Model decision surface
Compare AI models
Start with Qwen3.8 27B and Qwen3 VL 235B A22B Thinking, 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
Qwen3.8 27B vs Qwen3 VL 235B A22B Thinking
Live dataset updated 10/1/2026, 9:09:05 PM UTC
Open 1200×630 evidence receipt| Field | Qwen3.8 27B Qwen | |
|---|---|---|
| ModelCap position | #39 | #101 |
| Index score | 68.9 | 53.8 |
| Evidence | Measured5 public benchmark observations across 5 boards | Measured2 public benchmark observations across 2 boards |
| Input / 1M | $0.42 | $0.40 |
| Output / 1M | $3.00 | $4.00 |
| Pricing status | fresh | fresh |
| Context | 1M | 131K |
| Providers | 17 | 2 |
| Weight access | Open weights | Open weights |
Decision facts
- Qwen3.8 27B is #39; Qwen3 VL 235B A22B Thinking is #101 on the same current language board.
- Index scores are 68.9 for Qwen3.8 27B and 53.8 for Qwen3 VL 235B A22B Thinking. Their published uncertainty intervals do not overlap, but the aggregate Index does not predict performance on every task; compare the relevant benchmark configurations before choosing.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $3.00 for Qwen3.8 27B and $4.00 for Qwen3 VL 235B A22B Thinking. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $2.34 for Qwen3.8 27B versus $2.80 for Qwen3 VL 235B A22B Thinking. Qwen3.8 27B costs 16.4% 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 1,000,000 tokens for Qwen3.8 27B and 131,072 for Qwen3 VL 235B A22B Thinking.
- ModelCap currently lists 17 providers for Qwen3.8 27B and 2 for Qwen3 VL 235B A22B Thinking.
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 Claude Sonnet 5.5#2 vs #1 on the ModelCap Index
- Claude Sonnet 5.5 vs GPT-6.1 Sol#1 vs #3 on the ModelCap Index
- Claude Opus 5.5 vs GPT-6.1 Sol#2 vs #3 on the ModelCap Index
- Claude Fable 5.1 vs Claude Sonnet 5.5#4 vs #1 on the ModelCap Index
- Claude Fable 5.1 vs Claude Opus 5.5#4 vs #2 on the ModelCap Index
- Claude Fable 5.1 vs GPT-6.1 Sol#4 vs #3 on the ModelCap Index
- Claude Sonnet 5.5 vs Muse Spark 1.3#1 vs #5 on the ModelCap Index
- Claude Opus 5.5 vs Muse Spark 1.3#2 vs #5 on the ModelCap Index
- Muse Spark 1.3 vs GPT-6.1 Sol#5 vs #3 on the ModelCap Index
- Claude Fable 5.1 vs Muse Spark 1.3#4 vs #5 on the ModelCap Index
- Claude Sonnet 5.5 vs MiMo-V2.6-Pro#1 vs #6 on the ModelCap Index
- Claude Opus 5.5 vs MiMo-V2.6-Pro#2 vs #6 on the ModelCap Index
- GPT-6.1 Sol vs MiMo-V2.6-Pro#3 vs #6 on the ModelCap Index
- Claude Fable 5.1 vs MiMo-V2.6-Pro#4 vs #6 on the ModelCap Index
- Muse Spark 1.3 vs MiMo-V2.6-Pro#5 vs #6 on the ModelCap Index
- Claude Sonnet 5.5 vs Qwen3.8 Max (0902)#1 vs #7 on the ModelCap Index
- Claude Opus 5.5 vs Qwen3.8 Max (0902)#2 vs #7 on the ModelCap Index
- GPT-6.1 Sol vs Qwen3.8 Max (0902)#3 vs #7 on the ModelCap Index
- Claude Fable 5.1 vs Qwen3.8 Max (0902)#4 vs #7 on the ModelCap Index
- Muse Spark 1.3 vs Qwen3.8 Max (0902)#5 vs #7 on the ModelCap Index
- Qwen3.8 Max (0902) vs MiMo-V2.6-Pro#7 vs #6 on the ModelCap Index
- Claude Sonnet 5.5 vs GPT-6 Astra#1 vs #8 on the ModelCap Index
- Claude Opus 5.5 vs GPT-6 Astra#2 vs #8 on the ModelCap Index
- GPT-6.1 Sol vs GPT-6 Astra#3 vs #8 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.