REVIEWS / COMPARE
DeepSeek R1 vs Gemini 3
It's close — DeepSeek R1 (8.8) and Gemini 3 (8.8) score nearly the same across real user voices. Pick on the specifics below.
| DeepSeek R1 | Gemini 3 | |
|---|---|---|
| RATING | 8.8 / 10 | 8.8 / 10 |
| CONFIDENCE | high | high |
| USER VOICES | 429 | 536 |
| POSITIVE | 70% | 65% |
| PRICE | — | — |
| RECOMMENDED | ✓ Yes | ✓ Yes |
DeepSeek R1
★ STRENGTHS
- Superior performance on math and coding benchmarks (MATH-500, Codeforces)
- Highly efficient training architecture ('Green energy of AI')
- Distilled smaller models (8B/70B) offer strong local performance
✗ WATCH OUT
- Significant latency; local inference can be 20x slower than proprietary alternatives
- Inconsistent censorship behaviors between cloud and local deployments
- Struggles with nuance, humor, and creative writing tasks
Gemini 3
★ STRENGTHS
- Top-tier benchmark performance (beats GPT-5.1, Sonnet 4.5 on TvP and ARC-AGI)
- Highly efficient at complex coding and large context execution
- Significantly cheaper reasoning cost per benchmark task than competitors
✗ WATCH OUT
- API reasoning traces are billed at higher output rates without user control
- GDPR and transparency concerns regarding server-side conversation saving
- Prone to intense sycophancy that can affect user objectivity
HOW THIS COMPARISON WAS BUILT
Both verdicts are synthesised from real user voices on Reddit, YouTube, Hacker News, ProductHunt, Trustpilot and editorial sources — 429 for DeepSeek R1, 536 for Gemini 3. No paid placement; ratings come from raw sentiment, not our opinion. Read the methodology.