| Signal | Claude 3 Haiku | Delta | GPT-5.2 |
|---|---|---|---|
Capabilities | 43 | -43 | |
Context window size | 84 | -5 | |
Output Capacity | 60 | -25 | |
Pricing Tier | 1 | -13 | |
Recency | 2 | -98 | |
Versatility | 50 | -17 | |
| Overall Result | 0 wins | of 6 | 6 wins |
0
days ranked higher
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days
30
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Anthropic
OpenAI
Claude 3 Haiku saves you $787.50/month
That's $9450.00/year compared to GPT-5.2 at your current usage level of 100K calls/month.
| Metric | Claude 3 Haiku | GPT-5.2 | Winner |
|---|---|---|---|
| Overall Score | 35 | 68 | GPT-5.2 |
| Rank | #255 | #13 | GPT-5.2 |
| Quality Rank | #255 | #13 | GPT-5.2 |
| Adoption Rank | #255 | #13 | GPT-5.2 |
| Parameters | -- | -- | -- |
| Context Window | 200K | 400K | GPT-5.2 |
| Pricing | $0.25/$1.25/M | $1.75/$14.00/M | -- |
| Signal Scores | |||
| Capabilities | 43 | 86 | GPT-5.2 |
| Context window size | 84 | 89 | GPT-5.2 |
| Output Capacity | 60 | 85 | GPT-5.2 |
| Pricing Tier | 1 | 14 | GPT-5.2 |
| Recency | 2 | 100 | GPT-5.2 |
| Versatility | 50 | 67 | GPT-5.2 |
GPT-5.2 clearly outperforms Claude 3 Haiku with a significant 33.50000000000001-point lead. For most general use cases, GPT-5.2 is the stronger choice. However, Claude 3 Haiku may still excel in niche scenarios.
Best for Quality
Claude 3 Haiku
Marginally better benchmark scores; both are excellent
Best for Cost
Claude 3 Haiku
90% lower pricing; better value at scale
Best for Reliability
Claude 3 Haiku
Higher uptime and faster response speeds
Best for Prototyping
Claude 3 Haiku
Stronger community support and better developer experience
Best for Production
Claude 3 Haiku
Wider enterprise adoption and proven at scale
by Anthropic
GPT-5.2 currently scores higher (68 vs 35), but the best choice depends on your specific use case, budget, and requirements.
Claude 3 Haiku is ranked #255 and GPT-5.2 is ranked #13. 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.