Ox Alpha is free for input tokens while Qwen3.8 2.4T A95B costs $2 per 1M tokens.
API cost decision in 10 seconds
New🔥Ox Alpha vs NewQwen3.8 2.4T A95B
Pick Ox Alpha when budget is the priority.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Ox Alpha when budget is the priority.
On the standard 1M input plus 500K output workload, Ox Alpha is estimated at $0 vs $5 for Qwen3.8 2.4T A95B, saving $5 (100% lower).
Cost-first pickOx Alpha
Context-first pickBoth models
Sample savings$5100%
10x traffic gap$50
The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $50. 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 | Ox Alpha | Qwen3.8 2.4T A95B |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Ox Alpha | $0 | $13 |
| Balanced workload | 1M input + 1M output | Ox Alpha | $0 | $8 |
| Output-heavy chatbot | 1M input + 5M output | Ox Alpha | $0 | $32 |
Ox Alpha is free for output tokens while Qwen3.8 2.4T A95B costs $6 per 1M tokens.
Both models report the same context window at 1.05M tokens.
Ox Alpha is free for the standard workload while the other model is estimated at $5.
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; both models report the same 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 for Ox Alpha and $5 for Qwen3.8 2.4T A95B.
Choose Ox Alpha when you care most about lower input-token price, and lower output-token price.
Choose Qwen3.8 2.4T A95B when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
- On the standard 1M input plus 500K output workload, Ox Alpha is estimated at $0 vs $5 for Qwen3.8 2.4T A95B, saving $5 (100% lower).
- Ox Alpha is free for the standard workload while the other model is estimated at $5.
- Ox Alpha is free for input tokens while Qwen3.8 2.4T A95B costs $2 per 1M tokens.
- Ox Alpha is free for output tokens while Qwen3.8 2.4T A95B costs $6 per 1M tokens.
- Both models report the same context window at 1.05M tokens.
| Feature | New🔥Ox Alpha (stealth) | NewQwen3.8 2.4T A95B (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $0 | $2 |
| Completion Price per 1M tokens | $0 | $6 |
| Sample Workload Cost 1M input + 500K output | $0 | $5 |
| Context Window | 1.05M | 1.05M |
| Release Date | ||
| Popularity | #4 |
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 $5 for Qwen3.8 2.4T A95B, saving $5 (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 | Tie | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Qwen3 Next 80B A3B Instruct (free) can replace Qwen3.8 2.4T A95B when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3.8 2.4T A95B when lower sample workload cost matters most: $0.
- Qwen3.7 Flash can replace Qwen3.8 2.4T A95B when lower sample workload cost matters most: $0.1.
- Qwen3 30B A3B Instruct 2507 can replace Qwen3.8 2.4T A95B when lower sample workload cost matters most: $0.14.
- Grok 4.20 Multi-Agent offers 2M context with $2.5 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.17 sample workload cost.
- DeepSeek V4 Flash Latest offers 1.31M context with $0.11 sample workload cost.
- DeepSeek V4 Flash 0731 · DeepSeek · #1
- MiMo-V2.5 · Xiaomi · #2
- Hy3 · Tencent · #3
- DeepSeek V4 Flash 0423 · DeepSeek · #5
Cheaper alternatives
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Open Qwen modelsOx 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...
Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total. It is...