KAT-Coder-Pro V2 vs Qwen3.5 35B A3B
Head-to-head specifications
| Metric | KAT-Coder-Pro V2 | Qwen3.5 35B A3B | Difference |
|---|---|---|---|
| Intelligence Index | 34.0 | 27.0 | +25.9% |
| Context window | 262K tokens | 512K tokens | — |
| Blended price ($/1M tokens) | $0.22 | $0.39 | -43.6% |
| Access | Open weights | Open weights | — |
- KAT-Coder-Pro V2 leads overall capability (Intelligence Index 34.0 vs 27.0).
- KAT-Coder-Pro V2 is the cheaper model to run at $0.22/1M blended tokens — about 1.8× cheaper.
- Qwen3.5 35B A3B offers the larger context window (512K tokens), useful for long documents and codebases.
Verdict: KAT-Coder-Pro V2 or Qwen3.5 35B A3B?
KAT-Coder-Pro V2 advantages
- General intelligence (+21%)
- Affordability (+44%)
Qwen3.5 35B A3B advantages
- Context window (+49%)
Which should you choose?
- Choose the KAT-Coder-Pro V2 if you need the strongest overall reasoning and accuracy.
- Choose the Qwen3.5 35B A3B if you work with long documents or large codebases.
- Choose the KAT-Coder-Pro V2 if you want the lowest cost per token at scale.
Value for money
KAT-Coder-Pro V2 offers more intelligence per dollar (2.2× the Intelligence-Index-per-cost of the alternative), making it the stronger value for high-volume use. It is also open-weight, so self-hosting can reduce costs further at scale.
KAT-Coder-Pro V2 vs Qwen3.5 35B A3B: which should you choose?
KAT-Coder-Pro V2 — KAT text model with an Intelligence Index of 34, a 262K-token context window and a blended price of $0.22/1M tokens (open weights).
Qwen3.5 35B A3B — Alibaba text model with an Intelligence Index of 27, a 512K-token context window and a blended price of $0.39/1M tokens (open weights).
KAT-Coder-Pro V2 vs Qwen3.5 35B A3B: KAT-Coder-Pro V2 scores higher on the Intelligence Index. KAT-Coder-Pro V2 leads overall capability (Intelligence Index 34.0 vs 27.0). KAT-Coder-Pro V2 is the cheaper model to run at $0.22/1M blended tokens — about 1.8× cheaper.
Capability: intelligence, coding and agentic work
On the composite Intelligence Index the KAT-Coder-Pro V2 scores 34.0 versus 27.0. Composite indices summarize many evaluations, but always test on your own workload before committing.
Context window and speed
The Qwen3.5 35B A3B accepts up to 512K tokens per request, which sets how much documentation, transcript or code it can reason over at once.
Pricing and access
At blended per-token rates, KAT-Coder-Pro V2 is the cheaper model to run ($0.22 vs $0.39 per 1M tokens). KAT-Coder-Pro V2 is open weights and Qwen3.5 35B A3B is open weights. Open-weight models can be self-hosted, trading per-call cost for infrastructure you manage; for production also weigh rate limits, throughput and data-residency requirements.
The verdict
Both are credible choices in the ai model comparison space; the specification table above lays out every metric so you can weigh the trade-offs that matter to you. Pick the one whose strengths line up with how you will actually use it.
Frequently asked questions
Is the KAT-Coder-Pro V2 better than the Qwen3.5 35B A3B?
KAT-Coder-Pro V2 takes the overall edge, though Qwen3.5 35B A3B wins in specific areas worth weighing. KAT-Coder-Pro V2 leads overall capability (Intelligence Index 34.0 vs 27.0).
What is the main difference between the KAT-Coder-Pro V2 and the Qwen3.5 35B A3B?
KAT-Coder-Pro V2 leads overall capability (Intelligence Index 34.0 vs 27.0). KAT-Coder-Pro V2 is the cheaper model to run at $0.22/1M blended tokens — about 1.8× cheaper.
Which is better value?
KAT-Coder-Pro V2 offers more intelligence per dollar (2.2× the Intelligence-Index-per-cost of the alternative), making it the stronger value for high-volume use. It is also open-weight, so self-hosting can reduce costs further at scale.
Which should I choose?
Choose the KAT-Coder-Pro V2 if you need the strongest overall reasoning and accuracy. Choose the Qwen3.5 35B A3B if you work with long documents or large codebases.
Methodology
Large language models are compared on independent leaderboard metrics: an Intelligence Index (a composite of reasoning and knowledge evaluations), Coding and Agentic indices where measured, community arena Elo, maximum context window, a blended API price per million tokens (weighted across cache-hit, input and output rates), and measured output speed in tokens per second. Where a model ships multiple reasoning-effort variants, we report its strongest variant. Benchmarks capture only part of real-world quality, which also depends on tool use, latency, safety and task fit — and this space moves quickly, so figures reflect the leaderboard snapshot on the page date.