| Signal | KAT-Coder-Pro V2 | Delta | Qwen3 VL 235B A22B Thinking |
|---|---|---|---|
Capabilities | 50 | -33 | |
Pricing | 1 | -1 | |
Context window size | 86 | +5 | |
Recency | 100 | +2 | |
Output Capacity | 82 | +6 | |
Benchmarks | 0 | -66 | |
| Overall Result | 3 wins | of 6 | 3 wins |
0
days higher
0
days
30
days higher
Kuaishou
Alibaba
KAT-Coder-Pro V2 saves you $66.00/month
That's $792.00/year compared to Qwen3 VL 235B A22B Thinking at your current usage level of 100K calls/month.
| Metric | KAT-Coder-Pro V2 | Qwen3 VL 235B A22B Thinking | Winner |
|---|---|---|---|
| Overall Score | 40 | 68 | Qwen3 VL 235B A22B Thinking |
| Rank | #126 | #72 | Qwen3 VL 235B A22B Thinking |
| Quality Rank | #126 | #72 | Qwen3 VL 235B A22B Thinking |
| Adoption Rank | #126 | #72 | Qwen3 VL 235B A22B Thinking |
| Parameters | -- | 235B | -- |
| Context Window | 256K | 131K | KAT-Coder-Pro V2 |
| Pricing | $0.30/$1.20/M | $0.26/$2.60/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 83 | Qwen3 VL 235B A22B Thinking |
| Pricing | 1 | 3 | Qwen3 VL 235B A22B Thinking |
| Context window size | 86 | 81 | KAT-Coder-Pro V2 |
| Recency | 100 | 98 | KAT-Coder-Pro V2 |
| Output Capacity | 82 | 75 | KAT-Coder-Pro V2 |
| Benchmarks | -- | 66 | Qwen3 VL 235B A22B Thinking |
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%). Here's what the scores mean for these two models:
Scores 40/100 (rank #126), placing it in the top 57% of all 290 models tracked.
Scores 68/100 (rank #72), placing it in the top 76% of all 290 models tracked.
Qwen3 VL 235B A22B Thinking has a 28-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
KAT-Coder-Pro V2 offers 48% better value per quality point. At 1M tokens/day, you'd spend $22.50/month with KAT-Coder-Pro V2 vs $42.90/month with Qwen3 VL 235B A22B Thinking - a $20.40 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. KAT-Coder-Pro V2 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (256K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($1.20/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (68/100) 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
Qwen3 VL 235B A22B Thinking clearly outperforms KAT-Coder-Pro V2 with a significant 27.599999999999994-point lead. For most general use cases, Qwen3 VL 235B A22B Thinking is the stronger choice. However, KAT-Coder-Pro V2 may still excel in niche scenarios.
Best for Quality
KAT-Coder-Pro V2
Marginally better benchmark scores; both are excellent
Best for Cost
KAT-Coder-Pro V2
48% lower pricing; better value at scale
Best for Reliability
KAT-Coder-Pro V2
Higher uptime and faster response speeds
Best for Prototyping
KAT-Coder-Pro V2
Stronger community support and better developer experience
Best for Production
KAT-Coder-Pro V2
Wider enterprise adoption and proven at scale
by Kuaishou
| Capability | KAT-Coder-Pro V2 | Qwen3 VL 235B A22B Thinking |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Kuaishou
Alibaba
KAT-Coder-Pro V2 saves you $1.61/month
That's 45% cheaper than Qwen3 VL 235B A22B Thinking 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 | KAT-Coder-Pro V2 | Qwen3 VL 235B A22B Thinking |
|---|---|---|
| Context Window | 256K | 131K |
| Max Output Tokens | 80,000 | 32,768 |
| Open Source | No | Yes |
| Created | Mar 27, 2026 | Sep 23, 2025 |
Qwen3 VL 235B A22B Thinking scores 68/100 (rank #72) compared to KAT-Coder-Pro V2's 40/100 (rank #126), giving it a 28-point advantage. Qwen3 VL 235B A22B Thinking is the stronger overall choice, though KAT-Coder-Pro V2 may excel in specific areas like cost efficiency.
KAT-Coder-Pro V2 is ranked #126 and Qwen3 VL 235B A22B Thinking is ranked #72 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
KAT-Coder-Pro V2 is cheaper at $1.20/M output tokens vs Qwen3 VL 235B A22B Thinking's $2.60/M output tokens - 2.2x more expensive. Input token pricing: KAT-Coder-Pro V2 at $0.30/M vs Qwen3 VL 235B A22B Thinking at $0.26/M.
KAT-Coder-Pro V2 has a larger context window of 256,000 tokens compared to Qwen3 VL 235B A22B Thinking's 131,072 tokens. A larger context window means the model can process longer documents and conversations.