Model decision surface
Compare AI models
Start with Mistral Large 3 2512 and Qwen3.6 35B A3B, 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
Mistral Large 3 2512 vs Qwen3.6 35B A3B
Live dataset updated 9/23/2026, 10:30:00 PM UTC
Open 1200×630 evidence receipt| Field | Mistral Large 3 2512 Mistral AI | Qwen3.6 35B A3B Qwen |
|---|---|---|
| ModelCap position | #71 | #73 |
| Index score | 62.2 | 62.1 |
| Evidence | Measured2 public benchmark observations across 2 boards | Measured1 public benchmark observation across 1 board |
| Input / 1M | $0.25 | $0.15 |
| Output / 1M | $0.75 | $1.00 |
| Pricing status | fresh | fresh |
| Context | 262K | 262K |
| Providers | 1 | 9 |
| Weight access | API only | Open weights |
Decision facts
- Mistral Large 3 2512 is #71; Qwen3.6 35B A3B is #73 on the same current language board.
- Index scores are 62.2 for Mistral Large 3 2512 and 62.1 for Qwen3.6 35B A3B. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $0.75 for Mistral Large 3 2512 and $1.00 for Qwen3.6 35B A3B. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.88 for Mistral Large 3 2512 versus $0.80 for Qwen3.6 35B A3B. Qwen3.6 35B A3B costs 8.6% 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 262,144 tokens for Mistral Large 3 2512 and 262,144 for Qwen3.6 35B A3B.
- Weight access differs: Mistral Large 3 2512 is none; Qwen3.6 35B A3B is open.
- ModelCap currently lists 1 providers for Mistral Large 3 2512 and 9 for Qwen3.6 35B A3B.
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.