Ox Alpha is free for input tokens while Qwen3.8 Omni Flash costs $0.15 per 1M tokens.
API cost decision in 10 seconds
NewQwen3.8 Omni Flash vs Ox Alpha
Pick Ox Alpha when budget and context both matter.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Ox Alpha when budget and context both matter.
On the standard 1M input plus 500K output workload, Ox Alpha is estimated at $0 vs $0.39 for Qwen3.8 Omni Flash, saving $0.39 (100% lower).
Cost-first pickOx Alpha
Context-first pickOx Alpha
Sample savings$0.39100%
10x traffic gap$3.85
Ox Alpha is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $3.85. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Ox Alpha stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Qwen3.8 Omni Flash | Ox Alpha |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Ox Alpha | $0.98 | $0 |
| Balanced workload | 1M input + 1M output | Ox Alpha | $0.62 | $0 |
| Output-heavy chatbot | 1M input + 5M output | Ox Alpha | $2.5 | $0 |
Ox Alpha is free for output tokens while Qwen3.8 Omni Flash costs $0.47 per 1M tokens.
Ox Alpha has 48.58K more context (1.05x larger).
Ox Alpha is free for the standard workload while the other model is estimated at $0.39.
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
Ox Alpha has the lower input price; Ox Alpha has the lower output price; Ox Alpha offers the larger context window. For the 1M input plus 500K output sample, Ox Alpha is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.39 for Qwen3.8 Omni Flash and $0 for Ox Alpha.
Choose Qwen3.8 Omni Flash when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
Choose Ox Alpha when you care most about lower input-token price, lower output-token price, and larger context window.
- On the standard 1M input plus 500K output workload, Ox Alpha is estimated at $0 vs $0.39 for Qwen3.8 Omni Flash, saving $0.39 (100% lower).
- Ox Alpha is free for the standard workload while the other model is estimated at $0.39.
- Ox Alpha is free for input tokens while Qwen3.8 Omni Flash costs $0.15 per 1M tokens.
- Ox Alpha is free for output tokens while Qwen3.8 Omni Flash costs $0.47 per 1M tokens.
- Ox Alpha has 48.58K more context (1.05x larger).
| Feature | NewQwen3.8 Omni Flash (Qwen) | Ox Alpha (stealth) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.15 | $0 |
| Completion Price per 1M tokens | $0.47 | $0 |
| Sample Workload Cost 1M input + 500K output | $0.39 | $0 |
| Context Window | 1M | 1.05M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Ox Alpha | On the standard 1M input plus 500K output workload, Ox Alpha is estimated at $0 vs $0.39 for Qwen3.8 Omni Flash, saving $0.39 (100% lower). |
| High-volume input processing | Ox Alpha | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Ox Alpha | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Ox Alpha | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Qwen3.8 27B (free) can replace Qwen3.8 Omni Flash when lower sample workload cost matters most: $0.
- Qwen3 Next 80B A3B Instruct (free) can replace Qwen3.8 Omni Flash when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3.8 Omni Flash when lower sample workload cost matters most: $0.
- Qwen3.7 Flash can replace Qwen3.8 Omni Flash when lower sample workload cost matters most: $0.1.
- GLM 5.3 Flash offers 1.31M context with $0.4 sample workload cost.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.36 sample workload cost.
- GLM Flash Latest offers 1.31M context with $0.2 sample workload cost.
- DeepSeek V4 Flash Latest offers 1.31M context with $0.43 sample workload cost.
- MiMo-V2.6-Pro · Xiaomi · #1
- Qwen3.8 Max (0902) · Qwen · #2
- DeepSeek V4.1 Flash · DeepSeek · #3
- GLM 5.3 Flash · Z.ai · #4
Cheaper alternatives
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Open stealth modelsQwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding. It is suited for audio-video analysis and summarization,...
Ox Alpha is a reasoning model designed for coding, sustained agentic work, and production workloads. It is suited for long-horizon software engineering, complex reasoning, and workflows that combine text with...