Model decision surface
Compare AI models
Start with Gemini 3.5 Flash Lite and MiniMax M3.1 Flash, or choose any two current ranked language models. Compare capability evidence, price, context, provider availability, and weight access without pretending one field decides every use case.
Current public data
Gemini 3.5 Flash Lite vs MiniMax M3.1 Flash
Live dataset updated 10/23/2026, 8:09:43 AM UTC
Open 1200×630 evidence receipt| Field | Gemini 3.5 Flash Lite | MiniMax M3.1 Flash MiniMax |
|---|---|---|
| ModelCap position | #34 | #22 |
| Index score | 71.4 | 77.4 |
| Evidence | Measured3 public benchmark observations across 3 boards | Estimatedpublisher-corpus-prior over 211 held-out anchors (6%); launch card against 5 resolved peers on 6 rows (94%); optimism haircut 0 from cross-lab-probe; shrunk 1.9 toward the measured corpus |
| Input / 1M | $0.30 | $0.15 |
| Output / 1M | $2.50 | $0.60 |
| Pricing status | fresh | fresh |
| Context | 1M | 1M |
| Providers | 2 | 5 |
| Weight access | No linked weights | Restricted license |
Decision facts
- Gemini 3.5 Flash Lite is #34; MiniMax M3.1 Flash is #22 on the same current language board.
- Index scores are 71.4 for Gemini 3.5 Flash Lite and 77.4 for MiniMax M3.1 Flash. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Evidence differs: Gemini 3.5 Flash Lite is Measured; MiniMax M3.1 Flash is Estimated.
- Listed output price per 1M tokens is $2.50 for Gemini 3.5 Flash Lite and $0.60 for MiniMax M3.1 Flash. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $1.85 for Gemini 3.5 Flash Lite versus $0.60 for MiniMax M3.1 Flash. MiniMax M3.1 Flash costs 67.6% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
- Published context is 1,048,576 tokens for Gemini 3.5 Flash Lite and 1,048,576 for MiniMax M3.1 Flash.
- Weight access differs: Gemini 3.5 Flash Lite is none; MiniMax M3.1 Flash is restricted.
- ModelCap currently lists 2 providers for Gemini 3.5 Flash Lite and 5 for MiniMax M3.1 Flash.
These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.
Popular comparisons
- Claude Opus 5.5 vs Gemini 4 Argon#1 vs #2 on the ModelCap Index
- Claude Fable 5.1 vs Claude Opus 5.5#3 vs #1 on the ModelCap Index
- Claude Fable 5.1 vs Gemini 4 Argon#3 vs #2 on the ModelCap Index
- Claude Opus 5.5 vs Muse Wonder#1 vs #4 on the ModelCap Index
- Gemini 4 Argon vs Muse Wonder#2 vs #4 on the ModelCap Index
- Claude Fable 5.1 vs Muse Wonder#3 vs #4 on the ModelCap Index
- Claude Opus 5.5 vs Muse Spark 1.3#1 vs #5 on the ModelCap Index
- Gemini 4 Argon vs Muse Spark 1.3#2 vs #5 on the ModelCap Index
- Claude Fable 5.1 vs Muse Spark 1.3#3 vs #5 on the ModelCap Index
- Muse Spark 1.3 vs Muse Wonder#5 vs #4 on the ModelCap Index
- Claude Opus 5.5 vs Gemini 3.8 Flash#1 vs #6 on the ModelCap Index
- Gemini 3.8 Flash vs Gemini 4 Argon#6 vs #2 on the ModelCap Index
- Claude Fable 5.1 vs Gemini 3.8 Flash#3 vs #6 on the ModelCap Index
- Gemini 3.8 Flash vs Muse Wonder#6 vs #4 on the ModelCap Index
- Gemini 3.8 Flash vs Muse Spark 1.3#6 vs #5 on the ModelCap Index
- Claude Opus 5.5 vs GPT-6.1 Sol#1 vs #8 on the ModelCap Index
- Gemini 4 Argon vs GPT-6.1 Sol#2 vs #8 on the ModelCap Index
- Claude Fable 5.1 vs GPT-6.1 Sol#3 vs #8 on the ModelCap Index
- Muse Wonder vs GPT-6.1 Sol#4 vs #8 on the ModelCap Index
- Muse Spark 1.3 vs GPT-6.1 Sol#5 vs #8 on the ModelCap Index
- Gemini 3.8 Flash vs GPT-6.1 Sol#6 vs #8 on the ModelCap Index
- Claude Opus 5.5 vs Kimi K3#1 vs #10 on the ModelCap Index
- Gemini 4 Argon vs Kimi K3#2 vs #10 on the ModelCap Index
- Claude Fable 5.1 vs Kimi K3#3 vs #10 on the ModelCap Index
Each comparison page is a permanent, shareable URL with the same live figures as this tool: ModelCap Index position, API pricing, context window, provider count, weight access and every shared benchmark board.