| Signal | Claude 3 Haiku | Delta | Gemma 3n 4B |
|---|---|---|---|
Capabilities | 50 | +33 | |
Benchmarks | 48 | +48 | |
Pricing | 1 | +1 | |
Context window size | 84 | +12 | |
Recency | 0 | -77 | |
Output Capacity | 60 | +40 | |
| Overall Result | 5 wins | of 6 | 1 wins |
2
days ranked higher
2
days
26
days ranked higher
Anthropic
Gemma 3n 4B saves you $83.50/month
That's $1002.00/year compared to Claude 3 Haiku at your current usage level of 100K calls/month.
| Metric | Claude 3 Haiku | Gemma 3n 4B | Winner |
|---|---|---|---|
| Overall Score | 43 | 46 | Gemma 3n 4B |
| Rank | #273 | #268 | Gemma 3n 4B |
| Quality Rank | #273 | #268 | Gemma 3n 4B |
| Adoption Rank | #273 | #268 | Gemma 3n 4B |
| Parameters | -- | 4B | -- |
| Context Window | 200K | 33K | Claude 3 Haiku |
| Pricing | $0.25/$1.25/M | $0.02/$0.04/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 17 | Claude 3 Haiku |
| Benchmarks | 48 | -- | Claude 3 Haiku |
| Pricing | 1 | 0 | Claude 3 Haiku |
| Context window size | 84 | 72 | Claude 3 Haiku |
| Recency | 0 | 77 | Gemma 3n 4B |
| Output Capacity | 60 | 20 | 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 #273), placing it in the top 6% of all 290 models tracked.
Scores 46/100 (rank #268), placing it in the top 8% of all 290 models tracked.
With only a 3-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.
Gemma 3n 4B offers 96% better value per quality point. At 1M tokens/day, you'd spend $0.90/month with Gemma 3n 4B vs $22.50/month with Claude 3 Haiku - a $21.60 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. Gemma 3n 4B 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 ($0.04/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (46/100) 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
Gemma 3n 4B has a moderate advantage with a 3.299999999999997-point lead in composite score. It wins on more signal dimensions, but Claude 3 Haiku has specific strengths that could make it the better choice for certain workflows.
Best for Quality
Claude 3 Haiku
Marginally better benchmark scores; both are excellent
Best for Cost
Gemma 3n 4B
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 | Gemma 3n 4B |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Anthropic
Gemma 3n 4B saves you $1.87/month
That's 96% cheaper than Claude 3 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 Haiku | Gemma 3n 4B |
|---|---|---|
| Context Window | 200K | 33K |
| Max Output Tokens | 4,096 | -- |
| Open Source | No | Yes |
| Created | Mar 13, 2024 | May 20, 2025 |
Gemma 3n 4B scores 46/100 (rank #268) compared to Claude 3 Haiku's 43/100 (rank #273), giving it a 3-point advantage. Gemma 3n 4B is the stronger overall choice, though Claude 3 Haiku may excel in specific areas like certain benchmarks.
Claude 3 Haiku is ranked #273 and Gemma 3n 4B is ranked #268 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.
Gemma 3n 4B is cheaper at $0.04/M output tokens vs Claude 3 Haiku's $1.25/M output tokens - 31.3x more expensive. Input token pricing: Claude 3 Haiku at $0.25/M vs Gemma 3n 4B at $0.02/M.
Claude 3 Haiku has a larger context window of 200,000 tokens compared to Gemma 3n 4B's 32,768 tokens. A larger context window means the model can process longer documents and conversations.