DeepSeek V4 Flash is $0.008 cheaper per 1M input tokens (6.7% lower; 1.07x difference).
API cost decision in 10 seconds
🔥DeepSeek V4 Flash vs 🔥Gemma 4 31B
Pick DeepSeek V4 Flash when budget and context both matter.
Budget verdict
Pick DeepSeek V4 Flash when budget and context both matter.
On the standard 1M input plus 500K output workload, DeepSeek V4 Flash is estimated at $0.22 vs $0.3 for Gemma 4 31B, saving $0.08 (26.6% lower).
DeepSeek V4 Flash is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.81. Use the calculator below to replace the sample workload with your own token volume.
DeepSeek V4 Flash is $0.15 cheaper per 1M output tokens (39.5% lower; 1.65x difference).
DeepSeek V4 Flash has 786.43K more context (4x larger).
DeepSeek V4 Flash is $0.08 cheaper on the standard workload (26.6% 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 Flash has the lower input price; DeepSeek V4 Flash has the lower output price; DeepSeek V4 Flash offers the larger context window. For the 1M input plus 500K output sample, DeepSeek V4 Flash is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.22 for DeepSeek V4 Flash and $0.3 for Gemma 4 31B.
Choose DeepSeek V4 Flash when you care most about lower input-token price, lower output-token price, and larger context window.
Choose Gemma 4 31B when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
- On the standard 1M input plus 500K output workload, DeepSeek V4 Flash is estimated at $0.22 vs $0.3 for Gemma 4 31B, saving $0.08 (26.6% lower).
- DeepSeek V4 Flash is $0.08 cheaper on the standard workload (26.6% lower).
- DeepSeek V4 Flash is $0.008 cheaper per 1M input tokens (6.7% lower; 1.07x difference).
- DeepSeek V4 Flash is $0.15 cheaper per 1M output tokens (39.5% lower; 1.65x difference).
- DeepSeek V4 Flash has 786.43K more context (4x larger).
| Feature | 🔥DeepSeek V4 Flash (DeepSeek) | 🔥Gemma 4 31B (Google) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.112 | $0.12 |
| Completion Price per 1M tokens | $0.224 | $0.37 |
| Sample Workload Cost 1M input + 500K output | $0.22 | $0.3 |
| Context Window | 1.05M | 262.14K |
| Release Date | ||
| Popularity Rank current rank | #1 | #18 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | DeepSeek V4 Flash | On the standard 1M input plus 500K output workload, DeepSeek V4 Flash is estimated at $0.22 vs $0.3 for Gemma 4 31B, saving $0.08 (26.6% lower). |
| High-volume input processing | DeepSeek V4 Flash | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | DeepSeek V4 Flash | 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.
- Gemma 4 26B A4B (free) can replace Gemma 4 31B when lower sample workload cost matters most: $0.
- Gemma 4 31B (free) can replace Gemma 4 31B when lower sample workload cost matters most: $0.
- Lyria 3 Pro Preview can replace Gemma 4 31B when lower sample workload cost matters most: $0.
- 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 Sonnet 4.6 · Anthropic · #3
- Owl Alpha · OpenRouter · #4
- DeepSeek V3.2 · DeepSeek · #5
Cheaper alternatives
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Open Google 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...
Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...