| Signal | Gemini 2.5 Flash Lite Preview 09-2025 | Delta | Tongyi DeepResearch 30B A3B |
|---|---|---|---|
Capabilities | 83 | +17 | |
Benchmarks | 75 | +75 | |
Pricing | 0 | 0 | |
Context window size | 96 | +14 | |
Recency | 100 | +1 | |
Output Capacity | 80 | -5 | |
| Overall Result | 4 wins | of 6 | 2 wins |
16
days ranked higher
0
days
14
days ranked higher
Alibaba
Gemini 2.5 Flash Lite Preview 09-2025 saves you $1.50/month
That's $18.00/year compared to Tongyi DeepResearch 30B A3B at your current usage level of 100K calls/month.
| Metric | Gemini 2.5 Flash Lite Preview 09-2025 | Tongyi DeepResearch 30B A3B | Winner |
|---|---|---|---|
| Overall Score | 84 | 82 | Gemini 2.5 Flash Lite Preview 09-2025 |
| Rank | #49 | #63 | Gemini 2.5 Flash Lite Preview 09-2025 |
| Quality Rank | #49 | #63 | Gemini 2.5 Flash Lite Preview 09-2025 |
| Adoption Rank | #49 | #63 | Gemini 2.5 Flash Lite Preview 09-2025 |
| Parameters | -- | 30B | -- |
| Context Window | 1049K | 131K | Gemini 2.5 Flash Lite Preview 09-2025 |
| Pricing | $0.10/$0.40/M | $0.09/$0.45/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 67 | Gemini 2.5 Flash Lite Preview 09-2025 |
| Benchmarks | 75 | -- | Gemini 2.5 Flash Lite Preview 09-2025 |
| Pricing | 0 | 1 | Tongyi DeepResearch 30B A3B |
| Context window size | 96 | 81 | Gemini 2.5 Flash Lite Preview 09-2025 |
| Recency | 100 | 98 | Gemini 2.5 Flash Lite Preview 09-2025 |
| Output Capacity | 80 | 85 | Tongyi DeepResearch 30B A3B |
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 84/100 (rank #49), placing it in the top 83% of all 290 models tracked.
Scores 82/100 (rank #63), placing it in the top 79% of all 290 models tracked.
With only a 2-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.
Gemini 2.5 Flash Lite Preview 09-2025 offers 7% better value per quality point. At 1M tokens/day, you'd spend $7.50/month with Gemini 2.5 Flash Lite Preview 09-2025 vs $8.10/month with Tongyi DeepResearch 30B A3B - a $0.60 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. Gemini 2.5 Flash Lite Preview 09-2025 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.40/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (84/100) 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
Gemini 2.5 Flash Lite Preview 09-2025 and Tongyi DeepResearch 30B A3B are extremely close in overall performance (only 1.6999999999999886 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Gemini 2.5 Flash Lite Preview 09-2025
Marginally better benchmark scores; both are excellent
Best for Cost
Gemini 2.5 Flash Lite Preview 09-2025
7% lower pricing; better value at scale
Best for Reliability
Gemini 2.5 Flash Lite Preview 09-2025
Higher uptime and faster response speeds
Best for Prototyping
Gemini 2.5 Flash Lite Preview 09-2025
Stronger community support and better developer experience
Best for Production
Gemini 2.5 Flash Lite Preview 09-2025
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemini 2.5 Flash Lite Preview 09-2025 | Tongyi DeepResearch 30B A3B |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Alibaba
Gemini 2.5 Flash Lite Preview 09-2025 saves you $0.0420/month
That's 6% cheaper than Tongyi DeepResearch 30B A3B 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 | Gemini 2.5 Flash Lite Preview 09-2025 | Tongyi DeepResearch 30B A3B |
|---|---|---|
| Context Window | 1.0M | 131K |
| Max Output Tokens | 65,536 | 131,072 |
| Open Source | No | Yes |
| Created | Sep 25, 2025 | Sep 18, 2025 |
Gemini 2.5 Flash Lite Preview 09-2025 scores 84/100 (rank #49) compared to Tongyi DeepResearch 30B A3B's 82/100 (rank #63), giving it a 2-point advantage. Gemini 2.5 Flash Lite Preview 09-2025 is the stronger overall choice, though Tongyi DeepResearch 30B A3B may excel in specific areas like certain benchmarks.
Gemini 2.5 Flash Lite Preview 09-2025 is ranked #49 and Tongyi DeepResearch 30B A3B is ranked #63 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.
Gemini 2.5 Flash Lite Preview 09-2025 is cheaper at $0.40/M output tokens vs Tongyi DeepResearch 30B A3B's $0.45/M output tokens - 1.1x more expensive. Input token pricing: Gemini 2.5 Flash Lite Preview 09-2025 at $0.10/M vs Tongyi DeepResearch 30B A3B at $0.09/M.
Gemini 2.5 Flash Lite Preview 09-2025 has a larger context window of 1,048,576 tokens compared to Tongyi DeepResearch 30B A3B's 131,072 tokens. A larger context window means the model can process longer documents and conversations.