Model decision surface
Compare AI models
Start with Qwen3.5-9B and GLM 4.5 Air, 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
Qwen3.5-9B vs GLM 4.5 Air
Live dataset updated 9/9/2026, 9:50:24 PM UTC
Open 1200×630 evidence receipt| Field | Qwen3.5-9B Qwen | GLM 4.5 Air Z.ai |
|---|---|---|
| ModelCap position | #96 | #94 |
| Index score | 42.2 | 42.8 |
| Evidence | Estimatedpublisher-corpus-prior over 180 held-out anchors (31%); launch card against 3 resolved peers on 10 rows (69%); exceeds every named peer on 4 of 10 rows; optimism haircut 0.6 from cross-lab-probe; shrunk 3.8 up toward the measured corpus | Measured2 public benchmark observations across 2 boards |
| Input / 1M | $0.10 | $0.13 |
| Output / 1M | $0.15 | $0.85 |
| Pricing status | fresh | fresh |
| Context | 262K | 131K |
| Providers | 6 | 3 |
| Weight access | Open weights | Open weights |
Decision facts
- Qwen3.5-9B is #96; GLM 4.5 Air is #94 on the same current language board.
- Index scores are 42.2 for Qwen3.5-9B and 42.8 for GLM 4.5 Air. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Evidence differs: Qwen3.5-9B is Estimated; GLM 4.5 Air is Measured.
- Listed output price per 1M tokens is $0.15 for Qwen3.5-9B and $0.85 for GLM 4.5 Air. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.27 for Qwen3.5-9B versus $0.69 for GLM 4.5 Air. Qwen3.5-9B costs 59.9% 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 262,144 tokens for Qwen3.5-9B and 131,072 for GLM 4.5 Air.
- ModelCap currently lists 6 providers for Qwen3.5-9B and 3 for GLM 4.5 Air.
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
- Muse Spark 1.3 vs GPT-6 Astra#2 vs #1 on the ModelCap Index
- Claude Fable 5.1 vs GPT-6 Astra#3 vs #1 on the ModelCap Index
- Claude Fable 5.1 vs Muse Spark 1.3#3 vs #2 on the ModelCap Index
- Claude Opus 5 vs GPT-6 Astra#4 vs #1 on the ModelCap Index
- Claude Opus 5 vs Muse Spark 1.3#4 vs #2 on the ModelCap Index
- Claude Fable 5.1 vs Claude Opus 5#3 vs #4 on the ModelCap Index
- GPT-6 Astra vs Grok 4.6#1 vs #5 on the ModelCap Index
- Muse Spark 1.3 vs Grok 4.6#2 vs #5 on the ModelCap Index
- Claude Fable 5.1 vs Grok 4.6#3 vs #5 on the ModelCap Index
- Claude Opus 5 vs Grok 4.6#4 vs #5 on the ModelCap Index
- GPT-5.6 Sol vs GPT-6 Astra#6 vs #1 on the ModelCap Index
- Muse Spark 1.3 vs GPT-5.6 Sol#2 vs #6 on the ModelCap Index
- Claude Fable 5.1 vs GPT-5.6 Sol#3 vs #6 on the ModelCap Index
- Claude Opus 5 vs GPT-5.6 Sol#4 vs #6 on the ModelCap Index
- GPT-5.6 Sol vs Grok 4.6#6 vs #5 on the ModelCap Index
- Kimi K3 vs GPT-6 Astra#7 vs #1 on the ModelCap Index
- Muse Spark 1.3 vs Kimi K3#2 vs #7 on the ModelCap Index
- Claude Fable 5.1 vs Kimi K3#3 vs #7 on the ModelCap Index
- Claude Opus 5 vs Kimi K3#4 vs #7 on the ModelCap Index
- Kimi K3 vs Grok 4.6#7 vs #5 on the ModelCap Index
- Kimi K3 vs GPT-5.6 Sol#7 vs #6 on the ModelCap Index
- Gemini 3.8 Flash vs GPT-6 Astra#8 vs #1 on the ModelCap Index
- Gemini 3.8 Flash vs Muse Spark 1.3#8 vs #2 on the ModelCap Index
- Claude Fable 5.1 vs Gemini 3.8 Flash#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.