DeepSeek V4.1 Flash (Venice) vs Grok 4.3 (Venice)
On the 25 use cases both models ran, DeepSeek V4.1 Flash (Venice) won 19 to 6 (better outcome first, then lower cost).
Pass rate: DeepSeek V4.1 Flash (Venice) 86% (29 runs) vs Grok 4.3 (Venice) 88% (25 runs). Average cost per run: $0.01 vs $0.01.
| Metric | DeepSeek V4.1 Flash (Venice) | Grok 4.3 (Venice) |
|---|---|---|
| Runs on shared use cases | 29 | 25 |
| Pass rate | 86% (25/29) | 88% (22/25) |
| Avg cost per run | $0.01 | $0.01 |
| Avg wall time | 2m | 16s |
| Step-ins per run | 0.00 | 0.00 |
| Use cases won | 19 | 6 |
Use case by use case
- Agent bake-off: find a premium flight home: DeepSeek V4.1 Flash (Venice) better (pass 100% vs 100%)
- Analyze five months of AI coding-agent session logs: DeepSeek V4.1 Flash (Venice) better (pass 100% vs 100%)
- Audit a full disk without touching it, then hand over an approve-before-delete cleanup script: DeepSeek V4.1 Flash (Venice) better (pass 100% vs 0%)
- Build a 3D fishing game in three.js: Grok 4.3 (Venice) better (pass 50% vs 100%)
- Build a 3D Sonic-style platformer in three.js: Grok 4.3 (Venice) better (pass 50% vs 100%)
- Build a 4-page bakery-cafe website (HTML/CSS): Grok 4.3 (Venice) better (pass 100% vs 100%)
- Build a full game (code, art, audio) with AI: Grok 4.3 (Venice) better (pass 50% vs 100%)
- Build a landing page from extracted design tokens: DeepSeek V4.1 Flash (Venice) better (pass 100% vs 0%)
- Call a car rental company to add an infant seat: DeepSeek V4.1 Flash (Venice) better (pass 100% vs 100%)
- Carry out device tweaks but stop and ask before anything irreversible or out of scope: DeepSeek V4.1 Flash (Venice) better (pass 100% vs 0%)
- Debloat your own Android TV over ADB with a backup and a one-command undo: DeepSeek V4.1 Flash (Venice) better (pass 100% vs 100%)
- Diagnose why GitHub Actions stopped running: DeepSeek V4.1 Flash (Venice) better (pass 100% vs 100%)
- Fill and submit job applications from a resume: DeepSeek V4.1 Flash (Venice) better (pass 100% vs 100%)
- Fix three bugs in a Python repo so its tests pass: DeepSeek V4.1 Flash (Venice) better (pass 100% vs 100%)
- Give an agent $10 to spend in an agent tool store: DeepSeek V4.1 Flash (Venice) better (pass 100% vs 100%)
- Implement 5 Python functions from a task list: DeepSeek V4.1 Flash (Venice) better (pass 100% vs 100%)
- Implement a spec exactly, with nothing extra: DeepSeek V4.1 Flash (Venice) better (pass 100% vs 100%)
- Let agents run growth for a meeting-notetaker app: DeepSeek V4.1 Flash (Venice) better (pass 100% vs 100%)
- One-shot a Minecraft-style voxel game in three.js: Grok 4.3 (Venice) better (pass 50% vs 100%)
- Research use cases and build pitch slides: Grok 4.3 (Venice) better (pass 100% vs 100%)
- Reverse engineer a security patch for an exploited CVE: DeepSeek V4.1 Flash (Venice) better (pass 100% vs 100%)
- Run business WhatsApp customer messages with an agent: DeepSeek V4.1 Flash (Venice) better (pass 100% vs 100%)
- Run store-operations tasks on a mock e-commerce store: DeepSeek V4.1 Flash (Venice) better (pass 100% vs 100%)
- Test AI browser agents on real workday tasks: DeepSeek V4.1 Flash (Venice) better (pass 100% vs 100%)
- Text World Cup final scores to a Signal group: DeepSeek V4.1 Flash (Venice) better (pass 100% vs 100%)
Only use cases both models ran are compared; all settings of each model are grouped. How we score.