| Signal | Gemma 3 4B | Delta | Qwen3 32B |
|---|---|---|---|
Capabilities | 50 | -17 | |
Pricing | 100 | +0 | |
Context window size | 81 | +8 | |
Recency | 56 | -8 | |
Output Capacity | 70 | -- | |
| Overall Result | 2 wins | of 5 | 2 wins |
Score History
40
current score
Tied
right now
40
current score
Alibaba
Gemma 3 4B saves you $14.00/month
That's $168.00/year compared to Qwen3 32B at your current usage level of 100K calls/month.
| Metric | Gemma 3 4B | Qwen3 32B | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #279 | #277 | Qwen3 32B |
| Quality Rank | #279 | #277 | Qwen3 32B |
| Adoption Rank | #279 | #277 | Qwen3 32B |
| Parameters | 4B | 32B | -- |
| Context Window | 131K | 41K | Gemma 3 4B |
| Pricing | $0.04/$0.08/M | $0.08/$0.28/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 67 | Qwen3 32B |
| Pricing | 100 | 100 | Gemma 3 4B |
| Context window size | 81 | 73 | Gemma 3 4B |
| Recency | 56 | 64 | Qwen3 32B |
| Output Capacity | 70 | 70 | Gemma 3 4B |
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 40/100 (rank #279), placing it in the top 4% of all 290 models tracked.
Scores 40/100 (rank #277), placing it in the top 5% 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.
Gemma 3 4B offers 67% better value per quality point. At 1M tokens/day, you'd spend $1.80/month with Gemma 3 4B vs $5.40/month with Qwen3 32B - a $3.60 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
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. Gemma 3 4B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.08/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (40/100) 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 3 4B and Qwen3 32B are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Gemma 3 4B
Marginally better benchmark scores; both are excellent
Best for Cost
Gemma 3 4B
67% lower pricing; better value at scale
Best for Reliability
Gemma 3 4B
Higher uptime and faster response speeds
Best for Prototyping
Gemma 3 4B
Stronger community support and better developer experience
Best for Production
Gemma 3 4B
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemma 3 4B | Qwen3 32B |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Alibaba
Gemma 3 4B saves you $0.3120/month
That's 65% cheaper than Qwen3 32B 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 | Gemma 3 4B | Qwen3 32B |
|---|---|---|
| Context Window | 131K | 41K |
| Max Output Tokens | 16,384 | 16,384 |
| Open Source | Yes | Yes |
| Created | Mar 13, 2025 | Apr 28, 2025 |