| Signal | Gemini 2.5 Flash | Delta | o3 |
|---|---|---|---|
Capabilities | 71 | -14 | |
Context window size | 96 | +11 | |
Output Capacity | 80 | -3 | |
Pricing Tier | 3 | -5 | |
Recency | 86 | +11 | |
Versatility | 100 | +33 | |
| Overall Result | 3 wins | of 6 | 3 wins |
16
days ranked higher
1
days
13
days ranked higher
OpenAI
Gemini 2.5 Flash saves you $445.00/month
That's $5340.00/year compared to o3 at your current usage level of 100K calls/month.
| Metric | Gemini 2.5 Flash | o3 | Winner |
|---|---|---|---|
| Overall Score | 64 | 62 | Gemini 2.5 Flash |
| Rank | #36 | #44 | Gemini 2.5 Flash |
| Quality Rank | #36 | #44 | Gemini 2.5 Flash |
| Adoption Rank | #36 | #44 | Gemini 2.5 Flash |
| Parameters | -- | -- | -- |
| Context Window | 1049K | 200K | Gemini 2.5 Flash |
| Pricing | $0.30/$2.50/M | $2.00/$8.00/M | -- |
| Signal Scores | |||
| Capabilities | 71 | 86 | o3 |
| Context window size | 96 | 84 | Gemini 2.5 Flash |
| Output Capacity | 80 | 83 | o3 |
| Pricing Tier | 3 | 8 | o3 |
| Recency | 86 | 74 | Gemini 2.5 Flash |
| Versatility | 100 | 67 | Gemini 2.5 Flash |
Gemini 2.5 Flash and o3 are extremely close in overall performance (only 1.5 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Gemini 2.5 Flash
Marginally better benchmark scores; both are excellent
Best for Cost
Gemini 2.5 Flash
72% lower pricing; better value at scale
Best for Reliability
Gemini 2.5 Flash
Higher uptime and faster response speeds
Best for Prototyping
Gemini 2.5 Flash
Stronger community support and better developer experience
Best for Production
Gemini 2.5 Flash
Wider enterprise adoption and proven at scale
by Google
Gemini 2.5 Flash currently scores higher (64 vs 62), but the best choice depends on your specific use case, budget, and requirements.
Gemini 2.5 Flash is ranked #36 and o3 is ranked #44. Rankings are based on a composite score from multiple signals including benchmarks, community sentiment, and adoption metrics.
Compare the detailed pricing breakdown above to see which model offers better value for your usage pattern.