| Signal | Claude 3.5 Haiku | Delta | Qwen3 30B A3B Thinking 2507 |
|---|---|---|---|
Capabilities | 67 | -- | |
Benchmarks | 71 | +71 | |
Pricing | 4 | +4 | |
Context window size | 84 | +12 | |
Recency | 42 | -54 | |
Output Capacity | 65 | +45 | |
| Overall Result | 4 wins | of 6 | 1 wins |
6
days ranked higher
2
days
22
days ranked higher
Anthropic
Alibaba
Qwen3 30B A3B Thinking 2507 saves you $257.90/month
That's $3094.80/year compared to Claude 3.5 Haiku at your current usage level of 100K calls/month.
| Metric | Claude 3.5 Haiku | Qwen3 30B A3B Thinking 2507 | Winner |
|---|---|---|---|
| Overall Score | 66 | 67 | Qwen3 30B A3B Thinking 2507 |
| Rank | #162 | #157 | Qwen3 30B A3B Thinking 2507 |
| Quality Rank | #162 | #157 | Qwen3 30B A3B Thinking 2507 |
| Adoption Rank | #162 | #157 | Qwen3 30B A3B Thinking 2507 |
| Parameters | -- | 30B | -- |
| Context Window | 200K | 33K | Claude 3.5 Haiku |
| Pricing | $0.80/$4.00/M | $0.05/$0.34/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 67 | Claude 3.5 Haiku |
| Benchmarks | 71 | -- | Claude 3.5 Haiku |
| Pricing | 4 | 0 | Claude 3.5 Haiku |
| Context window size | 84 | 72 | Claude 3.5 Haiku |
| Recency | 42 | 97 | Qwen3 30B A3B Thinking 2507 |
| Output Capacity | 65 | 20 | Claude 3.5 Haiku |
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 66/100 (rank #162), placing it in the top 44% of all 290 models tracked.
Scores 67/100 (rank #157), placing it in the top 46% 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.
Qwen3 30B A3B Thinking 2507 offers 92% better value per quality point. At 1M tokens/day, you'd spend $5.86/month with Qwen3 30B A3B Thinking 2507 vs $72.00/month with Claude 3.5 Haiku — a $66.14 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. Qwen3 30B A3B Thinking 2507 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 ($0.34/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (67/100) 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 3.5 Haiku and Qwen3 30B A3B Thinking 2507 are extremely close in overall performance (only 1 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Claude 3.5 Haiku
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3 30B A3B Thinking 2507
92% lower pricing; better value at scale
Best for Reliability
Claude 3.5 Haiku
Higher uptime and faster response speeds
Best for Prototyping
Claude 3.5 Haiku
Stronger community support and better developer experience
Best for Production
Claude 3.5 Haiku
Wider enterprise adoption and proven at scale
by Anthropic
by Alibaba
| Capability | Claude 3.5 Haiku | Qwen3 30B A3B Thinking 2507 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
Anthropic
Alibaba
Qwen3 30B A3B Thinking 2507 saves you $5.74/month
That's 92% cheaper than Claude 3.5 Haiku 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 3.5 Haiku | Qwen3 30B A3B Thinking 2507 |
|---|---|---|
| Context Window | 200K | 33K |
| Max Output Tokens | 8,192 | -- |
| Open Source | Yes | Yes |
| Created | Nov 4, 2024 | Aug 28, 2025 |
Qwen3 30B A3B Thinking 2507 scores 67/100 (rank #157) compared to Claude 3.5 Haiku's 66/100 (rank #162), giving it a 1-point advantage. Qwen3 30B A3B Thinking 2507 is the stronger overall choice, though Claude 3.5 Haiku may excel in specific areas like certain benchmarks.
Claude 3.5 Haiku is ranked #162 and Qwen3 30B A3B Thinking 2507 is ranked #157 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.
Qwen3 30B A3B Thinking 2507 is cheaper at $0.34/M output tokens vs Claude 3.5 Haiku's $4.00/M output tokens — 11.8x more expensive. Input token pricing: Claude 3.5 Haiku at $0.80/M vs Qwen3 30B A3B Thinking 2507 at $0.05/M.
Claude 3.5 Haiku has a larger context window of 200,000 tokens compared to Qwen3 30B A3B Thinking 2507's 32,768 tokens. A larger context window means the model can process longer documents and conversations.