| Signal | Claude Sonnet 4.6 | Delta | Qwen3.5-Flash |
|---|---|---|---|
Capabilities | 100 | +17 | |
Benchmarks | 82 | +16 | |
Pricing | 85 | -15 | |
Context window size | 95 | -- | |
Recency | 100 | -- | |
Output Capacity | 85 | +5 | |
| Overall Result | 3 wins | of 6 | 1 wins |
Score History
85.2
current score
Claude Sonnet 4.6
right now
68.7
current score
Anthropic
Alibaba
Qwen3.5-Flash saves you $1030.50/month
That's $12366.00/year compared to Claude Sonnet 4.6 at your current usage level of 100K calls/month.
| Metric | Claude Sonnet 4.6 | Qwen3.5-Flash | Winner |
|---|---|---|---|
| Overall Score | 85 | 69 | Claude Sonnet 4.6 |
| Rank | #25 | #109 | Claude Sonnet 4.6 |
| Quality Rank | #25 | #109 | Claude Sonnet 4.6 |
| Adoption Rank | #25 | #109 | Claude Sonnet 4.6 |
| Parameters | -- | -- | -- |
| Context Window | 1000K | 1000K | -- |
| Pricing | $3.00/$15.00/M | $0.07/$0.26/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 83 | Claude Sonnet 4.6 |
| Benchmarks | 82 | 66 | Claude Sonnet 4.6 |
| Pricing | 85 | 100 | Qwen3.5-Flash |
| Context window size | 95 | 95 | Claude Sonnet 4.6 |
| Recency | 100 | 100 | Claude Sonnet 4.6 |
| Output Capacity | 85 | 80 | Claude Sonnet 4.6 |
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 85/100 (rank #25), placing it in the top 92% of all 290 models tracked.
Scores 69/100 (rank #109), placing it in the top 63% of all 290 models tracked.
Claude Sonnet 4.6 has a 17-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Qwen3.5-Flash offers 98% better value per quality point. At 1M tokens/day, you'd spend $4.88/month with Qwen3.5-Flash vs $270.00/month with Claude Sonnet 4.6 - a $265.13 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 (85/100) 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 Sonnet 4.6 clearly outperforms Qwen3.5-Flash with a significant 16.5-point lead. For most general use cases, Claude Sonnet 4.6 is the stronger choice. However, Qwen3.5-Flash may still excel in niche scenarios.
Best for Quality
Claude Sonnet 4.6
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3.5-Flash
98% lower pricing; better value at scale
Best for Reliability
Claude Sonnet 4.6
Higher uptime and faster response speeds
Best for Prototyping
Claude Sonnet 4.6
Stronger community support and better developer experience
Best for Production
Claude Sonnet 4.6
Wider enterprise adoption and proven at scale
by Anthropic
| Capability | Claude Sonnet 4.6 | Qwen3.5-Flash |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
Anthropic
Alibaba
Qwen3.5-Flash saves you $22.97/month
That's 98% cheaper than Claude Sonnet 4.6 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 Sonnet 4.6 | Qwen3.5-Flash |
|---|---|---|
| Context Window | 1M | 1M |
| Max Output Tokens | 128,000 | 65,536 |
| Open Source | No | No |
| Created | Feb 17, 2026 | Feb 25, 2026 |
The 66/100 vs 60/100 score gap represents a significant quality difference in code generation accuracy and completeness, where each point typically correlates with exponentially fewer debugging cycles. Claude Sonnet 4.6's $15/M output tokens reflects enterprise-grade reliability expectations, while Qwen3.5-Flash's $0.26/M positioning targets high-volume, error-tolerant workloads like code suggestions or first-draft generation.
At 10M daily output tokens, you're looking at $150/day with Claude vs $2.60/day with Qwen3.5-Flash - a $53,900 annual difference. Qwen3.5-Flash becomes compelling for automated code reviews, documentation generation, or test scaffolding where its rank #32 performance is sufficient, while Claude's rank #6 position justifies the premium for production code generation or complex refactoring tasks.
Web search transforms Claude from a static knowledge model into a dynamic coding assistant that can fetch current API documentation, library updates, and Stack Overflow solutions - critical given both models share the same 1.0M token context window. Without web search, Qwen3.5-Flash users must manually paste documentation into prompts, potentially consuming 100K+ tokens per session that Claude can retrieve automatically.
Video processing capability doesn't translate to coding performance - Qwen3.5-Flash's multimodal architecture likely trades parameter efficiency for broader input support, explaining its 60/100 score despite the expanded modalities. Claude Sonnet 4.6's text+image focus allows deeper specialization in code understanding, achieving 66/100 without the computational overhead of video processing.
The 1.94x output advantage means Claude can generate entire microservices (typically 80-120K tokens) in a single response, while Qwen3.5-Flash hits its 66K ceiling mid-implementation, requiring multiple prompts and manual stitching. For $0.065/M input tokens, Qwen3.5-Flash's re-prompting overhead quickly erodes its 46x input price advantage when generating large codebases.
Anthropic's Claude ecosystem offers deeper Western cloud provider integrations and compliance certifications, while Alibaba's Qwen3.5-Flash provides stronger Asian market presence and potentially better Chinese code comment handling despite both being closed-source. The 57.7x price differential suggests different infrastructure strategies - Claude targeting Fortune 500 deployments while Qwen aims for cost-sensitive markets where rank #32 coding performance meets the bar.