| Signal | Claude Opus 4.1 | Delta | Tongyi DeepResearch 30B A3B |
|---|---|---|---|
Capabilities | 100 | +33 | |
Benchmarks | 73 | +73 | |
Pricing | 75 | +75 | |
Context window size | 84 | +3 | |
Recency | 90 | -8 | |
Output Capacity | 75 | -10 | |
| Overall Result | 4 wins | of 6 | 2 wins |
8
days ranked higher
4
days
18
days ranked higher
Anthropic
Alibaba
Tongyi DeepResearch 30B A3B saves you $5218.50/month
That's $62622.00/year compared to Claude Opus 4.1 at your current usage level of 100K calls/month.
| Metric | Claude Opus 4.1 | Tongyi DeepResearch 30B A3B | Winner |
|---|---|---|---|
| Overall Score | 82 | 82 | -- |
| Rank | #64 | #63 | Tongyi DeepResearch 30B A3B |
| Quality Rank | #64 | #63 | Tongyi DeepResearch 30B A3B |
| Adoption Rank | #64 | #63 | Tongyi DeepResearch 30B A3B |
| Parameters | -- | 30B | -- |
| Context Window | 200K | 131K | Claude Opus 4.1 |
| Pricing | $15.00/$75.00/M | $0.09/$0.45/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 67 | Claude Opus 4.1 |
| Benchmarks | 73 | -- | Claude Opus 4.1 |
| Pricing | 75 | 1 | Claude Opus 4.1 |
| Context window size | 84 | 81 | Claude Opus 4.1 |
| Recency | 90 | 98 | Tongyi DeepResearch 30B A3B |
| Output Capacity | 75 | 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 82/100 (rank #64), placing it in the top 78% of all 290 models tracked.
Scores 82/100 (rank #63), placing it in the top 79% 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.
Tongyi DeepResearch 30B A3B offers 99% better value per quality point. At 1M tokens/day, you'd spend $8.10/month with Tongyi DeepResearch 30B A3B vs $1350.00/month with Claude Opus 4.1 - a $1341.90 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. Tongyi DeepResearch 30B A3B 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 ($0.45/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (82/100) 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 Opus 4.1 and Tongyi DeepResearch 30B A3B 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
Claude Opus 4.1
Marginally better benchmark scores; both are excellent
Best for Cost
Tongyi DeepResearch 30B A3B
99% lower pricing; better value at scale
Best for Reliability
Claude Opus 4.1
Higher uptime and faster response speeds
Best for Prototyping
Claude Opus 4.1
Stronger community support and better developer experience
Best for Production
Claude Opus 4.1
Wider enterprise adoption and proven at scale
by Anthropic
| Capability | Claude Opus 4.1 | Tongyi DeepResearch 30B A3B |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
Anthropic
Alibaba
Tongyi DeepResearch 30B A3B saves you $116.30/month
That's 99% cheaper than Claude Opus 4.1 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 Opus 4.1 | Tongyi DeepResearch 30B A3B |
|---|---|---|
| Context Window | 200K | 131K |
| Max Output Tokens | 32,000 | 131,072 |
| Open Source | No | Yes |
| Created | Aug 5, 2025 | Sep 18, 2025 |
Both Claude Opus 4.1 and Tongyi DeepResearch 30B A3B score 82/100, making them extremely close competitors. Choose based on pricing, provider ecosystem, or specific capability requirements.
Claude Opus 4.1 is ranked #64 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.
Tongyi DeepResearch 30B A3B is cheaper at $0.45/M output tokens vs Claude Opus 4.1's $75.00/M output tokens - 166.7x more expensive. Input token pricing: Claude Opus 4.1 at $15.00/M vs Tongyi DeepResearch 30B A3B at $0.09/M.
Claude Opus 4.1 has a larger context window of 200,000 tokens compared to Tongyi DeepResearch 30B A3B's 131,072 tokens. A larger context window means the model can process longer documents and conversations.