Model decision surface
Compare AI models
Start with MiniMax M3 and Qwen3.8 Max (0902), 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
MiniMax M3 vs Qwen3.8 Max (0902)
Live dataset updated 9/9/2026, 9:50:24 PM UTC
Open 1200×630 evidence receipt| Field | MiniMax M3 MiniMax | |
|---|---|---|
| ModelCap position | #33 | #32 |
| Index score | 66.8 | 67.5 |
| Evidence | Measured4 public benchmark observations across 4 boards | Estimatedpublisher-corpus-prior over 180 held-out anchors (22%); opens from measured predecessor qwen/qwen3.7-max (78%); shrunk 4.7 toward the measured corpus |
| Input / 1M | $0.30 | $2.00 |
| Output / 1M | $1.20 | $6.00 |
| Pricing status | fresh | fresh |
| Context | 1M | 1M |
| Providers | 12 | 1 |
| Weight access | Restricted license | API only |
Decision facts
- MiniMax M3 is #33; Qwen3.8 Max (0902) is #32 on the same current language board.
- Index scores are 66.8 for MiniMax M3 and 67.5 for Qwen3.8 Max (0902). Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Evidence differs: MiniMax M3 is Measured; Qwen3.8 Max (0902) is Estimated.
- Listed output price per 1M tokens is $1.20 for MiniMax M3 and $6.00 for Qwen3.8 Max (0902). For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $1.20 for MiniMax M3 versus $7.00 for Qwen3.8 Max (0902). MiniMax M3 costs 82.9% 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 MiniMax M3 and 1,000,000 for Qwen3.8 Max (0902).
- Weight access differs: MiniMax M3 is restricted; Qwen3.8 Max (0902) is none.
- ModelCap currently lists 12 providers for MiniMax M3 and 1 for Qwen3.8 Max (0902).
These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.
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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.