| Signal | Claude 3 Haiku | Delta | Gemma 3n 4B (free) |
|---|---|---|---|
Capabilities | 50 | +17 | |
Pricing | 1 | -29 | |
Context window size | 84 | +22 | |
Recency | 0 | -78 | |
Output Capacity | 60 | +5 | |
| Overall Result | 3 wins | of 5 | 2 wins |
3
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Anthropic
Gemma 3n 4B (free) saves you $87.50/month
That's $1050.00/year compared to Claude 3 Haiku at your current usage level of 100K calls/month.
| Metric | Claude 3 Haiku | Gemma 3n 4B (free) | Winner |
|---|---|---|---|
| Overall Score | 48 | 51 | Gemma 3n 4B (free) |
| Rank | #253 | #246 | Gemma 3n 4B (free) |
| Quality Rank | #253 | #246 | Gemma 3n 4B (free) |
| Adoption Rank | #253 | #246 | Gemma 3n 4B (free) |
| Parameters | -- | 4B | -- |
| Context Window | 200K | 8K | Claude 3 Haiku |
| Pricing | $0.25/$1.25/M | Free | -- |
| Signal Scores | |||
| Capabilities | 50 | 33 | Claude 3 Haiku |
| Pricing | 1 | 30 | Gemma 3n 4B (free) |
| Context window size | 84 | 62 | Claude 3 Haiku |
| Recency | 0 | 78 | Gemma 3n 4B (free) |
| Output Capacity | 60 | 55 | 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 48/100 (rank #253), placing it in the top 13% of all 290 models tracked.
Scores 51/100 (rank #246), placing it in the top 16% 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.
Both models are priced similarly, so the decision comes down to quality and features rather than cost.
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 (free) 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 ($0.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (51/100) 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 Gemma 3n 4B (free) are extremely close in overall performance (only 3 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
Gemma 3n 4B (free)
100% 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 (free) |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Anthropic
Gemma 3n 4B (free) saves you $1.95/month
That's 100% 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 (free) |
|---|---|---|
| Context Window | 200K | 8K |
| Max Output Tokens | 4,096 | 2,048 |
| Open Source | Yes | Yes |
| Created | Mar 13, 2024 | May 20, 2025 |
Gemma 3n 4B (free) scores 51/100 (rank #246) compared to Claude 3 Haiku's 48/100 (rank #253), giving it a 3-point advantage. Gemma 3n 4B (free) is the stronger overall choice, though Claude 3 Haiku may excel in specific areas like certain benchmarks.
Claude 3 Haiku is ranked #253 and Gemma 3n 4B (free) is ranked #246 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 (free) is cheaper at $0.00/M output tokens vs Claude 3 Haiku's $1.25/M output tokens — 1250.0x more expensive. Input token pricing: Claude 3 Haiku at $0.25/M vs Gemma 3n 4B (free) at $0.00/M.
Claude 3 Haiku has a larger context window of 200,000 tokens compared to Gemma 3n 4B (free)'s 8,192 tokens. A larger context window means the model can process longer documents and conversations.