gpt-oss-120b is $0.01 cheaper per 1M input tokens (28.4% lower; 1.4x difference).
API cost decision in 10 seconds
🔥DeepSeek V4 Flash 0423 vs gpt-oss-120b
Pick DeepSeek V4 Flash 0423 when budget and context both matter.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick DeepSeek V4 Flash 0423 when budget and context both matter.
On the standard 1M input plus 500K output workload, DeepSeek V4 Flash 0423 is estimated at $0.1 vs $0.12 for gpt-oss-120b, saving $0.02 (15.3% lower).
Cost-first pickDeepSeek V4 Flash 0423
Context-first pickDeepSeek V4 Flash 0423
Sample savings$0.0215.3%
10x traffic gap$0.19
DeepSeek V4 Flash 0423 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.19. 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 gpt-oss-120b, balanced workload favors DeepSeek V4 Flash 0423, and output-heavy chatbot favors DeepSeek V4 Flash 0423.
| Workload shape | Token mix | Better pick | DeepSeek V4 Flash 0423 | gpt-oss-120b |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | gpt-oss-120b | $0.31 | $0.27 |
| Balanced workload | 1M input + 1M output | DeepSeek V4 Flash 0423 | $0.15 | $0.21 |
| Output-heavy chatbot | 1M input + 5M output | DeepSeek V4 Flash 0423 | $0.57 | $0.89 |
DeepSeek V4 Flash 0423 is $0.07 cheaper per 1M output tokens (39.2% lower; 1.65x difference).
DeepSeek V4 Flash 0423 has 917.5K more context (8x larger).
DeepSeek V4 Flash 0423 is $0.02 cheaper on the standard workload (15.3% 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
gpt-oss-120b has the lower input price; DeepSeek V4 Flash 0423 has the lower output price; DeepSeek V4 Flash 0423 offers the larger context window. For the 1M input plus 500K output sample, DeepSeek V4 Flash 0423 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.1 for DeepSeek V4 Flash 0423 and $0.12 for gpt-oss-120b.
Choose DeepSeek V4 Flash 0423 when you care most about lower output-token price, and larger context window.
Choose gpt-oss-120b when you care most about lower input-token price.
- On the standard 1M input plus 500K output workload, DeepSeek V4 Flash 0423 is estimated at $0.1 vs $0.12 for gpt-oss-120b, saving $0.02 (15.3% lower).
- DeepSeek V4 Flash 0423 is $0.02 cheaper on the standard workload (15.3% lower).
- gpt-oss-120b is $0.01 cheaper per 1M input tokens (28.4% lower; 1.4x difference).
- DeepSeek V4 Flash 0423 is $0.07 cheaper per 1M output tokens (39.2% lower; 1.65x difference).
- DeepSeek V4 Flash 0423 has 917.5K more context (8x larger).
| Feature | 🔥DeepSeek V4 Flash 0423 (DeepSeek) | gpt-oss-120b (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.0517 | $0.037 |
| Completion Price per 1M tokens | $0.1033 | $0.17 |
| Sample Workload Cost 1M input + 500K output | $0.1 | $0.12 |
| Context Window | 1.05M | 131.07K |
| Release Date | ||
| Popularity | #5 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | DeepSeek V4 Flash 0423 | On the standard 1M input plus 500K output workload, DeepSeek V4 Flash 0423 is estimated at $0.1 vs $0.12 for gpt-oss-120b, saving $0.02 (15.3% lower). |
| High-volume input processing | gpt-oss-120b | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | DeepSeek V4 Flash 0423 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | DeepSeek V4 Flash 0423 | 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 0423 when lower sample workload cost matters most: $0.
- gpt-oss-120b (free) can replace gpt-oss-120b when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace gpt-oss-120b when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace gpt-oss-120b when lower sample workload cost matters most: $0.1.
- DeepSeek V4 Flash Latest offers 1.31M context with $0.11 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash 0731 · DeepSeek · #1
- MiMo-V2.5 · Xiaomi · #2
- Hy3 · Tencent · #3
- Ox Alpha · stealth · #4
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Open OpenAI 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...
gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...