Step 3.5 Flash is $0.02 cheaper per 1M input tokens (16.7% lower; 1.2x difference).
API cost decision in 10 seconds
🔥Step 3.5 Flash vs 🔥Gemma 4 31B
Pick Step 3.5 Flash when budget is the priority.
Budget verdict
Pick Step 3.5 Flash when budget is the priority.
On the standard 1M input plus 500K output workload, Step 3.5 Flash is estimated at $0.25 vs $0.3 for Gemma 4 31B, saving $0.05 (18% lower).
The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $0.55. Use the calculator below to replace the sample workload with your own token volume.
Step 3.5 Flash is $0.07 cheaper per 1M output tokens (18.9% lower; 1.23x difference).
Both models report the same context window at 262.14K tokens.
Step 3.5 Flash is $0.05 cheaper on the standard workload (18% 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
Step 3.5 Flash has the lower input price; Step 3.5 Flash has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Step 3.5 Flash is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.25 for Step 3.5 Flash and $0.3 for Gemma 4 31B.
Choose Step 3.5 Flash when you care most about lower input-token price, and lower output-token price.
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, Step 3.5 Flash is estimated at $0.25 vs $0.3 for Gemma 4 31B, saving $0.05 (18% lower).
- Step 3.5 Flash is $0.05 cheaper on the standard workload (18% lower).
- Step 3.5 Flash is $0.02 cheaper per 1M input tokens (16.7% lower; 1.2x difference).
- Step 3.5 Flash is $0.07 cheaper per 1M output tokens (18.9% lower; 1.23x difference).
- Both models report the same context window at 262.14K tokens.
| Feature | 🔥Step 3.5 Flash (StepFun) | 🔥Gemma 4 31B (Google) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.1 | $0.12 |
| Completion Price per 1M tokens | $0.3 | $0.37 |
| Sample Workload Cost 1M input + 500K output | $0.25 | $0.3 |
| Context Window | 262.14K | 262.14K |
| Release Date | ||
| Popularity Rank current rank | #9 | #18 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Step 3.5 Flash | On the standard 1M input plus 500K output workload, Step 3.5 Flash is estimated at $0.25 vs $0.3 for Gemma 4 31B, saving $0.05 (18% lower). |
| High-volume input processing | Step 3.5 Flash | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Step 3.5 Flash | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Tie | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- 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.
- Lyria 3 Clip 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.
- DeepSeek V4 Flash offers 1.05M context with $0.22 sample workload cost.
- Gemini 2.5 Flash Lite offers 1.05M context with $0.3 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Sonnet 4.6 · Anthropic · #3
- Owl Alpha · OpenRouter · #4
Cheaper alternatives
Review low-cost models ranked by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsStepFun catalog
Review all tracked StepFun models before deciding whether this matchup is the right shortlist.
Open StepFun modelsGoogle catalog
Check other Google models with comparable pricing, context, or release timing.
Open Google modelsStep 3.5 Flash is StepFun's most capable open-source foundation model. Built on a sparse Mixture of Experts (MoE) architecture, it selectively activates only 11B of its 196B parameters per token....
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...