| Signal | Claude Haiku 4.5 | Delta | GPT-5.2-Codex |
|---|---|---|---|
Capabilities | 100 | -- | |
Pricing | 5 | -9 | |
Context window size | 84 | -5 | |
Recency | 100 | -- | |
Output Capacity | 80 | -5 | |
| Overall Result | 0 wins | of 5 | 3 wins |
6
days ranked higher
1
days
23
days ranked higher
Anthropic
OpenAI
Claude Haiku 4.5 saves you $525.00/month
That's $6300.00/year compared to GPT-5.2-Codex at your current usage level of 100K calls/month.
| Metric | Claude Haiku 4.5 | GPT-5.2-Codex | Winner |
|---|---|---|---|
| Overall Score | 94 | 96 | GPT-5.2-Codex |
| Rank | #20 | #9 | GPT-5.2-Codex |
| Quality Rank | #20 | #9 | GPT-5.2-Codex |
| Adoption Rank | #20 | #9 | GPT-5.2-Codex |
| Parameters | -- | -- | -- |
| Context Window | 200K | 400K | GPT-5.2-Codex |
| Pricing | $1.00/$5.00/M | $1.75/$14.00/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 100 | Claude Haiku 4.5 |
| Pricing | 5 | 14 | GPT-5.2-Codex |
| Context window size | 84 | 89 | GPT-5.2-Codex |
| Recency | 100 | 100 | Claude Haiku 4.5 |
| Output Capacity | 80 | 85 | GPT-5.2-Codex |
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 94/100 (rank #20), placing it in the top 93% of all 290 models tracked.
Scores 96/100 (rank #9), placing it in the top 97% of all 290 models tracked.
With only a 2-point gap, these models are in the same performance tier. The practical difference in output quality is minimal — your choice should depend on pricing, latency requirements, and specific feature needs.
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-Codex — 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 (96/100) 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
Claude Haiku 4.5 and GPT-5.2-Codex are extremely close in overall performance (only 1.7000000000000028 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
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-Codex |
|---|---|---|
| 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-Codex 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-Codex |
|---|---|---|
| Context Window | 200K | 400K |
| Max Output Tokens | 64,000 | 128,000 |
| Open Source | No | No |
| Created | Oct 15, 2025 | Jan 14, 2026 |
GPT-5.2-Codex scores 96/100 (rank #9) compared to Claude Haiku 4.5's 94/100 (rank #20), giving it a 2-point advantage. GPT-5.2-Codex is the stronger overall choice, though Claude Haiku 4.5 may excel in specific areas like cost efficiency.
Claude Haiku 4.5 is ranked #20 and GPT-5.2-Codex is ranked #9 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-Codex'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-Codex at $1.75/M.
GPT-5.2-Codex 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.