| Signal | Gemma 4 31B | Delta | Qwen3.5 397B A17B |
|---|---|---|---|
Capabilities | 83 | -- | |
Benchmarks | 86 | +6 | |
Pricing | 100 | +2 | |
Context window size | 86 | -- | |
Recency | 100 | -- | |
Output Capacity | 20 | -60 | |
| Overall Result | 2 wins | of 6 | 1 wins |
Score History
80.5
current score
Gemma 4 31B
right now
79.6
current score
Alibaba
Gemma 4 31B saves you $124.00/month
That's $1488.00/year compared to Qwen3.5 397B A17B at your current usage level of 100K calls/month.
| Metric | Gemma 4 31B | Qwen3.5 397B A17B | Winner |
|---|---|---|---|
| Overall Score | 81 | 80 | Gemma 4 31B |
| Rank | #37 | #39 | Gemma 4 31B |
| Quality Rank | #37 | #39 | Gemma 4 31B |
| Adoption Rank | #37 | #39 | Gemma 4 31B |
| Parameters | 31B | 397B | -- |
| Context Window | 262K | 262K | -- |
| Pricing | $0.13/$0.38/M | $0.39/$2.34/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 83 | Gemma 4 31B |
| Benchmarks | 86 | 81 | Gemma 4 31B |
| Pricing | 100 | 98 | Gemma 4 31B |
| Context window size | 86 | 86 | Gemma 4 31B |
| Recency | 100 | 100 | Gemma 4 31B |
| Output Capacity | 20 | 80 | Qwen3.5 397B A17B |
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 81/100 (rank #37), placing it in the top 88% of all 290 models tracked.
Scores 80/100 (rank #39), placing it in the top 87% 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.
Gemma 4 31B offers 81% better value per quality point. At 1M tokens/day, you'd spend $7.65/month with Gemma 4 31B vs $40.95/month with Qwen3.5 397B A17B - a $33.30 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 4 31B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.38/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (81/100) 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 4 31B and Qwen3.5 397B A17B are extremely close in overall performance (only 0.9000000000000057 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Gemma 4 31B
Marginally better benchmark scores; both are excellent
Best for Cost
Gemma 4 31B
81% lower pricing; better value at scale
Best for Reliability
Gemma 4 31B
Higher uptime and faster response speeds
Best for Prototyping
Gemma 4 31B
Stronger community support and better developer experience
Best for Production
Gemma 4 31B
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemma 4 31B | Qwen3.5 397B A17B |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Alibaba
Gemma 4 31B saves you $2.82/month
That's 80% cheaper than Qwen3.5 397B A17B 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 4 31B | Qwen3.5 397B A17B |
|---|---|---|
| Context Window | 262K | 262K |
| Max Output Tokens | -- | 65,536 |
| Open Source | Yes | Yes |
| Created | Apr 2, 2026 | Feb 16, 2026 |