| Signal | Claude Opus 4.5 | Delta | Qwen3.5-122B-A10B |
|---|---|---|---|
Capabilities | 100 | +17 | |
Benchmarks | 89 | +89 | |
Pricing | 25 | +23 | |
Context window size | 84 | -2 | |
Recency | 100 | -- | |
Output Capacity | 80 | 0 | |
| Overall Result | 3 wins | of 6 | 2 wins |
28
days ranked higher
1
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1
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Anthropic
Alibaba
Qwen3.5-122B-A10B saves you $1620.00/month
That's $19440.00/year compared to Claude Opus 4.5 at your current usage level of 100K calls/month.
| Metric | Claude Opus 4.5 | Qwen3.5-122B-A10B | Winner |
|---|---|---|---|
| Overall Score | 92 | 87 | Claude Opus 4.5 |
| Rank | #21 | #44 | Claude Opus 4.5 |
| Quality Rank | #21 | #44 | Claude Opus 4.5 |
| Adoption Rank | #21 | #44 | Claude Opus 4.5 |
| Parameters | -- | 122B | -- |
| Context Window | 200K | 262K | Qwen3.5-122B-A10B |
| Pricing | $5.00/$25.00/M | $0.26/$2.08/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 83 | Claude Opus 4.5 |
| Benchmarks | 89 | -- | Claude Opus 4.5 |
| Pricing | 25 | 2 | Claude Opus 4.5 |
| Context window size | 84 | 86 | Qwen3.5-122B-A10B |
| Recency | 100 | 100 | Claude Opus 4.5 |
| Output Capacity | 80 | 80 | Qwen3.5-122B-A10B |
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 92/100 (rank #21), placing it in the top 93% of all 290 models tracked.
Scores 87/100 (rank #44), placing it in the top 85% of all 290 models tracked.
Claude Opus 4.5 has a 6-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Qwen3.5-122B-A10B offers 92% better value per quality point. At 1M tokens/day, you'd spend $35.10/month with Qwen3.5-122B-A10B vs $450.00/month with Claude Opus 4.5 — a $414.90 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. Qwen3.5-122B-A10B 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 ($2.08/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (92/100) 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 4.5 has a moderate advantage with a 5.599999999999994-point lead in composite score. It wins on more signal dimensions, but Qwen3.5-122B-A10B has specific strengths that could make it the better choice for certain workflows.
Best for Quality
Claude Opus 4.5
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3.5-122B-A10B
92% lower pricing; better value at scale
Best for Reliability
Claude Opus 4.5
Higher uptime and faster response speeds
Best for Prototyping
Claude Opus 4.5
Stronger community support and better developer experience
Best for Production
Claude Opus 4.5
Wider enterprise adoption and proven at scale
by Anthropic
| Capability | Claude Opus 4.5 | Qwen3.5-122B-A10B |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
Anthropic
Alibaba
Qwen3.5-122B-A10B saves you $36.04/month
That's 92% cheaper than Claude Opus 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 Opus 4.5 | Qwen3.5-122B-A10B |
|---|---|---|
| Context Window | 200K | 262K |
| Max Output Tokens | 64,000 | 65,536 |
| Open Source | No | Yes |
| Created | Nov 24, 2025 | Feb 25, 2026 |
Claude Opus 4.5 scores 92/100 (rank #21) compared to Qwen3.5-122B-A10B's 87/100 (rank #44), giving it a 6-point advantage. Claude Opus 4.5 is the stronger overall choice, though Qwen3.5-122B-A10B may excel in specific areas like cost efficiency.
Claude Opus 4.5 is ranked #21 and Qwen3.5-122B-A10B is ranked #44 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.
Qwen3.5-122B-A10B is cheaper at $2.08/M output tokens vs Claude Opus 4.5's $25.00/M output tokens — 12.0x more expensive. Input token pricing: Claude Opus 4.5 at $5.00/M vs Qwen3.5-122B-A10B at $0.26/M.
Qwen3.5-122B-A10B has a larger context window of 262,144 tokens compared to Claude Opus 4.5's 200,000 tokens. A larger context window means the model can process longer documents and conversations.