| Signal | Claude 3.5 Haiku | Delta | GPT-5 Codex |
|---|---|---|---|
Capabilities | 67 | -17 | |
Benchmarks | 63 | -25 | |
Pricing | 96 | +6 | |
Context window size | 84 | -5 | |
Recency | 32 | -59 | |
Output Capacity | 65 | -20 | |
| Overall Result | 1 wins | of 6 | 5 wins |
Score History
58.3
current score
GPT-5 Codex
right now
87.8
current score
Anthropic
OpenAI
Claude 3.5 Haiku saves you $345.00/month
That's $4140.00/year compared to GPT-5 Codex at your current usage level of 100K calls/month.
| Metric | Claude 3.5 Haiku | GPT-5 Codex | Winner |
|---|---|---|---|
| Overall Score | 58 | 88 | GPT-5 Codex |
| Rank | #155 | #21 | GPT-5 Codex |
| Quality Rank | #155 | #21 | GPT-5 Codex |
| Adoption Rank | #155 | #21 | GPT-5 Codex |
| Parameters | -- | -- | -- |
| Context Window | 200K | 400K | GPT-5 Codex |
| Pricing | $0.80/$4.00/M | $1.25/$10.00/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 83 | GPT-5 Codex |
| Benchmarks | 63 | 88 | GPT-5 Codex |
| Pricing | 96 | 90 | Claude 3.5 Haiku |
| Context window size | 84 | 89 | GPT-5 Codex |
| Recency | 32 | 91 | GPT-5 Codex |
| Output Capacity | 65 | 85 | GPT-5 Codex |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 58/100 (rank #155), placing it in the top 47% of all 290 models tracked.
Scores 88/100 (rank #21), placing it in the top 93% of all 290 models tracked.
GPT-5 Codex has a 30-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Claude 3.5 Haiku offers 57% better value per quality point. At 1M tokens/day, you'd spend $72.00/month with Claude 3.5 Haiku vs $168.75/month with GPT-5 Codex - a $96.75 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
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Claude 3.5 Haiku 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 ($4.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (88/100) 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 Codex clearly outperforms Claude 3.5 Haiku with a significant 29.5-point lead. For most general use cases, GPT-5 Codex is the stronger choice. However, Claude 3.5 Haiku may still excel in niche scenarios.
Best for Quality
Claude 3.5 Haiku
Marginally better benchmark scores; both are excellent
Best for Cost
Claude 3.5 Haiku
57% lower pricing; better value at scale
Best for Reliability
Claude 3.5 Haiku
Higher uptime and faster response speeds
Best for Prototyping
Claude 3.5 Haiku
Stronger community support and better developer experience
Best for Production
Claude 3.5 Haiku
Wider enterprise adoption and proven at scale
by Anthropic
| Capability | Claude 3.5 Haiku | GPT-5 Codex |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
Anthropic
OpenAI
Claude 3.5 Haiku saves you $8.01/month
That's 56% cheaper than GPT-5 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 3.5 Haiku | GPT-5 Codex |
|---|---|---|
| Context Window | 200K | 400K |
| Max Output Tokens | 8,192 | 128,000 |
| Open Source | No | No |
| Created | Nov 4, 2024 | Sep 23, 2025 |