StepFun Step 3.5 Flash vs Google Antigravity
Which one should you pick? Here's the full breakdown.
StepFun Step 3.5 Flash
StepFun's (China) agent-focused open-weight model -- Step 3.5 Flash launched 2026-02-01. 196B sparse MoE, ~11B active. Benchmarks slightly ahead of DeepSeek V3.2 at over 3x smaller total size. Step 3 (321B / 38B active, Apache 2.0) and Step3-VL-10B multimodal also in the family
Google Antigravity
Google's agent-first AI IDE -- deploys up to 5 autonomous coding agents in parallel on a VS Code fork
Powered by Gemini 3.1 Pro / Claude Opus 4.6 / GPT-OSS 120B (multi-model)
| Category | StepFun Step 3.5 Flash | Google Antigravity |
|---|---|---|
| Ease of Use | 6.0 | 8.0 |
| Output Quality | 8.0 | 8.5 |
| Value | 9.0 | 6.0 |
| Features | 8.0 | 9.5 |
| Overall | 7.8 | 8.0 |
Pricing Comparison
| Feature | StepFun Step 3.5 Flash | Google Antigravity |
|---|---|---|
| Free Tier | Yes | Yes |
| Starting Price | $0 | $0 |
Which Should You Pick?
Pick StepFun Step 3.5 Flash if...
- ✓Better value for money (9/10)
Teams building agent systems on Chinese open-weight foundations who want something other than DeepSeek or Qwen, especially if agentic tool-use is the primary workload. Also good for Chinese-market products where StepFun's domestic tuning advantages matter. And for anyone looking to add diversity to their open-weight evaluation matrix beyond the top-3 Chinese labs.
Visit StepFun Step 3.5 FlashPick Google Antigravity if...
- ✓Easier to use (8 vs 6)
- ✓More features (9.5 vs 8)
Developers working on large, multi-file projects who want to parallelize their workflow. If you regularly work on 3-5 tasks simultaneously (fix a bug, add a feature, write tests, refactor), Antigravity's multi-agent architecture is unmatched.
Visit Google AntigravityOur Verdict
StepFun Step 3.5 Flash and Google Antigravity are extremely close overall. Your choice comes down to specific needs -- StepFun Step 3.5 Flash is better for teams building agent systems on chinese open-weight foundations who want something other than deepseek or qwen, especially if agentic tool-use is the primary workload, while Google Antigravity works best for developers working on large, multi-file projects who want to parallelize their workflow.