Qwen3.8 Omni Flash is $1.85 cheaper per 1M input tokens (92.5% lower; 13.3x difference).
API cost decision in 10 seconds
NewQwen3.8 Omni Flash vs GPT Sol Latest
Pick Qwen3.8 Omni Flash for lower cost; pick GPT Sol Latest 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 GPT Sol Latest 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 for GPT Sol Latest, saving $6.62 (94.5% lower).
Cost-first pickQwen3.8 Omni Flash
Context-first pickGPT Sol Latest
Sample savings$6.6294.5%
10x traffic gap$66.15
GPT Sol Latest has more context, but Qwen3.8 Omni Flash saves $6.62 on the standard workload. At 10x that traffic, the same price gap is about $66.15. 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 | Qwen3.8 Omni Flash | GPT Sol Latest |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3.8 Omni Flash | $0.98 | $15 |
| Balanced workload | 1M input + 1M output | Qwen3.8 Omni Flash | $0.62 | $12 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3.8 Omni Flash | $2.5 | $52 |
Qwen3.8 Omni Flash is $9.53 cheaper per 1M output tokens (95.3% lower; 21.3x difference).
GPT Sol Latest has 50K more context (1.05x larger).
Qwen3.8 Omni Flash is $6.62 cheaper on the standard workload (94.5% 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; GPT Sol Latest 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 for GPT Sol Latest.
Choose Qwen3.8 Omni Flash when you care most about lower input-token price, and lower output-token price.
Choose GPT Sol Latest 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 for GPT Sol Latest, saving $6.62 (94.5% lower).
- Qwen3.8 Omni Flash is $6.62 cheaper on the standard workload (94.5% lower).
- Qwen3.8 Omni Flash is $1.85 cheaper per 1M input tokens (92.5% lower; 13.3x difference).
- Qwen3.8 Omni Flash is $9.53 cheaper per 1M output tokens (95.3% lower; 21.3x difference).
- GPT Sol Latest has 50K more context (1.05x larger).
| Feature | NewQwen3.8 Omni Flash (Qwen) | GPT Sol Latest (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.15 | $2 |
| Completion Price per 1M tokens | $0.47 | $10 |
| Sample Workload Cost 1M input + 500K output | $0.39 | $7 |
| 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 for GPT Sol Latest, saving $6.62 (94.5% 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 | GPT Sol Latest | 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 OpenAI 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,...
This model always redirects to the latest model in the GPT Sol family.