| Signal | Claude Haiku 4.5 | Delta | GPT-5.2 |
|---|---|---|---|
Capabilities | 100 | -- | |
Benchmarks | 71 | -18 | |
Pricing | 5 | -9 | |
Context window size | 84 | -5 | |
Recency | 100 | -- | |
Output Capacity | 80 | -5 | |
| Overall Result | 0 wins | of 6 | 4 wins |
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Anthropic
OpenAI
Claude Haiku 4.5 saves you $525.00/month
That's $6300.00/year compared to GPT-5.2 at your current usage level of 100K calls/month.
| Metric | Claude Haiku 4.5 | GPT-5.2 | Winner |
|---|---|---|---|
| Overall Score | 83 | 93 | GPT-5.2 |
| Rank | #54 | #5 | GPT-5.2 |
| Quality Rank | #54 | #5 | GPT-5.2 |
| Adoption Rank | #54 | #5 | GPT-5.2 |
| Parameters | -- | -- | -- |
| Context Window | 200K | 400K | GPT-5.2 |
| Pricing | $1.00/$5.00/M | $1.75/$14.00/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 100 | Claude Haiku 4.5 |
| Benchmarks | 71 | 89 | GPT-5.2 |
| Pricing | 5 | 14 | GPT-5.2 |
| Context window size | 84 | 89 | GPT-5.2 |
| Recency | 100 | 100 | Claude Haiku 4.5 |
| Output Capacity | 80 | 85 | GPT-5.2 |
Our composite score (0–100) combines six weighted signals: benchmark performance (25%), pricing efficiency (25%), context window size (15%), model recency (15%), output capacity (10%), and capability versatility (10%). Here's what the scores mean for these two models:
Scores 83/100 (rank #54), placing it in the top 82% of all 290 models tracked.
Scores 93/100 (rank #5), placing it in the top 99% of all 290 models tracked.
GPT-5.2 has a 10-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Claude Haiku 4.5 offers 62% better value per quality point. At 1M tokens/day, you'd spend $90.00/month with Claude Haiku 4.5 vs $236.25/month with GPT-5.2 - a $146.25 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. Claude Haiku 4.5 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (400K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($5.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (93/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
GPT-5.2 has a moderate advantage with a 9.700000000000003-point lead in composite score. It wins on more signal dimensions, but Claude Haiku 4.5 has specific strengths that could make it the better choice for certain workflows.
Best for Quality
Claude Haiku 4.5
Marginally better benchmark scores; both are excellent
Best for Cost
Claude Haiku 4.5
62% lower pricing; better value at scale
Best for Reliability
Claude Haiku 4.5
Higher uptime and faster response speeds
Best for Prototyping
Claude Haiku 4.5
Stronger community support and better developer experience
Best for Production
Claude Haiku 4.5
Wider enterprise adoption and proven at scale
by Anthropic
| Capability | Claude Haiku 4.5 | GPT-5.2 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Anthropic
OpenAI
Claude Haiku 4.5 saves you $12.15/month
That's 61% cheaper than GPT-5.2 at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Claude Haiku 4.5 | GPT-5.2 |
|---|---|---|
| Context Window | 200K | 400K |
| Max Output Tokens | 64,000 | 128,000 |
| Open Source | No | No |
| Created | Oct 15, 2025 | Dec 10, 2025 |
GPT-5.2 scores 93/100 (rank #5) compared to Claude Haiku 4.5's 83/100 (rank #54), giving it a 10-point advantage. GPT-5.2 is the stronger overall choice, though Claude Haiku 4.5 may excel in specific areas like cost efficiency.
Claude Haiku 4.5 is ranked #54 and GPT-5.2 is ranked #5 out of 290+ AI models. Rankings use a composite score combining benchmark performance (25%), pricing (25%), context window (15%), recency (15%), output capacity (10%), and versatility (10%). Scores update hourly.
Claude Haiku 4.5 is cheaper at $5.00/M output tokens vs GPT-5.2's $14.00/M output tokens - 2.8x more expensive. Input token pricing: Claude Haiku 4.5 at $1.00/M vs GPT-5.2 at $1.75/M.
GPT-5.2 has a larger context window of 400,000 tokens compared to Claude Haiku 4.5's 200,000 tokens. A larger context window means the model can process longer documents and conversations.