| Signal | Claude 3 Haiku | Delta | GPT-5 |
|---|---|---|---|
Capabilities | 50 | -33 | |
Benchmarks | 48 | -39 | |
Pricing | 99 | +9 | |
Context window size | 84 | -5 | |
Recency | 0 | -82 | |
Output Capacity | 60 | -25 | |
| Overall Result | 1 wins | of 6 | 5 wins |
Score History
50.4
current score
GPT-5
right now
87.8
current score
Anthropic
OpenAI
Claude 3 Haiku saves you $537.50/month
That's $6450.00/year compared to GPT-5 at your current usage level of 100K calls/month.
| Metric | Claude 3 Haiku | GPT-5 | Winner |
|---|---|---|---|
| Overall Score | 50 | 88 | GPT-5 |
| Rank | #172 | #22 | GPT-5 |
| Quality Rank | #172 | #22 | GPT-5 |
| Adoption Rank | #172 | #22 | GPT-5 |
| Parameters | -- | -- | -- |
| Context Window | 200K | 400K | GPT-5 |
| Pricing | $0.25/$1.25/M | $1.25/$10.00/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 83 | GPT-5 |
| Benchmarks | 48 | 88 | GPT-5 |
| Pricing | 99 | 90 | Claude 3 Haiku |
| Context window size | 84 | 89 | GPT-5 |
| Recency | 0 | 82 | GPT-5 |
| Output Capacity | 60 | 85 | GPT-5 |
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 50/100 (rank #172), placing it in the top 41% of all 290 models tracked.
Scores 88/100 (rank #22), placing it in the top 93% of all 290 models tracked.
GPT-5 has a 37-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Claude 3 Haiku offers 87% better value per quality point. At 1M tokens/day, you'd spend $22.50/month with Claude 3 Haiku vs $168.75/month with GPT-5 - 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
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 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 ($1.25/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 clearly outperforms Claude 3 Haiku with a significant 37.4-point lead. For most general use cases, GPT-5 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
87% 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
| Capability | Claude 3 Haiku | GPT-5 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Anthropic
OpenAI
Claude 3 Haiku saves you $12.30/month
That's 86% cheaper than GPT-5 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 Haiku | GPT-5 |
|---|---|---|
| Context Window | 200K | 400K |
| Max Output Tokens | 4,096 | 128,000 |
| Open Source | No | No |
| Created | Mar 13, 2024 | Aug 7, 2025 |