DeepSeek V4.1 Flash is $0.1 cheaper per 1M input tokens (66% lower; 2.94x difference).
API cost decision in 10 seconds
🔥DeepSeek V4.1 Flash vs Qwen3.8 Omni Flash
Pick DeepSeek V4.1 Flash when budget and context both matter.
Budget verdict
Pick DeepSeek V4.1 Flash when budget and context both matter.
On the standard 1M input plus 500K output workload, DeepSeek V4.1 Flash is estimated at $0.33 vs $0.39 for Qwen3.8 Omni Flash, saving $0.05 (13.1% lower).
DeepSeek V4.1 Flash is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.51. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Cost winner changes by workload shape: input-heavy / RAG favors DeepSeek V4.1 Flash, balanced workload favors DeepSeek V4.1 Flash, and output-heavy chatbot favors Qwen3.8 Omni Flash.
| Workload shape | Token mix | Better pick | DeepSeek V4.1 Flash | Qwen3.8 Omni Flash |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | DeepSeek V4.1 Flash | $0.54 | $0.98 |
| Balanced workload | 1M input + 1M output | DeepSeek V4.1 Flash | $0.62 | $0.62 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3.8 Omni Flash | $2.89 | $2.5 |
Qwen3.8 Omni Flash is $0.1 cheaper per 1M output tokens (17.1% lower; 1.21x difference).
DeepSeek V4.1 Flash has 48.58K more context (1.05x larger).
DeepSeek V4.1 Flash is $0.05 cheaper on the standard workload (13.1% 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
DeepSeek V4.1 Flash has the lower input price; Qwen3.8 Omni Flash has the lower output price; DeepSeek V4.1 Flash offers the larger context window. For the 1M input plus 500K output sample, DeepSeek V4.1 Flash is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.33 for DeepSeek V4.1 Flash and $0.39 for Qwen3.8 Omni Flash.
Choose DeepSeek V4.1 Flash when you care most about lower input-token price, and larger context window.
Choose Qwen3.8 Omni Flash when you care most about lower output-token price.
- On the standard 1M input plus 500K output workload, DeepSeek V4.1 Flash is estimated at $0.33 vs $0.39 for Qwen3.8 Omni Flash, saving $0.05 (13.1% lower).
- DeepSeek V4.1 Flash is $0.05 cheaper on the standard workload (13.1% lower).
- DeepSeek V4.1 Flash is $0.1 cheaper per 1M input tokens (66% lower; 2.94x difference).
- Qwen3.8 Omni Flash is $0.1 cheaper per 1M output tokens (17.1% lower; 1.21x difference).
- DeepSeek V4.1 Flash has 48.58K more context (1.05x larger).
| Feature | 🔥DeepSeek V4.1 Flash (DeepSeek) | Qwen3.8 Omni Flash (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.051 | $0.15 |
| Completion Price per 1M tokens | $0.567 | $0.47 |
| Sample Workload Cost 1M input + 500K output | $0.33 | $0.39 |
| Context Window | 1.05M | 1M |
| Release Date | ||
| Popularity | #3 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | DeepSeek V4.1 Flash | On the standard 1M input plus 500K output workload, DeepSeek V4.1 Flash is estimated at $0.33 vs $0.39 for Qwen3.8 Omni Flash, saving $0.05 (13.1% lower). |
| High-volume input processing | DeepSeek V4.1 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 | DeepSeek V4.1 Flash | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- DeepSeek V4 Flash 0731 (free) can replace DeepSeek V4.1 Flash when lower sample workload cost matters most: $0.
- DeepSeek V4 Flash (free) can replace DeepSeek V4.1 Flash when lower sample workload cost matters most: $0.
- DeepSeek V4 Flash 0731 (batch) can replace DeepSeek V4.1 Flash when lower sample workload cost matters most: $0.12.
- DeepSeek V4 Flash 0423 can replace DeepSeek V4.1 Flash when lower sample workload cost matters most: $0.18.
- Llama 4 Scout offers 1.31M context with $0.25 sample workload cost.
- GPT-6 Luna offers 1.05M context with $0.35 sample workload cost.
- GPT-6 Luna Pro offers 1.05M context with $0.35 sample workload cost.
- GPT-6 Luna Pro (batch) offers 1.05M context with $0.17 sample workload cost.
- Kimi K3.1 Pro · MoonshotAI · #1
- DeepSeek V4.1 Flash 1017 · DeepSeek · #2
- GLM 5.3 Flash · Z.ai · #4
- GPT-6 Luna · OpenAI · #5
Cheaper alternatives
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Open Qwen modelsDeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...
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,...