| Signal | Claude 3 Haiku | Delta | GPT-4 Turbo (older v1106) |
|---|---|---|---|
Capabilities | 50 | -- | |
Benchmarks | 48 | +48 | |
Pricing | 1 | -29 | |
Context window size | 84 | +3 | |
Recency | 0 | -- | |
Output Capacity | 60 | -- | |
| Overall Result | 2 wins | of 6 | 1 wins |
8
days higher
4
days
18
days higher
Anthropic
OpenAI
Claude 3 Haiku saves you $2412.50/month
That's $28950.00/year compared to GPT-4 Turbo (older v1106) at your current usage level of 100K calls/month.
| Metric | Claude 3 Haiku | GPT-4 Turbo (older v1106) | Winner |
|---|---|---|---|
| Overall Score | 43 | 43 | Claude 3 Haiku |
| Rank | #284 | #286 | Claude 3 Haiku |
| Quality Rank | #284 | #286 | Claude 3 Haiku |
| Adoption Rank | #284 | #286 | Claude 3 Haiku |
| Parameters | -- | -- | -- |
| Context Window | 200K | 128K | Claude 3 Haiku |
| Pricing | $0.25/$1.25/M | $10.00/$30.00/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | Claude 3 Haiku |
| Benchmarks | 48 | -- | Claude 3 Haiku |
| Pricing | 1 | 30 | GPT-4 Turbo (older v1106) |
| Context window size | 84 | 81 | Claude 3 Haiku |
| Recency | 0 | 0 | Claude 3 Haiku |
| Output Capacity | 60 | 60 | Claude 3 Haiku |
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 43/100 (rank #284), placing it in the top 2% of all 290 models tracked.
Scores 43/100 (rank #286), placing it in the top 2% of all 290 models tracked.
With only a 0-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 3 Haiku offers 96% better value per quality point. At 1M tokens/day, you'd spend $22.50/month with Claude 3 Haiku vs $600.00/month with GPT-4 Turbo (older v1106) - a $577.50 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 3 Haiku also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (200K 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 (43/100) 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 3 Haiku and GPT-4 Turbo (older v1106) are extremely close in overall performance (only 0.29999999999999716 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Claude 3 Haiku
Marginally better benchmark scores; both are excellent
Best for Cost
Claude 3 Haiku
96% 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-4 Turbo (older v1106) |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Anthropic
OpenAI
Claude 3 Haiku saves you $52.05/month
That's 96% cheaper than GPT-4 Turbo (older v1106) 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-4 Turbo (older v1106) |
|---|---|---|
| Context Window | 200K | 128K |
| Max Output Tokens | 4,096 | 4,096 |
| Open Source | No | No |
| Created | Mar 13, 2024 | Nov 6, 2023 |
Claude 3 Haiku scores 43/100 (rank #284) compared to GPT-4 Turbo (older v1106)'s 43/100 (rank #286), giving it a 0-point advantage. Claude 3 Haiku is the stronger overall choice, though GPT-4 Turbo (older v1106) may excel in specific areas like certain benchmarks.
Claude 3 Haiku is ranked #284 and GPT-4 Turbo (older v1106) is ranked #286 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 3 Haiku is cheaper at $1.25/M output tokens vs GPT-4 Turbo (older v1106)'s $30.00/M output tokens - 24.0x more expensive. Input token pricing: Claude 3 Haiku at $0.25/M vs GPT-4 Turbo (older v1106) at $10.00/M.
Claude 3 Haiku has a larger context window of 200,000 tokens compared to GPT-4 Turbo (older v1106)'s 128,000 tokens. A larger context window means the model can process longer documents and conversations.