| Signal | Gemma 4 31B | Delta | Qwen3.5-Flash |
|---|---|---|---|
Capabilities | 83 | -- | |
Benchmarks | 86 | +20 | |
Pricing | 100 | -- | |
Context window size | 77 | -8 | |
Recency | 100 | -- | |
Output Capacity | 90 | +10 | |
| Overall Result | 2 wins | of 6 | 1 wins |
Score History
80
current score
Gemma 4 31B
right now
68.1
current score
Alibaba
Qwen3.5-Flash saves you $10.00/month
That's $120.00/year compared to Gemma 4 31B at your current usage level of 100K calls/month.
| Metric | Gemma 4 31B | Qwen3.5-Flash | Winner |
|---|---|---|---|
| Overall Score | 80 | 68 | Gemma 4 31B |
| Rank | #46 | #105 | Gemma 4 31B |
| Quality Rank | #46 | #105 | Gemma 4 31B |
| Adoption Rank | #46 | #105 | Gemma 4 31B |
| Parameters | 31B | -- | -- |
| Context Window | 262K | 1000K | Qwen3.5-Flash |
| Pricing | $0.12/$0.35/M | $0.07/$0.26/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 83 | Gemma 4 31B |
| Benchmarks | 86 | 66 | Gemma 4 31B |
| Pricing | 100 | 100 | Gemma 4 31B |
| Context window size | 77 | 86 | Qwen3.5-Flash |
| Recency | 100 | 100 | Gemma 4 31B |
| Output Capacity | 90 | 80 | Gemma 4 31B |
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 80/100 (rank #46), placing it in the top 84% of all 290 models tracked.
Scores 68/100 (rank #105), placing it in the top 64% of all 290 models tracked.
Gemma 4 31B has a 12-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Qwen3.5-Flash offers 31% better value per quality point. At 1M tokens/day, you'd spend $4.88/month with Qwen3.5-Flash vs $7.05/month with Gemma 4 31B - a $2.17 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. Qwen3.5-Flash also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.26/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (80/100) 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 clearly outperforms Qwen3.5-Flash with a significant 11.900000000000006-point lead. For most general use cases, Gemma 4 31B is the stronger choice. However, Qwen3.5-Flash may still excel in niche scenarios.
Best for Quality
Gemma 4 31B
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3.5-Flash
31% 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-Flash |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Alibaba
Qwen3.5-Flash saves you $0.2070/month
That's 33% cheaper than Gemma 4 31B 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-Flash |
|---|---|---|
| Context Window | 262K | 1M |
| Max Output Tokens | 262,144 | 65,536 |
| Open Source | Yes | No |
| Created | Apr 2, 2026 | Feb 25, 2026 |