Model decision surface
Compare AI models
Start with Mercury 2.5 and Qwen3 32B, 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
Mercury 2.5 vs Qwen3 32B
Live dataset updated 9/19/2026, 11:04:59 PM UTC
Open 1200×630 evidence receipt| Field | Mercury 2.5 Inception Labs | Qwen3 32B Qwen |
|---|---|---|
| ModelCap position | #131 | #134 |
| Index score | 36.3 | 35.1 |
| Evidence | Estimatedglobal-corpus-prior over 195 held-out anchors (22%); opens from measured predecessor inception/mercury-2 (78%); shrunk 4.7 up toward the measured corpus | Measured2 public benchmark observations across 2 boards |
| Input / 1M | $0.04 | $0.08 |
| Output / 1M | $0.15 | $0.28 |
| Pricing status | fresh | fresh |
| Context | 260K | 131K |
| Providers | 1 | 2 |
| Weight access | API only | Open weights |
Decision facts
- Mercury 2.5 is #131; Qwen3 32B is #134 on the same current language board.
- Index scores are 36.3 for Mercury 2.5 and 35.1 for Qwen3 32B. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Evidence differs: Mercury 2.5 is Estimated; Qwen3 32B is Measured.
- Listed output price per 1M tokens is $0.15 for Mercury 2.5 and $0.28 for Qwen3 32B. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.15 for Mercury 2.5 versus $0.30 for Qwen3 32B. Mercury 2.5 costs 48.3% 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 260,000 tokens for Mercury 2.5 and 131,072 for Qwen3 32B.
- Weight access differs: Mercury 2.5 is none; Qwen3 32B is open.
- ModelCap currently lists 1 providers for Mercury 2.5 and 2 for Qwen3 32B.
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 Fable 5.1 vs Claude Opus 5#1 vs #2 on the ModelCap Index
- Claude Fable 5.1 vs GPT-6 Astra#1 vs #3 on the ModelCap Index
- Claude Opus 5 vs GPT-6 Astra#2 vs #3 on the ModelCap Index
- Claude Fable 5.1 vs Muse Spark 1.3#1 vs #4 on the ModelCap Index
- Claude Opus 5 vs Muse Spark 1.3#2 vs #4 on the ModelCap Index
- Muse Spark 1.3 vs GPT-6 Astra#4 vs #3 on the ModelCap Index
- Claude Fable 5.1 vs Qwen3.8 Max (0902)#1 vs #5 on the ModelCap Index
- Claude Opus 5 vs Qwen3.8 Max (0902)#2 vs #5 on the ModelCap Index
- GPT-6 Astra vs Qwen3.8 Max (0902)#3 vs #5 on the ModelCap Index
- Muse Spark 1.3 vs Qwen3.8 Max (0902)#4 vs #5 on the ModelCap Index
- Claude Fable 5.1 vs GPT-5.6 Sol#1 vs #6 on the ModelCap Index
- Claude Opus 5 vs GPT-5.6 Sol#2 vs #6 on the ModelCap Index
- GPT-5.6 Sol vs GPT-6 Astra#6 vs #3 on the ModelCap Index
- Muse Spark 1.3 vs GPT-5.6 Sol#4 vs #6 on the ModelCap Index
- GPT-5.6 Sol vs Qwen3.8 Max (0902)#6 vs #5 on the ModelCap Index
- Claude Fable 5.1 vs Gemini 3.8 Flash#1 vs #7 on the ModelCap Index
- Claude Opus 5 vs Gemini 3.8 Flash#2 vs #7 on the ModelCap Index
- Gemini 3.8 Flash vs GPT-6 Astra#7 vs #3 on the ModelCap Index
- Gemini 3.8 Flash vs Muse Spark 1.3#7 vs #4 on the ModelCap Index
- Gemini 3.8 Flash vs Qwen3.8 Max (0902)#7 vs #5 on the ModelCap Index
- Gemini 3.8 Flash vs GPT-5.6 Sol#7 vs #6 on the ModelCap Index
- Claude Fable 5.1 vs Kimi K3#1 vs #8 on the ModelCap Index
- Claude Opus 5 vs Kimi K3#2 vs #8 on the ModelCap Index
- Kimi K3 vs GPT-6 Astra#8 vs #3 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.