| Signal | Claude 3.5 Haiku | Delta | Phi 4 |
|---|---|---|---|
Capabilities | 67 | +33 | |
Benchmarks | 65 | -2 | |
Pricing | 4 | +4 | |
Context window size | 84 | +17 | |
Recency | 39 | -12 | |
Output Capacity | 65 | -5 | |
| Overall Result | 3 wins | of 6 | 3 wins |
9
days higher
7
days
14
days higher
Anthropic
Microsoft
Phi 4 saves you $266.50/month
That's $3198.00/year compared to Claude 3.5 Haiku at your current usage level of 100K calls/month.
| Metric | Claude 3.5 Haiku | Phi 4 | Winner |
|---|---|---|---|
| Overall Score | 66 | 66 | Claude 3.5 Haiku |
| Rank | #80 | #81 | Claude 3.5 Haiku |
| Quality Rank | #80 | #81 | Claude 3.5 Haiku |
| Adoption Rank | #80 | #81 | Claude 3.5 Haiku |
| Parameters | -- | -- | -- |
| Context Window | 200K | 16K | Claude 3.5 Haiku |
| Pricing | $0.80/$4.00/M | $0.07/$0.14/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 33 | Claude 3.5 Haiku |
| Benchmarks | 65 | 68 | Phi 4 |
| Pricing | 4 | 0 | Claude 3.5 Haiku |
| Context window size | 84 | 67 | Claude 3.5 Haiku |
| Recency | 39 | 51 | Phi 4 |
| Output Capacity | 65 | 70 | Phi 4 |
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%). Here's what the scores mean for these two models:
Scores 66/100 (rank #80), placing it in the top 73% of all 290 models tracked.
Scores 66/100 (rank #81), placing it in the top 72% of all 290 models tracked.
With only a 1-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.
Phi 4 offers 96% better value per quality point. At 1M tokens/day, you'd spend $3.08/month with Phi 4 vs $72.00/month with Claude 3.5 Haiku - a $68.92 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. Phi 4 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 ($0.14/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (66/100) 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 3.5 Haiku and Phi 4 are extremely close in overall performance (only 0.5 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Claude 3.5 Haiku
Marginally better benchmark scores; both are excellent
Best for Cost
Phi 4
96% 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 | Phi 4 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
Anthropic
Microsoft
Phi 4 saves you $5.95/month
That's 95% cheaper than Claude 3.5 Haiku 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 | Phi 4 |
|---|---|---|
| Context Window | 200K | 16K |
| Max Output Tokens | 8,192 | 16,384 |
| Open Source | No | Yes |
| Created | Nov 4, 2024 | Jan 10, 2025 |
Claude 3.5 Haiku scores 66/100 (rank #80) compared to Phi 4's 66/100 (rank #81), giving it a 1-point advantage. Claude 3.5 Haiku is the stronger overall choice, though Phi 4 may excel in specific areas like cost efficiency.
Claude 3.5 Haiku is ranked #80 and Phi 4 is ranked #81 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
Phi 4 is cheaper at $0.14/M output tokens vs Claude 3.5 Haiku's $4.00/M output tokens - 28.6x more expensive. Input token pricing: Claude 3.5 Haiku at $0.80/M vs Phi 4 at $0.07/M.
Claude 3.5 Haiku has a larger context window of 200,000 tokens compared to Phi 4's 16,384 tokens. A larger context window means the model can process longer documents and conversations.