Model decision surface
Compare AI models
Start with R1 0528 and Qwen3 VL 235B A22B Instruct, 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
R1 0528 vs Qwen3 VL 235B A22B Instruct
Live dataset updated 9/13/2026, 2:40:29 PM UTC
Open 1200×630 evidence receipt| Field | R1 0528 DeepSeek | |
|---|---|---|
| ModelCap position | #59 | #61 |
| Index score | 57.1 | 55.4 |
| Evidence | Measured2 public benchmark observations across 2 boards | Measured2 public benchmark observations across 2 boards |
| Input / 1M | $0.50 | $0.21 |
| Output / 1M | $2.15 | $1.90 |
| Pricing status | fresh | fresh |
| Context | 164K | 262K |
| Providers | 4 | 5 |
| Weight access | Open weights | Open weights |
Decision facts
- R1 0528 is #59; Qwen3 VL 235B A22B Instruct is #61 on the same current language board.
- Index scores are 57.1 for R1 0528 and 55.4 for Qwen3 VL 235B A22B Instruct. 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 $2.15 for R1 0528 and $1.90 for Qwen3 VL 235B A22B Instruct. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $2.08 for R1 0528 versus $1.37 for Qwen3 VL 235B A22B Instruct. Qwen3 VL 235B A22B Instruct costs 34.0% 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 163,840 tokens for R1 0528 and 262,144 for Qwen3 VL 235B A22B Instruct.
- ModelCap currently lists 4 providers for R1 0528 and 5 for Qwen3 VL 235B A22B Instruct.
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 Muse Spark 1.3#1 vs #2 on the ModelCap Index
- Claude Fable 5.1 vs Claude Opus 5#1 vs #3 on the ModelCap Index
- Claude Opus 5 vs Muse Spark 1.3#3 vs #2 on the ModelCap Index
- Claude Fable 5.1 vs GPT-6 Astra#1 vs #4 on the ModelCap Index
- Muse Spark 1.3 vs GPT-6 Astra#2 vs #4 on the ModelCap Index
- Claude Opus 5 vs GPT-6 Astra#3 vs #4 on the ModelCap Index
- Claude Fable 5.1 vs GPT-5.6 Sol#1 vs #5 on the ModelCap Index
- Muse Spark 1.3 vs GPT-5.6 Sol#2 vs #5 on the ModelCap Index
- Claude Opus 5 vs GPT-5.6 Sol#3 vs #5 on the ModelCap Index
- GPT-5.6 Sol vs GPT-6 Astra#5 vs #4 on the ModelCap Index
- Claude Fable 5.1 vs GLM 5.3#1 vs #6 on the ModelCap Index
- Muse Spark 1.3 vs GLM 5.3#2 vs #6 on the ModelCap Index
- Claude Opus 5 vs GLM 5.3#3 vs #6 on the ModelCap Index
- GPT-6 Astra vs GLM 5.3#4 vs #6 on the ModelCap Index
- GPT-5.6 Sol vs GLM 5.3#5 vs #6 on the ModelCap Index
- Claude Fable 5.1 vs Gemini 3.8 Flash#1 vs #7 on the ModelCap Index
- Gemini 3.8 Flash vs Muse Spark 1.3#7 vs #2 on the ModelCap Index
- Claude Opus 5 vs Gemini 3.8 Flash#3 vs #7 on the ModelCap Index
- Gemini 3.8 Flash vs GPT-6 Astra#7 vs #4 on the ModelCap Index
- Gemini 3.8 Flash vs GPT-5.6 Sol#7 vs #5 on the ModelCap Index
- Gemini 3.8 Flash vs GLM 5.3#7 vs #6 on the ModelCap Index
- Claude Fable 5.1 vs Kimi K3#1 vs #8 on the ModelCap Index
- Muse Spark 1.3 vs Kimi K3#2 vs #8 on the ModelCap Index
- Claude Opus 5 vs Kimi K3#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.