Model decision surface
Compare AI models
Start with o4 Mini and Qwen3 Coder 30B A3B 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
o4 Mini vs Qwen3 Coder 30B A3B Instruct
Live dataset updated 9/10/2026, 11:40:10 AM UTC
Open 1200×630 evidence receipt| Field | o4 Mini OpenAI | |
|---|---|---|
| ModelCap position | #95 | #92 |
| Index score | 45.9 | 48.1 |
| Evidence | Measured3 public benchmark observations across 3 boards | Estimatedpublisher-corpus-prior over 185 held-out anchors (7%); launch card against 3 resolved peers on 4 rows (94%); no cross-lab optimism probe available; shrunk 0.2 up toward the measured corpus |
| Input / 1M | $1.10 | $0.07 |
| Output / 1M | $4.40 | $0.28 |
| Pricing status | fresh | fresh |
| Context | 200K | 262K |
| Providers | 1 | 4 |
| Weight access | API only | Open weights |
Decision facts
- o4 Mini is #95; Qwen3 Coder 30B A3B Instruct is #92 on the same current language board.
- Index scores are 45.9 for o4 Mini and 48.1 for Qwen3 Coder 30B A3B Instruct. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Evidence differs: o4 Mini is Measured; Qwen3 Coder 30B A3B Instruct is Estimated.
- Listed output price per 1M tokens is $4.40 for o4 Mini and $0.28 for Qwen3 Coder 30B A3B Instruct. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $4.40 for o4 Mini versus $0.28 for Qwen3 Coder 30B A3B Instruct. Qwen3 Coder 30B A3B Instruct costs 93.6% 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 200,000 tokens for o4 Mini and 262,144 for Qwen3 Coder 30B A3B Instruct.
- Weight access differs: o4 Mini is none; Qwen3 Coder 30B A3B Instruct is open.
- ModelCap currently lists 1 providers for o4 Mini and 4 for Qwen3 Coder 30B A3B 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
- 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-5.6 Sol vs GPT-6 Astra#5 vs #1 on the ModelCap Index
- Muse Spark 1.3 vs GPT-5.6 Sol#2 vs #5 on the ModelCap Index
- Claude Fable 5.1 vs GPT-5.6 Sol#3 vs #5 on the ModelCap Index
- Claude Opus 5 vs GPT-5.6 Sol#4 vs #5 on the ModelCap Index
- Kimi K3 vs GPT-6 Astra#6 vs #1 on the ModelCap Index
- Muse Spark 1.3 vs Kimi K3#2 vs #6 on the ModelCap Index
- Claude Fable 5.1 vs Kimi K3#3 vs #6 on the ModelCap Index
- Claude Opus 5 vs Kimi K3#4 vs #6 on the ModelCap Index
- Kimi K3 vs GPT-5.6 Sol#6 vs #5 on the ModelCap Index
- Gemini 3.8 Flash vs GPT-6 Astra#7 vs #1 on the ModelCap Index
- Gemini 3.8 Flash vs Muse Spark 1.3#7 vs #2 on the ModelCap Index
- Claude Fable 5.1 vs Gemini 3.8 Flash#3 vs #7 on the ModelCap Index
- Claude Opus 5 vs Gemini 3.8 Flash#4 vs #7 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 Kimi K3#7 vs #6 on the ModelCap Index
- GPT-6 Astra vs GLM 5.3#1 vs #8 on the ModelCap Index
- Muse Spark 1.3 vs GLM 5.3#2 vs #8 on the ModelCap Index
- Claude Fable 5.1 vs GLM 5.3#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.