Qwen3 235B A22B Instruct 2507 is $0.03 cheaper per 1M input tokens (29% lower; 1.41x difference).
API cost decision in 10 seconds
🔥DeepSeek V4 Flash vs Qwen3 235B A22B Instruct 2507
Pick Qwen3 235B A22B Instruct 2507 for lower cost; pick DeepSeek V4 Flash 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 235B A22B Instruct 2507 for lower cost; pick DeepSeek V4 Flash only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Qwen3 235B A22B Instruct 2507 is estimated at $0.12 vs $0.2 for DeepSeek V4 Flash, saving $0.08 (39.5% lower).
Cost-first pickQwen3 235B A22B Instruct 2507
Context-first pickDeepSeek V4 Flash
Sample savings$0.0839.5%
10x traffic gap$0.79
DeepSeek V4 Flash has more context, but Qwen3 235B A22B Instruct 2507 saves $0.08 on the standard workload. At 10x that traffic, the same price gap is about $0.79. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Qwen3 235B A22B Instruct 2507 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | DeepSeek V4 Flash | Qwen3 235B A22B Instruct 2507 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3 235B A22B Instruct 2507 | $0.6 | $0.4 |
| Balanced workload | 1M input + 1M output | Qwen3 235B A22B Instruct 2507 | $0.3 | $0.17 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3 235B A22B Instruct 2507 | $1.1 | $0.57 |
Qwen3 235B A22B Instruct 2507 is $0.1 cheaper per 1M output tokens (50% lower; 2x difference).
DeepSeek V4 Flash has 786.43K more context (4x larger).
Qwen3 235B A22B Instruct 2507 is $0.08 cheaper on the standard workload (39.5% 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 235B A22B Instruct 2507 has the lower input price; Qwen3 235B A22B Instruct 2507 has the lower output price; DeepSeek V4 Flash offers the larger context window. For the 1M input plus 500K output sample, Qwen3 235B A22B Instruct 2507 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.2 for DeepSeek V4 Flash and $0.12 for Qwen3 235B A22B Instruct 2507.
Choose DeepSeek V4 Flash when you care most about larger context window.
Choose Qwen3 235B A22B Instruct 2507 when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Qwen3 235B A22B Instruct 2507 is estimated at $0.12 vs $0.2 for DeepSeek V4 Flash, saving $0.08 (39.5% lower).
- Qwen3 235B A22B Instruct 2507 is $0.08 cheaper on the standard workload (39.5% lower).
- Qwen3 235B A22B Instruct 2507 is $0.03 cheaper per 1M input tokens (29% lower; 1.41x difference).
- Qwen3 235B A22B Instruct 2507 is $0.1 cheaper per 1M output tokens (50% lower; 2x difference).
- DeepSeek V4 Flash has 786.43K more context (4x larger).
| Feature | 🔥DeepSeek V4 Flash (DeepSeek) | Qwen3 235B A22B Instruct 2507 (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.1 | $0.071 |
| Completion Price per 1M tokens | $0.2 | $0.1 |
| Sample Workload Cost 1M input + 500K output | $0.2 | $0.12 |
| Context Window | 1.05M | 262.14K |
| Release Date | ||
| Popularity | #1 | #42 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Qwen3 235B A22B Instruct 2507 | On the standard 1M input plus 500K output workload, Qwen3 235B A22B Instruct 2507 is estimated at $0.12 vs $0.2 for DeepSeek V4 Flash, saving $0.08 (39.5% lower). |
| High-volume input processing | Qwen3 235B A22B Instruct 2507 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Qwen3 235B A22B Instruct 2507 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | DeepSeek V4 Flash | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- DeepSeek V4 Flash (free) can replace DeepSeek V4 Flash when lower sample workload cost matters most: $0.
- Qwen3 Next 80B A3B Instruct (free) can replace Qwen3 235B A22B Instruct 2507 when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3 235B A22B Instruct 2507 when lower sample workload cost matters most: $0.
- Qwen2.5 7B Instruct can replace Qwen3 235B A22B Instruct 2507 when lower sample workload cost matters most: $0.09.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
- Owl Alpha · OpenRouter · #5
Cheaper alternatives
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Open Qwen modelsDeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and...
Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following,...