Qwen3.8 Omni Flash is $0.65 cheaper per 1M input tokens (81.2% lower; 5.33x difference).
API cost decision in 10 seconds
NewPareto 26.10 Preview vs Qwen3.8 Omni Flash
Pick Qwen3.8 Omni Flash for lower cost; pick Pareto 26.10 Preview only if the larger context window matters more.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Qwen3.8 Omni Flash for lower cost; pick Pareto 26.10 Preview only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Qwen3.8 Omni Flash is estimated at $0.39 vs $2.4 for Pareto 26.10 Preview, saving $2.02 (84% lower).
Cost-first pickQwen3.8 Omni Flash
Context-first pickPareto 26.10 Preview
Sample savings$2.0284%
10x traffic gap$20.15
Pareto 26.10 Preview has more context, but Qwen3.8 Omni Flash saves $2.02 on the standard workload. At 10x that traffic, the same price gap is about $20.15. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Qwen3.8 Omni Flash stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Pareto 26.10 Preview | Qwen3.8 Omni Flash |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3.8 Omni Flash | $5.6 | $0.98 |
| Balanced workload | 1M input + 1M output | Qwen3.8 Omni Flash | $4 | $0.62 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3.8 Omni Flash | $16.8 | $2.5 |
Qwen3.8 Omni Flash is $2.73 cheaper per 1M output tokens (85.3% lower; 6.81x difference).
Pareto 26.10 Preview has 48.58K more context (1.05x larger).
Qwen3.8 Omni Flash is $2.02 cheaper on the standard workload (84% lower).
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
Qwen3.8 Omni Flash has the lower input price; Qwen3.8 Omni Flash has the lower output price; Pareto 26.10 Preview offers the larger context window. For the 1M input plus 500K output sample, Qwen3.8 Omni Flash is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $2.4 for Pareto 26.10 Preview and $0.39 for Qwen3.8 Omni Flash.
Choose Pareto 26.10 Preview when you care most about larger context window.
Choose Qwen3.8 Omni Flash when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Qwen3.8 Omni Flash is estimated at $0.39 vs $2.4 for Pareto 26.10 Preview, saving $2.02 (84% lower).
- Qwen3.8 Omni Flash is $2.02 cheaper on the standard workload (84% lower).
- Qwen3.8 Omni Flash is $0.65 cheaper per 1M input tokens (81.2% lower; 5.33x difference).
- Qwen3.8 Omni Flash is $2.73 cheaper per 1M output tokens (85.3% lower; 6.81x difference).
- Pareto 26.10 Preview has 48.58K more context (1.05x larger).
| Feature | NewPareto 26.10 Preview (unbiased) | Qwen3.8 Omni Flash (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.8 | $0.15 |
| Completion Price per 1M tokens | $3.2 | $0.47 |
| Sample Workload Cost 1M input + 500K output | $2.4 | $0.39 |
| Context Window | 1.05M | 1M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Qwen3.8 Omni Flash | On the standard 1M input plus 500K output workload, Qwen3.8 Omni Flash is estimated at $0.39 vs $2.4 for Pareto 26.10 Preview, saving $2.02 (84% lower). |
| High-volume input processing | Qwen3.8 Omni Flash | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Qwen3.8 Omni Flash | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Pareto 26.10 Preview | 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.
- 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.
- Llama 4 Scout offers 1.31M context with $0.47 sample workload cost.
- MiMo-V2.6-Flash offers 1.05M context with $0.28 sample workload cost.
- DeepSeek V4.1 Flash · DeepSeek · #1
- Step 5 Preview · StepFun · #2
- GLM 5.3 Flash · Z.ai · #3
- MiMo-V2.6-Flash · Xiaomi · #4
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsunbiased catalog
Review all tracked unbiased models before deciding whether this matchup is the right shortlist.
Open unbiased modelsQwen catalog
Check other Qwen models with comparable pricing, context, or release timing.
Open Qwen modelsPareto is a multimodal composite model built for research, coding, and agentic workflows, while delivering frontier-level performance across a broad range of general-purpose tasks. This is a preview of the...
Qwen3.8 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,...