| Signal | Claude Haiku 4.5 | Delta | Qwen3.5-27B |
|---|---|---|---|
Capabilities | 100 | +17 | |
Pricing | 5 | +3 | |
Context window size | 84 | -2 | |
Recency | 100 | -- | |
Output Capacity | 80 | 0 | |
| Overall Result | 2 wins | of 5 | 2 wins |
29
days ranked higher
1
days
0
days ranked higher
Anthropic
Alibaba
Qwen3.5-27B saves you $252.50/month
That's $3030.00/year compared to Claude Haiku 4.5 at your current usage level of 100K calls/month.
| Metric | Claude Haiku 4.5 | Qwen3.5-27B | Winner |
|---|---|---|---|
| Overall Score | 94 | 87 | Claude Haiku 4.5 |
| Rank | #20 | #43 | Claude Haiku 4.5 |
| Quality Rank | #20 | #43 | Claude Haiku 4.5 |
| Adoption Rank | #20 | #43 | Claude Haiku 4.5 |
| Parameters | -- | 27B | -- |
| Context Window | 200K | 262K | Qwen3.5-27B |
| Pricing | $1.00/$5.00/M | $0.20/$1.56/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 83 | Claude Haiku 4.5 |
| Pricing | 5 | 2 | Claude Haiku 4.5 |
| Context window size | 84 | 86 | Qwen3.5-27B |
| Recency | 100 | 100 | Claude Haiku 4.5 |
| Output Capacity | 80 | 80 | Qwen3.5-27B |
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 94/100 (rank #20), placing it in the top 93% of all 290 models tracked.
Scores 87/100 (rank #43), placing it in the top 86% of all 290 models tracked.
Claude Haiku 4.5 has a 7-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Qwen3.5-27B offers 71% better value per quality point. At 1M tokens/day, you'd spend $26.33/month with Qwen3.5-27B vs $90.00/month with Claude Haiku 4.5 — a $63.67 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. Qwen3.5-27B 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 ($1.56/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (94/100) 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 Haiku 4.5 has a moderate advantage with a 7.099999999999994-point lead in composite score. It wins on more signal dimensions, but Qwen3.5-27B has specific strengths that could make it the better choice for certain workflows.
Best for Quality
Claude Haiku 4.5
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3.5-27B
71% lower pricing; better value at scale
Best for Reliability
Claude Haiku 4.5
Higher uptime and faster response speeds
Best for Prototyping
Claude Haiku 4.5
Stronger community support and better developer experience
Best for Production
Claude Haiku 4.5
Wider enterprise adoption and proven at scale
by Anthropic
| Capability | Claude Haiku 4.5 | Qwen3.5-27B |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
Anthropic
Alibaba
Qwen3.5-27B saves you $5.58/month
That's 72% cheaper than Claude Haiku 4.5 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 Haiku 4.5 | Qwen3.5-27B |
|---|---|---|
| Context Window | 200K | 262K |
| Max Output Tokens | 64,000 | 65,536 |
| Open Source | No | Yes |
| Created | Oct 15, 2025 | Feb 25, 2026 |
Claude Haiku 4.5 scores 94/100 (rank #20) compared to Qwen3.5-27B's 87/100 (rank #43), giving it a 7-point advantage. Claude Haiku 4.5 is the stronger overall choice, though Qwen3.5-27B may excel in specific areas like cost efficiency.
Claude Haiku 4.5 is ranked #20 and Qwen3.5-27B is ranked #43 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.
Qwen3.5-27B is cheaper at $1.56/M output tokens vs Claude Haiku 4.5's $5.00/M output tokens — 3.2x more expensive. Input token pricing: Claude Haiku 4.5 at $1.00/M vs Qwen3.5-27B at $0.20/M.
Qwen3.5-27B has a larger context window of 262,144 tokens compared to Claude Haiku 4.5's 200,000 tokens. A larger context window means the model can process longer documents and conversations.