Compare Gemma 4 31B It (free) from Google and Step 3.7 Flash from StepFun on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Gemma 4 31B It (free)
Step 3.7 FlashGemma 4 31B Instruct is a 30.7B dense multimodal model from Google DeepMind that supports both text and image inputs with text outputs. It features a massive 256K token context window, allowing it to process and analyze extensive documents and conversations. Additionally, the model offers a configurable thinking and reasoning mode along with native function support for advanced task execution.
step-3.7-flash is stepfun's flagship inference model, designed for high-complexity tasks that require deep reasoning and fast execution. It excels at decomposing multi-step problems, performing tool calls, and maintaining consistency across massive datasets. It is the preferred choice for complex workloads such as long-context agents, advanced software engineering, and end-to-end research automation.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Daily traffic served through AIHubMix — how demand for each model is trending.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
Gemma 4 31B It (free) accepts 262,144 and Step 3.7 Flash accepts 256,000 input tokens.
Gemma 4 31B It (free) accepts text, image and video input and supports reasoning, tool calling and long context; Step 3.7 Flash accepts text, image and video input.
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
Related model match-ups readers also look at.