Qwen3.8 Omni Flash is $2.13 cheaper per 1M input tokens (93.4% lower; 15.2x difference).
API cost decision in 10 seconds
NewQwen3.8 Omni Flash vs Kimi K3 (batch)
Pick Qwen3.8 Omni Flash for lower cost; pick Kimi K3 (batch) only if the larger context window matters more.
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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 Kimi K3 (batch) 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 $7.98 for Kimi K3 (batch), saving $7.6 (95.2% lower).
Cost-first pickQwen3.8 Omni Flash
Context-first pickKimi K3 (batch)
Sample savings$7.695.2%
10x traffic gap$75.95
Kimi K3 (batch) has more context, but Qwen3.8 Omni Flash saves $7.6 on the standard workload. At 10x that traffic, the same price gap is about $75.95. 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 | Qwen3.8 Omni Flash | Kimi K3 (batch) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3.8 Omni Flash | $0.98 | $17.1 |
| Balanced workload | 1M input + 1M output | Qwen3.8 Omni Flash | $0.62 | $13.68 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3.8 Omni Flash | $2.5 | $59.28 |
Qwen3.8 Omni Flash is $10.93 cheaper per 1M output tokens (95.9% lower; 24.3x difference).
Kimi K3 (batch) has 48.58K more context (1.05x larger).
Qwen3.8 Omni Flash is $7.6 cheaper on the standard workload (95.2% 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; Kimi K3 (batch) 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 $0.39 for Qwen3.8 Omni Flash and $7.98 for Kimi K3 (batch).
Choose Qwen3.8 Omni Flash when you care most about lower input-token price, and lower output-token price.
Choose Kimi K3 (batch) when you care most about larger context window.
- On the standard 1M input plus 500K output workload, Qwen3.8 Omni Flash is estimated at $0.39 vs $7.98 for Kimi K3 (batch), saving $7.6 (95.2% lower).
- Qwen3.8 Omni Flash is $7.6 cheaper on the standard workload (95.2% lower).
- Qwen3.8 Omni Flash is $2.13 cheaper per 1M input tokens (93.4% lower; 15.2x difference).
- Qwen3.8 Omni Flash is $10.93 cheaper per 1M output tokens (95.9% lower; 24.3x difference).
- Kimi K3 (batch) has 48.58K more context (1.05x larger).
| Feature | NewQwen3.8 Omni Flash (Qwen) | Kimi K3 (batch) (MoonshotAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.15 | $2.28 |
| Completion Price per 1M tokens | $0.47 | $11.4 |
| Sample Workload Cost 1M input + 500K output | $0.39 | $7.98 |
| Context Window | 1M | 1.05M |
| 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 $7.98 for Kimi K3 (batch), saving $7.6 (95.2% 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 | Kimi K3 (batch) | 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.
- 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.
- 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
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Open MoonshotAI 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,...
Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at...