemini 3.1 Pro?+
MiniMax M2.5 has 2 sourced provider routes; Gemini 3.1 Pro has 2, a tie.
Which offers better value, MiniMax M2.5 or Gemini 3.1 Pro?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.