DeepSeek V4.1 Flash vs Gemini 3.5 Flash-Lite
Empirical evaluation across autonomous coding benchmarks (SWE-bench Verified, LiveCodeBench), token economics, and multi-agent topology in Swarm.
For autonomous agentic coding where multi-file patch pass rate is paramount, DeepSeek V4.1 Flash holds the verified advantage (+4.2% advantage). Gemini 3.5 Flash-Lite is 4x cheaper on input tokens ($0.075/M vs $0.3/M). In Swarm multi-agent clusters, Both models sit in Tier 3 (Tier 3: Refined Open Subagent). Excellent peer redundancy or parallel Coder swarm execution.
DeepSeek V4.1 Flash
Coder SubagentGemini 3.5 Flash-Lite
Finder SubagentStandardized Coding & Reasoning Benchmarks
Verified, contamination-free benchmark scores with direct mathematical deltas.
| Benchmark Metric | DeepSeek V4.1 Flash | Gemini 3.5 Flash-Lite | Performance Delta |
|---|---|---|---|
| SWE-bench VerifiedReal-world GitHub issues resolved autonomously | 56.2% | 52% | DeepSeek V4.1 Flash (+4.2% advantage) |
| LiveCodeBenchPost-training cutoff algorithmic challenges | 52% | 45% | DeepSeek V4.1 Flash (+7% advantage) |
| LMSYS Coding EloCrowdsourced blind developer preference | 1360 | 1295 | DeepSeek V4.1 Flash (+65Elo advantage) |
| AIME (Competition Math)Deep multi-step deductive reasoning | 74.5% | — | DeepSeek V4.1 Flash (Only measured on 74.5) |
Token Economics & Operational Cost Ratio
Pricing per 1M tokens and prompt caching advantages for long-horizon sessions.
Gemini 3.5 Flash-Lite is 4x cheaper on input tokens ($0.075/M vs $0.3/M).
Output generation costs differ by 3x.
Prompt caching significantly reduces long-horizon AST parsing costs during multi-turn Swarm pairing sessions.
Swarm Multi-Agent Topology Synergy
How Swarm orchestrates DeepSeek V4.1 Flash and Gemini 3.5 Flash-Lite in autonomous engineering clusters.
DeepSeek V4.1 Flash
Recommended: Coder Subagent
High throughput and low pricing make it optimal for Stage 2 implementation workers.
Gemini 3.5 Flash-Lite
Recommended: Finder Subagent
Provides instant file discovery and test telemetry streaming.
When to Choose Which Model
Practical developer recommendations based on real-world engineering workloads.
Choose DeepSeek V4.1 Flash if:
- ✓Fast ~140 TPS execution
- ✓Strong JSON tool-calling syntax fidelity
- ✓Unbeatable economics for continuous integration agents
- ✓Need Coder Subagent specialization inside Swarm.
Choose Gemini 3.5 Flash-Lite if:
- ✓Unmatched 320 TPS generation throughput with sub-second TTFT
- ✓Rock-bottom $0.05 cost per task and $0.075/M input price
- ✓Massive context capacity with prompt caching efficiency
- ✓Need Finder Subagent specialization inside Swarm.
Frequently Asked Comparison Questions
Which model is better for autonomous software engineering: DeepSeek V4.1 Flash or Gemini 3.5 Flash-Lite?
For autonomous agentic coding where multi-file patch pass rate is paramount, DeepSeek V4.1 Flash holds the verified advantage (+4.2% advantage). Gemini 3.5 Flash-Lite is 4x cheaper on input tokens ($0.075/M vs $0.3/M). In Swarm multi-agent clusters, Both models sit in Tier 3 (Tier 3: Refined Open Subagent). Excellent peer redundancy or parallel Coder swarm execution. On SWE-bench Verified, DeepSeek V4.1 Flash scores 56.2% vs Gemini 3.5 Flash-Lite at 52%.
How do DeepSeek V4.1 Flash and Gemini 3.5 Flash-Lite compare on token pricing and operational economics?
Gemini 3.5 Flash-Lite is 4x cheaper on input tokens ($0.075/M vs $0.3/M). On cached prompts, DeepSeek V4.1 Flash costs $0.05/M vs Gemini 3.5 Flash-Lite at $0.015/M.
How does Swarm configure DeepSeek V4.1 Flash and Gemini 3.5 Flash-Lite in multi-agent workflows?
Both models sit in Tier 3 (Tier 3: Refined Open Subagent). Excellent peer redundancy or parallel Coder swarm execution. Swarm isolates code modifications in independent Git worktrees, allowing both models to operate in parallel without colliding working directories or git branch conflicts.